CN117713091A - D+1 day graphical checking method, device and equipment based on future ultra-short term data - Google Patents
D+1 day graphical checking method, device and equipment based on future ultra-short term data Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
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- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The application discloses a D+1 day graphical checking method, device and equipment based on future ultra-short term data, and relates to the technical field of power systems, wherein the method comprises the following steps: and loading day-ahead scheduling plan data on the power grid model data section formed based on real-time state calculation, replacing corresponding day-ahead scheduling plan data by rolling the latest ultra-short-term prediction data in the day, forming latest future D+1 day power grid basic operation mode data, and carrying out safety check. If the safety check is not passed, adopting a graphical operation means to adjust, including electric mode adjustment, simulated trans-provincial transaction, direct current power adjustment, unit output batch adjustment, load power batch adjustment and the like, to form a final safe future power grid operation mode, carrying out trend and safety margin comparison analysis before and after operation, storing calculation results in a real-time library and carrying out quantitative evaluation, accurately simulating and generating the future power grid operation mode and carrying out operation safety check, and ensuring that the safety margin of the power grid before and after operation is abundant.
Description
Technical Field
The application relates to the technical field of power systems, in particular to a D+1 day graphical checking method, device and equipment based on future ultra-short term data.
Background
With the continuous expansion of the installation scale of new energy and the improvement of the external direct current feed-in level, the power system presents the double-high characteristic of high-proportion renewable energy and high-proportion power electronic equipment. Because the running mode of the power grid changes frequently, the running risk caused by sudden faults is also continuously improved, and meanwhile, as the construction of the power market advances deeply, the uncertainty of the running of the power grid is more remarkable, and even the historical rare trend distribution and running state occur.
In the related technology, the continuous application of online safety analysis can realize real-time state analysis based on current power grid operation data and research state analysis based on historical section data. However, the applicant realizes that in the face of future variable power grid operation modes, the conventional overhaul mode cannot effectively sense risks, and the adjustment of power grid model data to operation data consistent with future power grid operation is very inconvenient, and the data such as loads, direct currents, units and the like need to be manually adjusted, so that the workload of manual adjustment is huge, and the problems of low capability of regulating and controlling operators to drive a large power grid to operate and low power grid safety stability are caused.
Disclosure of Invention
In view of this, the application provides a d+1 day graphical checking method, device and equipment based on future ultra-short term data, which mainly aims to solve the problems that the traditional overhaul mode cannot effectively sense risks, and the adjustment of power grid model data to operation data consistent with the operation of a future power grid is inconvenient, and the data such as load, direct current, units and the like need to be manually adjusted, so that the workload of manual adjustment is huge, the capability of regulating and controlling operators to drive a large power grid to operate is low, and the safety and stability of the power grid are low.
According to a first aspect of the present application, there is provided a d+1 day graphical checking method based on future ultra-short term data, the method comprising:
loading scheduling day-ahead planning data, acquiring intra-day ultra-short-term prediction data, replacing the scheduling day-ahead planning data of a corresponding period by the intra-day ultra-short-term prediction data, and integrating the replaced scheduling day-ahead planning data with a reference section generated by calculating power grid real-time state data to acquire future D+1-day power grid operation mode data;
acquiring future D+1 day critical operation information, performing pre-operation simulation on the future D+1 day critical operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation, and performing safety check operation on the operation mode data after operation to obtain a safety assessment result, wherein the safety check operation comprises static safety assessment, transient stability analysis and short-circuit current safety analysis;
If the safety evaluation result indicates that risk check does not pass, combining the future D+1-day power grid operation mode data, adopting a graphical adjustment means to perform mode adjustment on a power grid tidal current diagram, and obtaining the operated future power grid operation mode data through power flow calculation, wherein the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment;
and carrying out power flow comparison on the future D+1-day power grid operation mode data and the operated future power grid operation mode data to obtain a plurality of power flow change information, and displaying the plurality of power flow change information as a safety check result.
According to a second aspect of the present application, there is provided a d+1 day graphical checking device based on future ultra-short term data, the device comprising:
the integration module is used for loading scheduling day-ahead planning data, acquiring intra-day ultra-short-term prediction data, replacing the scheduling day-ahead planning data in a corresponding period by the intra-day ultra-short-term prediction data, integrating the replaced scheduling day-ahead planning data with a reference section calculated and generated by utilizing the real-time state data of the power grid, and acquiring future D+1-day power grid operation mode data;
The checking module is used for acquiring future D+1 day significant operation information, performing pre-operation simulation on the future D+1 day significant operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation, and performing safety checking operation on the operation mode data after operation to obtain a safety evaluation result, wherein the safety checking operation comprises static safety evaluation, transient stability analysis and short-circuit current safety analysis;
the adjustment module is used for carrying out mode adjustment on a power grid tidal current diagram by adopting a graphical adjustment means if the security evaluation result indicates that the risk check does not pass, and obtaining the operated future power grid operation mode data by means of power flow calculation, wherein the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment;
the comparison module is used for carrying out power flow comparison on the future D+1-day power grid operation mode data and the operated future power grid operation mode data to obtain a plurality of power flow change information, and displaying the plurality of power flow change information as a safety check result.
According to a third aspect of the present application there is provided an apparatus comprising a memory storing a computer program and a processor implementing the steps of the method of any of the first aspects described above when the computer program is executed by the processor.
By means of the technical scheme, the D+1 day graphical checking method, the device and the equipment based on the future ultra-short term data load the scheduling daily planning data, acquire the daily ultra-short term prediction data, replace the scheduling daily planning data of a corresponding period by the daily ultra-short term prediction data, integrate the replaced scheduling daily planning data with a reference section calculated and generated by using the power grid real-time state data to obtain future D+1 day power grid operation mode data, acquire future D+1 day major operation information, pre-operate and simulate the future D+1 day major operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode, perform security checking operation on the operated operation mode data to obtain a security evaluation result, combine the future D+1 day power grid operation mode data if the security evaluation result indicates that risk checking is not passed, perform mode adjustment on the power grid by adopting a graphical adjustment means, perform power grid operation mode calculation to obtain the operated future operation mode data, perform multi-change on the future power grid operation mode data and display the power grid operation mode data after the future D+1 day and the power grid operation mode data as security check result. The safety check operation comprises static safety evaluation, transient stability analysis and short-circuit current safety analysis, and the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment. The power grid forming mode of loading the latest ultra-short term data can accurately simulate and generate a future power grid running mode and carry out operation safety check, effectively sense risks, improve the friendliness of man-machine interaction through graphical operation and display, ensure sufficient power grid safety margin before and after operation, and improve the safety and stability of the power grid.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a schematic flow chart of a d+1 day graphical checking method based on future ultra-short term data according to an embodiment of the present application;
fig. 2A shows a schematic flow chart of a d+1 day graphical checking method based on future ultra-short term data according to an embodiment of the present application;
FIG. 2B shows a flowchart of a D+1 day graphical verification method based on future ultra-short term data according to an embodiment of the present application;
fig. 3A shows a schematic structural diagram of d+1 day graphical verification based on future ultra-short term data according to an embodiment of the present application;
Fig. 3B shows a schematic structural diagram of d+1 day graphical verification based on future ultra-short term data according to an embodiment of the present application;
fig. 4 shows a schematic device structure of an apparatus according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the application provides a D+1 day graphical checking method based on future ultra-short term data, as shown in fig. 1, the method comprises the following steps:
101. loading scheduling day-ahead planning data, acquiring intra-day ultra-short-term prediction data, replacing the scheduling day-ahead planning data of a corresponding period by the intra-day ultra-short-term prediction data, and integrating the replaced scheduling day-ahead planning data with a reference section calculated and generated by utilizing the real-time state data of the power grid to acquire future D+1-day power grid operation mode data.
The continuous application of the current online safety analysis can realize real-time state analysis based on current power grid operation data and research state analysis based on historical section data, but aiming at future changeable power grid operation modes, risk cannot be effectively perceived when serious operation and overhaul of the future D+1 day are arranged, the power grid model data can be very inconvenient to adjust to operation data consistent with the future power grid operation only by a research state mode adjustment technology, the data such as load, direct current, a unit and the like need to be manually adjusted, and the workload of manual adjustment is huge.
In order to solve the problem, the application provides a D+1 day graphical checking method based on future ultra-short term data, which takes real-time data of a power grid as a basis to obtain day-ahead scheduling plan data, rolls and updates the corresponding day-ahead ultra-short term prediction data, and accesses important operation information and the like to carry out future D+1 day operation and then graphically display safety checking and calculation results as main routes. Aiming at the characteristics that day-ahead scheduling plan data are updated according to days and within-day ultra-short-term prediction data are updated according to 15-minute periods, the ultra-short-term prediction data are updated to the day-ahead scheduling plan data according to corresponding time intervals in a rolling mode, basic operation data of a future D+1-day power grid are integrated, a tidal current diagram of the future D+1-day power grid is formed, significant operation of the future D+1-day power grid is directly adjusted through the tidal current diagram, a parallel calculation scheduling strategy is utilized, safety check after operation is achieved, a safety evaluation result is given, and the running risk of the power grid is pre-warned. And meanwhile, aiming at the condition that checking fails, multiple mode adjustment of future power grid operation mode data is realized through a graphical adjustment means, the safety and stability margin of the power grid after operation is ensured to be abundant, power flow comparison and safety margin analysis before and after operation are carried out by taking power grid equipment as objects, and the associated risk of scheduling operation in the future power grid operation mode is effectively estimated. The execution main body of the method and the system can be a safety check system, the safety check system provides services for users by means of the computing capacity of a server, the server can be an independent server, cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, safety services, content distribution networks (Content Delivery Network, CDNs), and servers for basic cloud computing such as big data and artificial intelligent platforms, so that future power grid operation modes can be accurately simulated and operation safety check can be carried out, and the safety margin of the power grid before and after operation is ensured.
In the embodiment of the application, the safety check system loads the scheduling day-ahead planning data, acquires the intra-day ultra-short-term prediction data, and replaces the scheduling day-ahead planning data of a corresponding period with the intra-day ultra-short-term prediction data. The scheduling day-ahead plan data provides time point data with 15 minutes intervals within 24 hours, and the scheduling day-ahead plan data comprises a power generation plan, a bus load prediction, a maintenance plan, a tie line plan, a device shutdown plan, a direct current plan and the like, and the daily ultra-short term prediction data provides time point data with 15 minutes intervals within 8 hours. And then, integrating the replaced scheduling day-ahead planning data with a reference section generated by calculating the real-time state data of the power grid by the safety checking system to obtain future D+1-day power grid operation mode data. The reference section is formed based on real-time data of the power grid, namely the whole-grid model data section. In this way, the scheduling day-ahead planning data of the corresponding period is replaced by the latest ultra-short-term prediction data in the day, and the scheduling day-ahead planning data and the reference section are integrated to form the future D+1-day power grid operation mode data, so that the future power grid operation mode can be accurately simulated and generated, and operation safety check can be carried out.
102. The method comprises the steps of obtaining future D+1 day significant operation information, performing pre-operation simulation on the future D+1 day significant operation information and future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation, and performing security check operation on the operation mode data after operation to obtain a security assessment result.
In the embodiment of the application, the safety check system acquires the future D+1 day critical operation information, and performs pre-operation simulation on the future D+1 day critical operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain the operation mode data after operation. And then, the safety checking system performs safety checking operation on the operated running mode data to obtain a safety evaluation result. In this way, the operation mode data after operation is formed through graphical operation adjustment, then multi-mode parallel calculation scheduling is adopted, the calculation speed is improved, safety check after significant operation of the power grid in the future D+1 days is realized, a safety evaluation result is given, and the power grid operation risk is early warned. The safety check operation comprises static safety assessment, transient stability analysis, short-circuit current safety analysis and the like.
103. If the safety evaluation result indicates that the risk check does not pass, combining the future D+1-day power grid operation mode data, adopting a graphical adjustment means to perform mode adjustment on a power grid tidal current diagram, and obtaining the operated future power grid operation mode data through tide calculation.
In the embodiment of the application, if the security assessment result indicates that risk check is not passed, the security check system combines the future d+1 day power grid operation mode data, adopts a graphical adjustment means to perform mode adjustment on a power grid tidal current diagram, and obtains the operated future power grid operation mode data through tide calculation. In this way, by combining risk check given by a safety check result after major operation of the future D+1 day, the method is adjusted by using a graphical adjustment means according to the principle of active output and active load balance of the whole network, so that a final safe future power grid operation mode is formed, and the safety and stability margin of the power grid after operation is ensured to be abundant. The graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment and the like.
104. And carrying out power flow comparison on the future D+1-day power grid operation mode data and the operated future power grid operation mode data to obtain a plurality of power flow change information, and displaying the plurality of power flow change information as a safety check result.
In the embodiment of the application, the safety check system compares the future D+1-day power grid operation mode data with the operated future power grid operation mode data to obtain a plurality of power flow change information, and displays the plurality of power flow change information as a safety check result, so that the influence of actual electric operation and the like on the future power grid operation mode can be quantitatively evaluated, and the associated risk of scheduling operation in the future power grid operation mode can be effectively evaluated.
According to the method provided by the embodiment of the application, the daily front planning data is loaded, the daily ultra-short term prediction data is obtained, the daily ultra-short term prediction data is adopted to replace the scheduling daily front planning data of a corresponding period, the replaced scheduling daily front planning data is integrated with a reference section generated by calculating power grid real-time state data to obtain future D+1-day power grid operation mode data, future D+1-day major operation information is obtained, a graphical adjustment mode is adopted to conduct pre-operation simulation on the future D+1-day major operation information and the future D+1-day power grid operation mode data, operation mode data after operation is obtained, safety check operation is conducted on the operation mode data after operation to obtain a safety evaluation result, if the safety evaluation result indicates that risk check does not pass, the future D+1-day power grid operation mode data is combined, mode adjustment is conducted on a power grid tidal current flow graph through a graphical adjustment mode, the future D+1-day power grid operation mode data is obtained through power flow calculation, trend comparison is conducted on the future D+1-day power grid operation mode data and the future power grid operation mode data after operation is conducted, and a plurality of power flow change information is obtained, and the safety check result is displayed. The safety check operation comprises static safety evaluation, transient stability analysis and short-circuit current safety analysis, and the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment. The power grid forming mode of loading the latest ultra-short term data can accurately simulate and generate a future power grid running mode and carry out operation safety check, effectively sense risks, improve the friendliness of man-machine interaction through graphical operation and display, ensure sufficient power grid safety margin before and after operation, and improve the safety and stability of the power grid.
Further, as a refinement and extension of the foregoing embodiment, in order to fully describe a specific implementation process of the embodiment, the embodiment of the present application provides another d+1 day graphical checking method based on future ultra-short term data, as shown in fig. 2A, where the method includes:
201. and loading scheduling day-ahead plan data, acquiring intra-day ultra-short-term prediction data, and replacing the scheduling day-ahead plan data of a corresponding period by the intra-day ultra-short-term prediction data.
In the embodiment of the application, the day-ahead power grid planning considered by the day-ahead planning data is scheduled, the spanning time scale is large, the prediction is not accurate enough, and a large difference exists between the day-ahead power grid planning and the actual power grid operation mode. In comparison, the scheduling day-ahead planning data which is updated continuously according to means such as ultra-short-term prediction is closer to the actual power grid operation mode. Considering that the scheduling day-ahead planning data and the intra-day ultra-short-term prediction data both provide the planning data section at 15-minute intervals, the safety check system takes the data time tag-power grid equipment as a search object, and the corresponding time period data in the intra-day ultra-short-term prediction data is updated to the scheduling day-ahead planning data in a point-to-point mode. Specifically, the safety checking system acquires a plurality of planning data time in the planning data before the scheduling day, determines a planning data section corresponding to each planning data time, acquires a plurality of prediction data time in the ultra-short-term prediction data in the day, and determines a prediction data section corresponding to each prediction data time. Then, the safety check system determines a target planned data time matching the predicted data time among the plurality of planned data times for each predicted data time, and replaces the planned data section corresponding to the target planned data time with the predicted data section corresponding to the predicted data time. And then, replacing the scheduling day-ahead planning data by the safety checking system by adopting the predicted data section corresponding to each predicted data time to obtain the replaced scheduling day-ahead planning data.
202. And integrating the replaced scheduling day-ahead planning data with a reference section calculated and generated by using the real-time state data of the power grid to obtain future D+1 day power grid planning data.
In the embodiment of the application, the safety check system integrates the replaced scheduling day-ahead planning data with a reference section generated by calculating the real-time state data of the power grid to obtain future D+1-day power grid planning data. The future D+1 day power grid planning data comprise a whole-grid generator plan, load prediction data, a device outage plan, a tie line port sub-plan, a direct current plan and the like.
203. And acquiring a device topology connection relation, and performing data inspection and error correction on the future D+1-day power grid planning data by adopting the device topology connection relation to obtain future D+1-day power grid operation mode data.
In the embodiment of the application, the power balance and the data rationality of the electrical equipment need to be checked in the data integration process. Therefore, the safety checking system checks the active power abnormality processing and the rationality of the electrical equipment.
Aiming at the situation that only partial equipment planning values are provided in the whole-network generator planning and load prediction data, the generator output and load active power of a reference section are adopted as the corresponding equipment active plan in a future power grid operation mode. Specifically, the safety check system acquires whole-network generator plan and load prediction data from future D+1 day grid plan data. Then, the safety checking system acquires the number of preset planning values, and counts the number of equipment planning values in the whole-network generator planning and load prediction data; if the number of the equipment planning values is smaller than the number of the preset planning values, the output and the load active power of the generator are read from the reference section, and the output and the load active power of the generator are used as the equipment active power plan.
And for the situation that part of the power generation plan is provided by the plant output plan, the power generation plan is allocated according to the proportion of the capacity of a single unit in the plant to the capacity of the total unit of the plant, and the obtained active value is used as the active output of the unit without providing planning data. Specifically, if the future d+1 day power grid plan data includes a total active plan of the plant, the safety verification system acquires the total active plan of the plant from the future d+1 day power grid plan data, acquires an active calculation formula, and calculates the total active plan of the plant by using the active calculation formula to obtain a plurality of plan active values, wherein the active calculation formula is the following calculation formula 1:
equation 1:
wherein,for the planned active value of the ith unit in the plant,/->Is the rated capacity of the ith unit in the plant,and (3) planning the total active power of the plant, wherein i is a positive integer. If it isThe total active power of the plant is out of limit, namely, the method meetsOr->The remaining power generation active power is processed as load active power. Wherein,for the upper limit of the active power of the ith unit in the plant station,/->The active lower limit of the ith unit in the plant station.
For the case where the link plan is provided in sections, assuming that both the reference section and the plan data have n links, the line power is divided according to the proportion of the reference section to the total power of the section. Specifically, a tie line mouth sub-plan is obtained from future d+1 day grid plan data. If the tie line port plan is provided by the reference section, determining a plurality of reference section tie lines corresponding to the reference section, and obtaining the reference section active power of each reference section tie line to obtain a plurality of reference section active power. Then, the safety checking system reads the total power of the section plan in the interface sub-plan of the connecting line, calculates the total power of the section plan by adopting a plurality of reference section active powers, and obtains a plurality of plan data active powers, wherein the calculation formula is as follows formula 2:
Equation 2:
wherein,active for the planning data of the ith planning data link, +.>The total power is planned for the section,is the active power of the reference section of the ith reference section connecting line,i is a positive integer.
Checking the active balance of the whole network, calculating unbalanced power of the system through power generation, load, connecting lines and network loss rate, and ensuring the power balance by adjusting the load active or unit output when the unbalanced power of the system is smaller than a threshold value delta (default threshold 900 MW); and when the unbalanced power of the system is larger than the threshold value, terminating the flow. Specifically, firstly, calculating the network loss rate according to total power generation, total load and tie line exchange power in reference section data, namely, a safety checking system determines a plurality of reference section generator sets and a plurality of reference section loads corresponding to reference sections, obtains the active power of each reference section generator set, the active power of each reference section load and the active power of each reference section tie line, calculates by utilizing the active power of each reference section generator set, the active power of each reference section load and the active power of each reference section tie line, and obtains the network loss rate of the reference section system, wherein the calculation formula is as follows formula 3:
Equation 3:
wherein,active power of the ith reference section generator set,/->Active power for the j-th reference section load, < >>Active power for k-th reference section link, +.>Is the net loss rate of the reference section system +.>The number of generators of the reference section, < >>For the number of loads of the reference section, +.>The number of tie lines of the reference section is i, i is a positive integer, and j is a positive integer.
And then combining the network loss rate coefficient obtained by the reference section data, calculating the system unbalance power by utilizing the power generation, load, connecting lines and network loss rate in the planned data section, namely, the safety checking system acquires a plurality of planned data section generating sets, a plurality of planned data section loads and a plurality of planned data section connecting lines in the future D+1 day power grid planned data, acquires the active power of each planned data section generating set, the active power of each planned data section load and the active power of each planned data section connecting line, calculates by utilizing the active power of each planned data section generating set, the active power of each planned data section load, the active power of each planned data section connecting line and the reference section system network loss rate, and obtains the system unbalance power, wherein the calculation formula is as shown in the following formula 4:
Equation 4:
wherein,active power of the generator set for the ith planning data section,Active power for the j-th planned data section load,/->Active power for the kth planned data section link, +.>For planning the number of generators of the data section, +.>For planning data section load number, < >>For planning the number of the data section tie lines, i is a positive integer, and j is a positive integer. And then, the safety checking system acquires a threshold value, and when the unbalanced power of the system is smaller than the threshold value, the load active power or the unit output force is acquired, and the load active power or the unit output force is adjusted.
And checking reactive rationality, wherein the unit reactive power is not provided in most cases in the planning data, and checking can be performed by setting a unit power factor default value K, wherein the K default power factor is 0.9. Specifically, if the future d+1 day power grid plan data does not include reactive power of the unit, the safety verification system obtains active power of the unit in the future d+1 day power grid plan data, obtains a default value of a preset unit power factor, and calculates by using the active power of the unit and the default value of the preset unit power factor to obtain reactive power of the unit, wherein a calculation formula is as follows formula 5:
Equation 5:
wherein,reactive output of the unit>For the active output of the unit, < >>And presetting a default value of the power factor of the unit. If the reactive output of the unit is larger than the reactive limit value of the unit, the unit reactive limit value is adopted to replace the unit withoutAnd (5) outputting power.
And finally, the safety checking system adjusts the future D+1-day power grid planning data by adopting a device active plan, a plurality of plan active values, a plurality of plan data active, the adjusted load active or unit output and unit reactive output to obtain the future D+1-day power grid operation mode data. Therefore, by carrying out data inspection and error correction on the planned data of the power grid in the future D+1 day, the power balance of the electrical equipment and the check of the rationality of the data are realized, and the accuracy of the running mode data of the power grid in the future D+1 day is improved.
204. And acquiring future D+1 day critical operation information, and performing pre-operation simulation on the future D+1 day critical operation information and future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation.
In the embodiment of the application, aiming at the major operation of scheduling operation, the risk of grid operation brought by operation needs to be perceived in advance, so that the electronic operation information is subjected to pre-operation simulation by a graphical adjustment means by accessing the electronic major operation information in combination with the formed future D+1 day grid operation mode data. Specifically, the safety checking system acquires future d+1 day critical operation information, wherein the future d+1 day critical operation information is mainly provided in the form of elements such as expected operation time, operation equipment objects, operation modes and the like. And then, the safety checking system performs pre-operation simulation on the future D+1 day major operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain the operation mode data after operation, for example, performing single-equipment switching on and off of the bus, automatically performing topology analysis on the operated bus to search for related equipment, performing the same operation on related lines, transformers and the like after topology analysis, and finally forming the power grid operation mode data after operation through tide calculation.
205. And performing security check operation on the operated running mode data to obtain a security evaluation result.
In the embodiment of the application, aiming at the operated power grid running mode data, a multi-mode parallel task scheduling calculation strategy for comprehensively calculating the total number of resources is adopted to carry out safety check. And (3) by setting the total number M of modes capable of being scheduled in parallel, the total computing resources are pre-grouped according to M. In this way, the total calculation task number generated in a single check period is combined to be equally divided according to M, and the load balancing principle is considered, so that the dynamic adjustment and distribution of the calculation resources under a single mode group are realized, and a queue list of calculation task parallel calculation is formed. In the actual parallel computing process, a management scheduling node is selected from the computing resources of each mode group, and the management scheduling node is used for decomposing the computing tasks of the mode group into a plurality of parallel subtasks, wherein each subtask can be started concurrently and completed independently. And after all the calculation tasks in the mode group are completed, the management scheduling node recovers the calculation results of the subtasks and packages and uploads the calculation results.
Specifically, the security checking system obtains the total number of preset parallel scheduling modes, obtains the total number of computing resources, and groups the total number of the computing resources according to the total number of the preset parallel scheduling modes to obtain a plurality of mode groups. Next, the security check system performs the following processing for each mode group: acquiring a preset checking period, counting the total number S of the calculation tasks corresponding to the mode group in the checking period, and decomposing the total number S of the calculation tasks to obtain a plurality of subtasks Obtaining a plurality of computing nodes corresponding to the mode group, and adopting the plurality of computing nodes to perform subtasks ∈>Calculating to obtain multiple calculation resultsAnd detecting a plurality of computing nodes. Wherein the computation amounts of the plurality of subtasks are equal. If the plurality of computing nodes are detected to complete the computing operation on the plurality of subtasks, the plurality of computing results are taken as final results, so that the management scheduling node monitors the completion condition of the computing tasks and recovers the computing results in real time, namely based on +.>ObtainingEnd result of the System->. And finally, the safety checking system acquires the final result of each mode group to obtain a plurality of final results.
Further, the safety check system performs safety margin analysis on the running mode of the power grid after future major operation, performs static safety, transient stability, short-circuit current and the like, gives out a corresponding safety evaluation result, and perceives risk points in advance.
Firstly, static security assessment under a power grid operation mode after future major operation is developed by combining parallel computing scheduling strategies. Static security assessment mainly includes two types: based on equipment power flow out-of-limit analysis under real-time working conditions and static safety evaluation after expected N-1 faults.
And (3) analyzing the out-of-limit of the equipment power flow based on the real-time working condition, and mainly analyzing whether the power flow of the line, the transformer and the power transmission section is out-of-limit. Firstly, the safety checking system acquires alternating current line information, transformer information and power transmission section information in operational mode data after operation, reads actual injection current of an alternating current line and rated current of the alternating current line in the alternating current line information, reads actual power of a transformer, actual voltage of the transformer, rated power of the transformer and rated voltage of the transformer in the transformer information, and reads power transmission section operation power and power transmission section operation allowance in the power transmission section information. Then, the safety checking system acquires a power flow out-of-limit calculation formula set, and performs equipment power flow out-of-limit calculation on the actual injection current of the alternating current line and the rated current of the alternating current line, the actual power of the transformer, the actual voltage of the transformer, the rated power of the transformer and the rated voltage of the transformer, the power transmission section operation power and the power transmission section operation limit by using the power flow out-of-limit calculation formula set to obtain an alternating current line load rate, a power transmission section load rate and a transformer load rate, wherein the power flow out-of-limit calculation formula set is as follows calculation formula 6:
Equation 6:
wherein,for the AC line load factor, +.>Actually injecting current into the ac line,/->Rated current for AC line, < >>For the power transmission section load rate, < >>For the power of the transmission section,>for the transmission section operating limit,/->For transformer load factor, +.>For the actual power of the transformer, < >>For the actual voltage of the transformer, < >>Rated power for transformer, +.>Is the rated voltage of the transformer. And then, the safety checking system analyzes the alternating current line load rate, the power transmission section load rate and the transformer load rate to obtain an equipment power flow out-of-limit analysis result.
And for static safety evaluation based on expected N-1 faults, analyzing key information of each static fault by taking the set static fault as a retrieval basic object, including equipment load rate, equipment operation limit value and the like after the expected faults, and displaying the safety state of the power grid after the static faults according to the sequence of the equipment load rate after the faults from large to small. Firstly, the safety checking system acquires static fault key information from the operating mode data after operation, wherein the static fault key information comprises a plurality of preset equipment load rates after faults and a plurality of preset equipment operation limit values after faults. And then, the safety checking system sorts the plurality of preset equipment load rates after the faults according to the sorting from large to small to obtain a sorting result of the equipment load rates after the faults, and performs statistical analysis on the plurality of preset equipment operation limit values after the faults to obtain out-of-limit fault numbers and early warning fault numbers. And then, the safety checking system performs statistical analysis on the equipment load rate sequencing result, the out-of-limit fault number and the early warning fault number after the fault to obtain a static safety analysis result. Therefore, the safety checking system can count static safety overall conditions and risk points under the power grid operation mode after important future operation according to the equipment load rate after the fault, the out-of-limit fault number, the early warning fault number and the like.
And then, carrying out transient stability analysis under a power grid operation mode after future major operation by combining with a parallel computing scheduling strategy. And analyzing key information after each transient fault simulation by taking the set transient fault as a retrieval basic object, and extracting information such as an accelerator group, a decelerator group, a voltage weak bus, a frequency weak bus and the like. Specifically, the safety checking system acquires key information after transient fault simulation in the operating mode data after operation, extracts accelerator group information, decelerator group information, voltage weak bus information and frequency weak bus information from the key information after transient fault simulation, and performs statistical analysis on the accelerator group information, the decelerator group information, the voltage weak bus information and the frequency weak bus information to obtain a transient stability analysis result. Therefore, the safety check system can count transient stability overall conditions and risk points in a power grid operation mode after future major operation.
And then, carrying out short-circuit current safety analysis under a future major operation running mode by combining a parallel computing scheduling strategy. And (3) taking the short-circuit faults of the equipment (bus or line) as a basic object for searching, analyzing the short-circuit current key information of each equipment after the short-circuit faults, and realizing display according to the sequence from small to large of the safety margin of the short-circuit current after the faults. Specifically, the safety checking system acquires a plurality of post-fault short-circuit current key information in the operating mode data after operation, reads rated on-off current values from each post-fault short-circuit current key information to obtain a plurality of rated on-off current values, and calculates by using each post-fault short-circuit current key information to obtain a post-fault short-circuit current value corresponding to each rated on-off current value. Then, the safety checking system acquires a safety margin calculation formula, and calculates a plurality of rated breaking current values and post-fault short-circuit current values corresponding to the rated breaking current values respectively by using the safety margin calculation formula to obtain a plurality of post-fault short-circuit current safety margins, wherein the safety margin calculation formula is the following formula 7:
Equation 7:
wherein,for the safety margin of short-circuit current after failure, +.>For the nominal breaking current value, < >>The current value is a short-circuit current value after the fault. And then, the safety checking system sorts the safety margins of the short-circuit currents after the faults according to the sequence from small to large, and a sorting result of the safety margins of the short-circuit currents after the faults is obtained. And then, the safety check system reads a plurality of target short-circuit current values, a plurality of target rated breaking current values and a plurality of target short-circuit current safety margins from the future D+1-day power grid operation mode data, and compares and analyzes the short-circuit current values after a plurality of faults, the plurality of rated breaking current values, the plurality of short-circuit current safety margins after the faults with the plurality of target short-circuit current values, the plurality of target rated breaking current values and the plurality of target short-circuit current safety margins to obtain a short-circuit current safety analysis result. Thus, the security check system depends onThe short circuit faults, the short circuit current safety margin, the short circuit current value, the rated breaking current and the like are compared according to the operation modes before and after the major operation, and the total short circuit current condition and the risk point of the power grid operation mode after the major operation can be counted through the safety margin, the out-of-limit fault number, the early warning fault number and the like.
And finally, the safety checking system takes the equipment power flow out-of-limit analysis result, the static safety analysis result, the transient stability analysis result and the short-circuit current safety analysis result as safety evaluation results. The safety check system realizes safety check after significant operation of D+1 days in the future based on a multi-mode parallel computing scheduling strategy, comprises safety margin analysis such as static safety, transient stability and short-circuit current, realizes safety check after operation, gives a safety evaluation result, and can early warn the running risk of the power grid.
206. If the safety evaluation result indicates that the risk check does not pass, combining the future D+1-day power grid operation mode data, adopting a graphical adjustment means to perform mode adjustment on a power grid tidal current diagram, and obtaining the operated future power grid operation mode data through tide calculation.
In the embodiment of the application, if the security assessment result indicates that risk check does not pass, the security check system combines the future d+1 day major operation information to perform operation mode adjustment and display the power flow calculation result on the power grid tidal current graph in a graphical interaction mode, and meanwhile, the graphical mode adjustment can be performed for many times for unsafe conditions after major operation. The graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment.
Firstly, the security check system graphically loads the power grid operation mode data of the future D+1 day to obtain the power grid operation data of the future moment. The method is characterized in that the future D+1-day power grid operation mode data are graphically loaded, the data range is a planned data section from the current system time to 24 points on the same day through a graphical interactive interface, meanwhile, the data are displayed in a sequence according to a time point of 15 minutes, and a worker can select the power grid operation data which need to be incorporated into the calculated future time through dragging.
And (3) for adjusting the mode of the electrical equipment, combining the future D+1 day major operation information, taking the electrical equipment as an operation object, taking a telemetry state value corresponding to the equipment in the future power grid operation mode stored in a real-time library as a pre-operation state, adopting reverse setting 'on' and 'off' operation, and realizing the adjustment operation on the mode of the equipment through a topology analysis technology. Specifically, the safety checking system acquires a telemetry state value in a real-time library, performs reverse put-on and reverse put-off operations on a power grid tidal current diagram based on the telemetry state value, future D+1 day major operation information and future time power grid operation data, acquires a topology analysis technology, determines an electrical equipment mode on the power grid tidal current diagram, and adjusts the electrical equipment mode by adopting the topology analysis technology. It should be noted that, for a circuit breaker, a disconnecting link, and the like, only the telemetry status of the current operation device needs to be updated. For equipment such as alternating current lines, transformers, buses and the like, the circuit breakers and the disconnecting links which are connected at one stage of the equipment are correspondingly changed according to the state after operation and in combination with the topological connection relation, so that the equipment mode adjustment operation is realized. And for the on/off operation of the generator equipment, starting from the operated generator, searching a first breaker connected with the generator in a topological connection relation, and automatically associating to perform a change operation, wherein during the operation process of the operation, a shortest path searching algorithm is adopted to search a nearest transformer associated with the first breaker, and a breaker and a knife switch set related to a communication path process are adopted to simultaneously operate the generator and the corresponding transformer, the breaker and the knife switch, wherein the minimum output threshold of the unit is set as the active output after the operation by default, and the rated voltage is set as the terminal voltage value of the generator by default.
For simulating trans-provincial transaction, combining the unsafe condition of the running mode of the power grid after the operation of the future D+1 day and the trans-provincial transaction condition, taking the transaction amount between two provinces as a reference, increasing the cross section of a tie line between the two provinces to rho as a final target for adjustment, and adopting the running data of the power grid at the future moment to perform trans-provincial transaction simulation operation on a power grid tidal current graph to obtain the adjusted trans-provincial cross section tide. Specifically, the safety checking system determines a power selling party province and a power buying party province on a power grid tidal current diagram, acquires a plurality of provinces and discontinuities between the power selling party province and the power buying party province, and determines a plurality of connecting lines of each province and discontinuity, wherein the default province connecting line trend direction flows from the power selling party to the power buying party. Then, the safety checking system reads the current power of each tie line from the power grid operation data at the future moment, calculates by using the current power of each tie line to obtain the inter-provincial tie section power of each provincial gap, and the calculation formula is as follows formula 8:
equation 8:
wherein,inter-province link power for the ith province inter-section, +.>The current power of the jth tie line for the ith province discontinuity. The safety check system determines target power grid equipment corresponding to the seller province on a power grid tidal current diagram, determines target plant stations associated with the target power grid equipment, determines target areas corresponding to the target plant stations, records target model association attribute relations of the target areas, and adds the target model association attribute relations into the seller province statistical information. And similarly, the safety checking system determines specified power grid equipment corresponding to the electricity buying side province on a power grid tidal current diagram, determines specified stations associated with the specified power grid equipment, determines specified areas corresponding to the specified stations, records specified model association attribute relations of the specified areas, and adds the specified model association attribute relations into the electricity buying side province statistical information. And then, the safety checking system calculates the active power output sum of the generators corresponding to the power-selling side province area and the active power sum of the generator loads corresponding to the power-buying side province area, acquires a preset adjustment percentage parameter, and calculates the active power output sum of the generators corresponding to the power-selling side province area and the active power sum of the generator loads corresponding to the power-buying side province area to acquire the sensitivity factor of each connecting line. Then, the safety check system determines the sender of the electricity seller on the power grid tidal current diagram The method comprises the steps of adjusting a generator set of a selling party and a generator set of a buying party based on sensitivity factors of each connecting line and preset adjustment percentage parameters. In this way, the adjustment process is simulated according to the adjustment strategies of the power selling party for adjusting and increasing the active output of the generator and the power buying party for adjusting and decreasing the output of the generator, and the load and other direct current power do not participate in adjustment. In the simulation operation process, taking a provincial area as a final operation adjustment object, summarizing the provincial area inclusion statistics according to the plant stations associated with the power grid equipment and the model association attribute relations of the areas corresponding to the plant stations, calculating the active output force sum and the load active sum of the generators corresponding to each provincial area, and setting adjustment percentage ++>Parameters (the adjustment proportion is set according to the default of 0-100%) and the sensitivity factor of the generator to the inter-provincial tie line is considered to realize the proportional adjustment of the generator. Then, the safety checking system acquires the section power of the preset connecting line, calculates by adopting the section power of the preset connecting line, the current power of each connecting line and the inter-provincial connecting section power of each inter-provincial section to obtain the adjusted power of each connecting line, and the calculation formula is as follows formula 9:
Equation 9:
wherein,adjusted power for the jth link of the ith province gap, +.>Inter-province link power for the ith province inter-section, +.>The current power of the jth interconnecting line which is the ith province gap, i is a positive integer, and j is a positive integer. The safety checking system uses the inter-provincial connection section power of each provincial section and the adjusted power of each connection line to countAnd calculating, namely obtaining the adjusted inter-provincial section power flow, obtaining the preset transaction amount, and if the adjusted inter-provincial section power flow is inconsistent with the preset transaction amount, repeating the inter-provincial transaction simulation operation until the adjusted inter-provincial section power flow is consistent with the preset transaction amount. Therefore, the safety checking system adjusts the unit power according to the sensitivity factors of the generator to each tie line, preferentially adjusts and increases the generator output with large sensitivity factors in an allowable range, iterates for a plurality of times according to the change condition of the tie line section power after load flow calculation, finally ensures that the inter-provincial section load flow after adjustment is consistent with the transaction amount, and obtains the unit output and load active distribution condition between two provinces under the condition of meeting the transaction amount.
And for direct current power adjustment, taking a direct current line as an adjustment object, and adjusting the power and the running state of the direct current line, wherein the upper limit of power adjustment is a maximum transmission power threshold. And the safety checking system determines a direct current circuit on the power grid tidal current diagram, and continuously records the direct current circuit to obtain a plurality of direct current powers. And then, the safety checking system calculates the direct current power variation by adopting a plurality of direct current powers, and adjusts the direct current circuit according to the direct current power variation. Because the extra-high voltage direct current transmission power is larger than that of a conventional generator, the balance control of the whole network active power and the load is considered in the direct current power adjustment process, and therefore, the safety checking system adjusts and increases/decreases the load of the area nearby the direct current in an equal amount according to the condition of the direct current power change quantity, and the convergence of the adjusted power flow of the power grid is ensured.
For generator output adjustment, a single generator is taken as an adjustment object, and the active output of the generator is adjusted. The adjustment process uses the maximum output force and the minimum output force of the generator as adjustment thresholds. Specifically, the safety verification system determines a plurality of generators on a grid tidal current map. For each generator, the safety checking system acquires active output key information and reactive output key information of the generator, calculates the active output key information and the reactive output key information, obtains power factors before adjustment, and adjusts the active output of the generator. And then the safety checking system acquires the regulated active output, calculates by adopting the regulated active output and the power factor to obtain the regulated reactive output, and regulates the output of the generator based on the regulated reactive output. Because the actual running process of the generator mainly relates to the key information of active output and reactive output, when the active output of the generator is adjusted, the power factor K of the generator set before adjustment is calculated according to the active output and the reactive output, and then the reactive output of the generator set after adjustment is calculated according to the adjusted active output and the power factor K, so that the output adjustment of the generator is realized.
For the batch adjustment operation of the regional power generation and adjustment, taking the region related in the current calculation range as an operation object, summarizing upwards according to the plant stations associated with the power grid equipment and the model association attribute relations of the regions corresponding to the plant stations, calculating the active power sum and the load active power sum of the generators corresponding to each region, and setting the adjustment percentageParameters (default adjustment proportion is set according to 0-100%) can automatically adjust the active power and load of the generators in the area in batches. Specifically, the safety checking system determines a partition corresponding to the power grid operation data at the future moment on a power grid tidal current diagram, determines partition power grid equipment corresponding to the partition, determines partition plant stations associated with the partition power grid equipment, determines an operation area corresponding to the partition plant stations, records partition model association attribute relations of the operation area, and adds the partition model association attribute relations into partition statistical information. And then, the safety checking system calculates the active power output sum and the active power load sum of the generators corresponding to the partitions, determines a plurality of engines corresponding to the partitions, adjusts the plurality of generators according to the adjustment percentage parameter, the active power output sum and the active power load sum of the generators, uniformly spreads and maintains the whole-network power generation and load balance according to the equal proportion of all the devices in the area in the adjustment process, and completes the adjustment of the power generation and the power generation of the partitions.
And finally, the safety checking system obtains the running mode data of the future power grid after operation through load flow calculation, and stores the section data of the mode before and after operation by taking a real-time library as a medium. Therefore, aiming at the condition that checking fails, multiple mode adjustment of future power grid operation mode data is realized through a graphical adjustment means, and the safety and stability margin of the power grid after operation is ensured to be abundant, so that the problem of uncertainty of the future power grid mode in the power grid dispatching field is solved, and the safety risk after important operation in the future power grid mode is effectively perceived.
207. And carrying out power flow comparison on the future D+1-day power grid operation mode data and the operated future power grid operation mode data to obtain a plurality of power flow change information, and displaying the plurality of power flow change information as a safety check result.
In the embodiment of the application, the safety check system uses the power grid equipment as an object to conduct the comparison of the power flow before and after the operation, and calculates the power flow transfer quantity of the equipment. Specifically, the safety checking system acquires power grid equipment model information in a real-time library, reads equipment power flow information before operation and running state information before operation from power grid running mode data of D+1 days in the future, and stores the equipment power flow information before operation and the running state information before operation into the real-time library. In this way, the real-time library is taken as a medium, and equipment tide information, running state information and the like before operation are stored in a warehouse by combining the established power grid equipment model information in the real-time library. And then, the safety checking system determines the running mode of the power grid before adjustment, extracts a plurality of target power grid equipment model tables corresponding to the running mode of the power grid before adjustment from the power grid equipment model information, and takes the plurality of target power grid equipment model tables as a running mode real-time library cache file of the running mode of the power grid before adjustment. And then, the safety checking system acquires an index list in the real-time library, acquires a target index recording mode corresponding to the running mode of the power grid before adjustment, and adds the running mode real-time library cache file of the running mode of the power grid before adjustment into the index list according to the target index recording mode. For example, the safety checking system stores all power grid equipment model tables in the running mode state of the power grid before adjustment as running mode real-time library cache files of mode 1, and establishes index records as mode 1-keyword-equipment tide information.
And the safety check system reads the equipment power flow information after operation and the running state information after operation from the future power grid running mode data after operation, and stores the equipment power flow information after operation and the running state information after operation into a real-time library. Thus, the equipment power flow information and the running state information after the power flow calculation can be updated and put in storage after the operation. And then, the safety checking system determines an adjusted power grid operation mode, extracts a plurality of appointed power grid equipment model tables corresponding to the adjusted power grid operation mode from the power grid equipment model information, and takes the appointed power grid equipment model tables as an operation mode real-time library cache file of the adjusted power grid operation mode. And then, the safety checking system acquires a designated index recording mode corresponding to the adjusted power grid operation mode, and adds the operation mode real-time library cache file of the adjusted power grid operation mode into the index list according to the designated index recording mode. For example, the safety checking system stores all the power grid equipment model tables as running mode real-time library cache files of the mode 2, and establishes index records as mode 2-key words-equipment tide information. It should be noted that, when there are multiple modifications, the stored index records are sequentially numbered, so as to facilitate subsequent search and comparison.
In this way, in the tide comparison operation process, two operation modes of cache files needing result comparison can be selected according to the listed index list, tide information comparison of line active power, transformer active power, section active power and the like is carried out, and tide variation is calculated. Specifically, the safety checking system acquires an operation mode real-time library cache file of the operation mode of the power grid before adjustment and an operation mode real-time library cache file of the operation mode of the power grid after adjustment from the index list, reads the equipment tide flow before operation from the operation mode real-time library cache file of the operation mode of the power grid before adjustment, and reads the equipment tide flow after operation from the operation mode real-time library cache file of the operation mode of the power grid after adjustment. The device tidal flow after operation comprises line active power after operation, transformer active power after operation and section power after operation, and the device tidal flow before operation comprises line active power before operation, transformer active power before operation and section power before operation. Then, the safety check system calculates by using the device tidal current before operation and the device tidal current after operation to obtain a plurality of tidal current variable amounts, wherein the calculation formula is as follows formula 10:
equation 10:
Wherein,for tidal current change information->For the post-operation device tidal flow,/->For the device tidal flow before operation, if the device is a line, then P represents the line active; if the device is a transformer, then P is the transformer active; if the equipment is a transmission section, P is section power. Thus, the direction of the device power flow change before and after the operation can be described by the sign of the power flow change ϵ. And then, the safety checking system acquires a preset trend change information display mode, sorts the plurality of trend change information according to the preset trend change information display mode to obtain a safety checking result, displays the safety checking result, for example, displays the safety checking result by taking equipment name-trend change amount-trend change description information as display, and describes the change amount of the bus by adopting voltage.
Before the safety check system compares the power flow of the future D+1-day power grid operation mode data with the power flow of the future power grid operation mode data after operation, safety check operations such as safety margin analysis and the like can be carried out based on the future power grid operation mode data after operation, if the result shows that risk check is not passed, the power grid operation mode can be flexibly adjusted by using a graphical operation means for multiple times, the continuous risk of scheduling operation in the future power grid operation mode is effectively estimated, and the safety margin of the power system after operation is ensured to be abundant.
In summary, the flowchart of the d+1 day graphical checking method based on the future ultra-short term data provided in the embodiment of the present application is as follows:
as shown in fig. 2B, based on the real-time power grid model data section, the day-ahead planning data is loaded and scheduled, and the corresponding day-ahead plan is replaced by the latest ultra-short-term prediction data rolling in the day, so that the data of the latest future d+1 day power grid operation mode is formed. And then, based on the running mode data of the future power grid, carrying out mode adjustment according to the future D+1 day critical operation information, and carrying out safety check after the future D+1 day critical operation by combining with a parallel calculation scheduling strategy. Aiming at the condition that checking fails, the operation mode is adjusted by the graphical operation means such as electric mode adjustment, trans-provincial transaction simulation, direct current power adjustment, unit output batch adjustment, load power batch adjustment and the like, so as to form the operation mode of the power grid after operation. Finally, the modes before and after operation can be subjected to tide comparison, safety margin analysis and the like before and after operation, and the running mode of the power grid can be flexibly adjusted by the graphical operation means, so that the safety margin of the power grid after operation is ensured to be abundant.
According to the method provided by the embodiment of the application, the daily front planning data is loaded, the daily ultra-short term prediction data is obtained, the daily ultra-short term prediction data is adopted to replace the scheduling daily front planning data of a corresponding period, the replaced scheduling daily front planning data is integrated with a reference section generated by calculating power grid real-time state data to obtain future D+1-day power grid operation mode data, future D+1-day major operation information is obtained, a graphical adjustment mode is adopted to conduct pre-operation simulation on the future D+1-day major operation information and the future D+1-day power grid operation mode data, operation mode data after operation is obtained, safety check operation is conducted on the operation mode data after operation to obtain a safety evaluation result, if the safety evaluation result indicates that risk check does not pass, the future D+1-day power grid operation mode data is combined, mode adjustment is conducted on a power grid tidal current flow graph through a graphical adjustment mode, the future D+1-day power grid operation mode data is obtained through power flow calculation, trend comparison is conducted on the future D+1-day power grid operation mode data and the future power grid operation mode data after operation is conducted, and a plurality of power flow change information is obtained, and the safety check result is displayed. The safety check operation comprises static safety evaluation, transient stability analysis and short-circuit current safety analysis, and the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment. The power grid forming mode of loading the latest ultra-short term data can accurately simulate and generate a future power grid running mode and carry out operation safety check, effectively sense risks, improve the friendliness of man-machine interaction through graphical operation and display, ensure sufficient power grid safety margin before and after operation, and improve the safety and stability of the power grid.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present application provides a d+1 day graphical checking device based on future ultra-short term data, as shown in fig. 3, where the device includes: the system comprises an integrating module 301, a checking module 302, an adjusting module 303 and a comparing module 304.
The integration module 301 is configured to load scheduling day-ahead planning data, obtain intra-day ultra-short term prediction data, replace the scheduling day-ahead planning data in a corresponding period with the intra-day ultra-short term prediction data, integrate the replaced scheduling day-ahead planning data with a reference section calculated and generated by using real-time state data of a power grid, and obtain future d+1-day power grid operation mode data;
the checking module 302 is configured to obtain future d+1 day significant operation information, perform pre-operation simulation on the future d+1 day significant operation information and the future d+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation, and perform security check operation on the operation mode data after operation to obtain a security assessment result, where the security check operation includes static security assessment, transient stability analysis, and short-circuit current security analysis;
The adjustment module 303 is configured to, if the security evaluation result indicates that the risk check does not pass, combine the future d+1 day power grid operation mode data, perform mode adjustment on a power grid tidal current graph by using a graphical adjustment means, and obtain the operated future power grid operation mode data through power flow calculation, where the graphical adjustment means includes electrical mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment;
the comparison module 304 is configured to compare the future d+1 day power grid operation mode data with the operated future power grid operation mode data to obtain a plurality of power flow change information, and display the plurality of power flow change information as a security check result.
In a specific application scenario, the integration module 301 is configured to obtain a plurality of planning data times from the planning data before the scheduling day, determine a planning data section corresponding to each of the planning data times, obtain a plurality of prediction data times from the ultra-short-term prediction data within the day, and determine a prediction data section corresponding to each of the prediction data times; for each predicted data time, determining a target planned data time matched with the predicted data time in the plurality of planned data times, and replacing a planned data section corresponding to the target planned data time by adopting a predicted data section corresponding to the predicted data time; replacing the scheduling day-ahead planning data by adopting the predicted data section corresponding to each predicted data time to obtain the replaced scheduling day-ahead planning data; integrating the replaced scheduling day-ahead planning data with a reference section generated by calculating real-time state data of a power grid to obtain future D+1-day power grid planning data, wherein the future D+1-day power grid planning data comprises a whole-grid generator plan, load prediction data, a device re-service plan, a contact line port plan and a direct current plan; and acquiring a device topology connection relation, and performing data inspection and error correction on the future D+1-day power grid planning data by adopting the device topology connection relation to obtain the future D+1-day power grid operation mode data.
In a specific application scenario, the integration module 301 is configured to obtain the whole-grid generator plan and the load prediction data from the future d+1 day grid plan data, obtain a preset plan value number, and count a device plan value number in the whole-grid generator plan and the load prediction data; if the number of the equipment planning values is smaller than the number of the preset planning values, the generator output and the load active power are read from the reference section, and the generator output and the load active power are used as equipment active power plans; if the future D+1-day power grid planning data comprises a total active plan of a plant, acquiring the total active plan of the plant from the future D+1-day power grid planning data, acquiring an active calculation formula, and calculating the total active plan of the plant by using the active calculation formula to obtain a plurality of plan active values; acquiring the tie line mouth sub-plan from the future D+1 day power grid plan data; if the tie line port sub-plan is provided by a reference section, determining a plurality of reference section tie lines corresponding to the reference section, obtaining the reference section active power of each reference section tie line, obtaining a plurality of reference section active power, reading the section plan total power in the tie line port sub-plan, and calculating by adopting the plurality of reference section active power and the section plan total power to obtain a plurality of plan data active power; determining a plurality of reference section generator sets and a plurality of reference section loads corresponding to the reference sections, acquiring the active power of each reference section generator set, the active power of each reference section load and the active power of each reference section connecting line, and calculating by using the active power of each reference section generator set, the active power of each reference section load and the active power of each reference section connecting line to obtain the network loss rate of the reference section system; acquiring a plurality of planning data section generator sets, a plurality of planning data section loads and a plurality of planning data section connecting lines from the future D+1-day power grid planning data, acquiring the active power of each planning data section generator set, the active power of each planning data section load and the active power of each planning data section connecting line, and calculating by utilizing the active power of each planning data section generator set, the active power of each planning data section load, the active power of each planning data section connecting line and the network loss rate of the reference section system to obtain the unbalanced power of the system; acquiring a threshold value, and when the unbalanced power of the system is smaller than the threshold value, acquiring load active power or unit output force, and adjusting the load active power or the unit output force; if the future D+1-day power grid planning data does not comprise unit reactive power, acquiring unit active output from the future D+1-day power grid planning data, acquiring a preset unit power factor default value, and calculating by using the unit active output and the preset unit power factor default value to acquire unit reactive output; the equipment active plan, the plurality of plan active values, the plurality of plan data active values, the adjusted load active or the adjusted unit output and the unit reactive output are adopted to adjust the future D+1 day power grid plan data, and the future D+1 day power grid operation mode data is obtained; and if the reactive output of the unit is larger than the reactive limit of the unit, replacing the reactive output of the unit by adopting the reactive limit of the unit.
In a specific application scenario, the checking module 302 is configured to obtain a total number of preset parallel schedulable modes, obtain a computing resource population, and group the computing resource population according to the total number of the preset parallel schedulable modes to obtain a plurality of mode groups; for each of the mode groups, the following is performed: acquiring a preset checking period, counting the total number of calculation tasks corresponding to the mode group in the checking period, decomposing the total number of calculation tasks to obtain a plurality of subtasks, acquiring a plurality of calculation nodes corresponding to the mode group, calculating the plurality of subtasks by adopting the plurality of calculation nodes to obtain a plurality of calculation results, detecting the plurality of calculation nodes, and ensuring that the calculation amounts of the plurality of subtasks are equal; if the plurality of computing nodes are detected to complete the computing operation on the plurality of subtasks, the plurality of computing results are used as final results; obtaining the final result of each mode group to obtain a plurality of final results; acquiring alternating current line information, transformer information and power transmission section information from the operating mode data after operation, reading actual injection current of an alternating current line and rated current of the alternating current line from the alternating current line information, reading actual power of a transformer, actual voltage of the transformer, rated power of the transformer and rated voltage of the transformer from the transformer information, and reading power transmission section operating power and power transmission section operating allowance from the power transmission section information; obtaining a power flow out-of-limit calculation formula set, and carrying out equipment power flow out-of-limit calculation on the actual injection current of the alternating current line and the rated current of the alternating current line by utilizing the power flow out-of-limit calculation formula set, wherein the actual power of the transformer, the actual voltage of the transformer, the rated power of the transformer and the rated voltage of the transformer, and the power transmission section operation power and the power transmission section operation limit are used for obtaining the load rate of the alternating current line, the load rate of the power transmission section and the load rate of the transformer; analyzing the alternating current line load rate, the power transmission section load rate and the transformer load rate to obtain an equipment power flow out-of-limit analysis result; acquiring static fault key information from the operating mode data after operation, wherein the static fault key information comprises a plurality of preset equipment load rates after faults and a plurality of preset equipment operation limit values after faults; sequencing the plurality of preset equipment load rates after faults according to the sequence from big to small to obtain a sequencing result of the equipment load rates after the faults, and carrying out statistical analysis on the plurality of preset equipment operation limit values after the faults to obtain out-of-limit fault numbers and early warning fault numbers; carrying out statistical analysis on the device load rate sequencing result after the faults, the out-of-limit fault number and the early warning fault number to obtain a static safety analysis result; acquiring transient fault simulated key information from the operating mode data after operation, extracting accelerator cluster information, decelerator cluster information, voltage weak bus information and frequency weak bus information from the transient fault simulated key information, and carrying out statistical analysis on the accelerator cluster information, the decelerator cluster information, the voltage weak bus information and the frequency weak bus information to obtain a transient stability analysis result; acquiring a plurality of post-fault short-circuit current key information from the operating mode data after operation, reading rated on-off current values from each of the post-fault short-circuit current key information to obtain a plurality of rated on-off current values, and calculating by using each of the post-fault short-circuit current key information to obtain a post-fault short-circuit current value corresponding to each of the rated on-off current values; a safety margin calculation formula is obtained, the safety margin calculation formula is utilized to calculate the rated breaking current values and the post-fault short-circuit current value corresponding to each rated breaking current value respectively, and a plurality of post-fault short-circuit current safety margins are obtained; sequencing the plurality of post-fault short-circuit current safety margins according to the sequence from small to large to obtain a sequencing result of the post-fault short-circuit current safety margins; reading a plurality of target short-circuit current values, a plurality of target rated open-circuit current values and a plurality of target short-circuit current safety margins from the future D+1-day power grid operation mode data, and comparing and analyzing the plurality of post-fault short-circuit current values, the plurality of rated open-circuit current values and the plurality of post-fault short-circuit current safety margins with the plurality of target short-circuit current values, the plurality of target rated open-circuit current values and the plurality of target short-circuit current safety margins to obtain a short-circuit current safety analysis result; and taking the equipment power flow out-of-limit analysis result, the static safety analysis result, the transient stability analysis result and the short-circuit current safety analysis result as the safety evaluation result.
In a specific application scenario, the adjustment module 303 is configured to graphically load the future d+1 day power grid operation mode data to obtain future time power grid operation data; acquiring a telemetry state value from a real-time library, adopting reverse put-in and reverse put-out operations on the power grid tidal current diagram based on the telemetry state value, the future D+1 daily significant operation information and the power grid operation data at the future moment, acquiring a topology analysis technology, determining an electrical equipment mode on the power grid tidal current diagram, and adopting the topology analysis technology to adjust the electrical equipment mode; performing cross-province transaction simulation operation on the power grid tidal current graph by adopting the power grid operation data at the future moment to obtain adjusted inter-province section tide; acquiring a preset transaction amount, and if the adjusted inter-provincial section power flow is inconsistent with the preset transaction amount, repeating the inter-provincial transaction simulation operation until the adjusted inter-provincial section power flow is consistent with the preset transaction amount; determining a direct current circuit on the power grid tidal current diagram, continuously recording the direct current circuit to obtain a plurality of direct current powers, calculating a direct current power variation by adopting the plurality of direct current powers, and adjusting the direct current circuit according to the direct current power variation; determining a plurality of generators on the power grid tidal current diagram, for each generator, acquiring active output key information and reactive output key information of the generator, calculating the active output key information and the reactive output key information to obtain power factors before adjustment, adjusting the active output of the generator, acquiring adjusted active output, calculating the adjusted active output and the power factors to obtain adjusted reactive output, and adjusting the generator output based on the adjusted reactive output; determining a partition corresponding to the power grid operation data at the future moment on the power grid tidal current diagram, determining partition power grid equipment corresponding to the partition, determining partition plant stations associated with the partition power grid equipment, determining an operation area corresponding to the partition plant stations, recording partition model association attribute relations of the operation area, and adding the partition model association attribute relations into partition statistical information; and calculating the generator active output sum and the generator load active sum corresponding to the subareas, determining a plurality of engines corresponding to the subareas, and adjusting the plurality of generators according to the adjustment percentage parameter, the generator active output sum and the generator load active sum.
In a specific application scenario, the adjusting module 303 is configured to determine a power selling party province area and a power buying party province area on the power grid tidal current diagram, obtain a plurality of provinces and discontinuities between the power selling party province area and the power buying party province area, and determine a plurality of connecting lines of each province and discontinuities; reading the current power of each tie line from the power grid operation data at the future moment, and calculating by using the current power of each tie line to obtain inter-province tie section power of each inter-province section; determining target power grid equipment corresponding to the power selling side province on the power grid tidal current graph, determining target plant stations associated with the target power grid equipment, determining target areas corresponding to the target plant stations, recording target model association attribute relations of the target areas, and adding the target model association attribute relations into the power selling side province statistical information; determining designated power grid equipment corresponding to the electricity buying party province on the power grid tidal current graph, determining designated plant stations associated with the designated power grid equipment, determining designated areas corresponding to the designated plant stations, recording designated model association attribute relations of the designated areas, and adding the designated model association attribute relations into electricity buying party province statistical information; calculating the active power output sum of the generators corresponding to the power selling party province area and the active power load sum of the generators corresponding to the power buying party province area; acquiring a preset adjustment percentage parameter, and calculating by adopting the sum of the active power output of the generators corresponding to the power selling side provinces and the sum of the active power load of the generators corresponding to the power buying side provinces to obtain a sensitivity factor of each connecting line; determining a generator set of the selling party and a generator set of the buying party on the power grid tidal current diagram, and adjusting the generator sets of the selling party and the buying party based on the sensitivity factor of each connecting line and the preset adjustment percentage parameter; acquiring preset cross section power of a connecting line, and calculating by adopting the preset cross section power of the connecting line, the current power of each connecting line and the inter-provincial cross section power of each inter-provincial cross section to acquire the adjusted power of each connecting line; and calculating by using the inter-provincial connection section power of each inter-provincial section and the adjusted power of each connection line to obtain the adjusted inter-provincial section power flow.
In a specific application scenario, as shown in fig. 3B, the apparatus further includes: and a storage module 305.
The storage module 305 is configured to obtain power grid equipment model information from a real-time library, read pre-operation equipment power flow information and pre-operation running state information from the future d+1 day power grid running mode data, and store the pre-operation equipment power flow information and the pre-operation running state information into the real-time library; determining a grid operation mode before adjustment, extracting a plurality of target grid equipment model tables corresponding to the grid operation mode before adjustment from the grid equipment model information, and taking the plurality of target grid equipment model tables as an operation mode real-time library cache file of the grid operation mode before adjustment; acquiring an index list from the real-time library, acquiring a target index recording mode corresponding to the operation mode of the power grid before adjustment, and adding an operation mode real-time library cache file of the operation mode of the power grid before adjustment into the index list according to the target index recording mode; reading post-operation equipment power flow information and post-operation running state information from the post-operation future power grid running mode data, and storing the post-operation equipment power flow information and the post-operation running state information into the real-time library; determining an adjusted power grid operation mode, extracting a plurality of designated power grid equipment model tables corresponding to the adjusted power grid operation mode from the power grid equipment model information, and taking the designated power grid equipment model tables as an operation mode real-time library cache file of the adjusted power grid operation mode; and acquiring a designated index recording mode corresponding to the adjusted power grid operation mode, and adding the operation mode real-time library cache file of the adjusted power grid operation mode into the index list according to the designated index recording mode.
In a specific application scenario, the comparison module 304 is configured to obtain an operation mode real-time library cache file of an operation mode of a power grid before adjustment and an operation mode real-time library cache file of an operation mode of a power grid after adjustment in an index list, read a device tide flow before operation in the operation mode real-time library cache file of the operation mode of the power grid before adjustment, and read a device tide flow after operation in the operation mode real-time library cache file of the power grid after adjustment, where the device tide flow after operation includes a line active after operation, a transformer active after operation, and a section power after operation, and the device tide flow before operation includes a line active before operation, a transformer active before operation, and a section power before operation; calculating by using the equipment tidal flow before operation and the equipment tidal flow after operation to obtain a plurality of tidal flow variation; acquiring a preset trend change information display mode, sorting the plurality of trend change information according to the preset trend change information display mode to obtain the safety check result, and displaying the safety check result.
The device provided by the embodiment of the application loads scheduling day-ahead planning data, acquires intra-day ultra-short term prediction data, substitutes scheduling day-ahead planning data of a corresponding period by the intra-day ultra-short term prediction data, integrates the substituted scheduling day-ahead planning data with a reference section generated by calculating power grid real-time state data to obtain future D+1-day power grid operation mode data, acquires future D+1-day major operation information, performs pre-operation simulation on the future D+1-day major operation information and the future D+1-day power grid operation mode data by adopting a graphical adjustment mode, acquires operational operation mode data, performs safety check operation on the operational mode data, acquires a safety evaluation result, if the safety evaluation result indicates that risk check does not pass, combines the future D+1-day power grid operation mode data, performs mode adjustment on a power grid tidal current flow diagram by adopting a graphical adjustment mode, obtains the operational future power grid operation mode data after operation by means, performs tide comparison on the future D+1-day power grid operation mode data and the operational future power grid operation mode data after operation, and takes a plurality of check change information as a safety check result. The safety check operation comprises static safety evaluation, transient stability analysis and short-circuit current safety analysis, and the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment. The power grid forming mode of loading the latest ultra-short term data can accurately simulate and generate a future power grid running mode and carry out operation safety check, effectively sense risks, improve the friendliness of man-machine interaction through graphical operation and display, ensure sufficient power grid safety margin before and after operation, and improve the safety and stability of the power grid.
It should be noted that, other corresponding descriptions of each functional unit related to the d+1 day graphical checking device based on the future ultra-short term data provided in the embodiment of the present application may refer to corresponding descriptions in fig. 1 and fig. 2A to fig. 2B, and are not described herein again.
In an exemplary embodiment, referring to fig. 4, there is further provided a device, which includes a bus, a processor, a memory, and a communication interface, and may further include an input-output interface and a display device, where each functional unit may perform communication with each other through the bus. The memory stores a computer program and a processor for executing the program stored in the memory, and executing the d+1 day graphical checking method based on the future ultra-short term data in the above embodiment.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present application may be implemented in hardware, or may be implemented by means of software plus necessary general hardware platforms. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.), and includes several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to perform the methods described in various implementation scenarios of the present application.
Those skilled in the art will appreciate that the drawings are merely schematic illustrations of one preferred implementation scenario, and that the modules or flows in the drawings are not necessarily required to practice the present application.
Those skilled in the art will appreciate that modules in an apparatus in an implementation scenario may be distributed in an apparatus in an implementation scenario according to an implementation scenario description, or that corresponding changes may be located in one or more apparatuses different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The foregoing application serial numbers are merely for description, and do not represent advantages or disadvantages of the implementation scenario.
The foregoing disclosure is merely a few specific implementations of the present application, but the present application is not limited thereto and any variations that can be considered by a person skilled in the art shall fall within the protection scope of the present application.
Claims (10)
1. A D+1 day graphical checking method based on future ultra-short term data is characterized by comprising the following steps:
loading scheduling day-ahead planning data, acquiring intra-day ultra-short-term prediction data, replacing the scheduling day-ahead planning data of a corresponding period by the intra-day ultra-short-term prediction data, and integrating the replaced scheduling day-ahead planning data with a reference section generated by calculating power grid real-time state data to acquire future D+1-day power grid operation mode data;
Acquiring future D+1 day critical operation information, performing pre-operation simulation on the future D+1 day critical operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation, and performing safety check operation on the operation mode data after operation to obtain a safety assessment result, wherein the safety check operation comprises static safety assessment, transient stability analysis and short-circuit current safety analysis;
if the safety evaluation result indicates that risk check does not pass, combining the future D+1-day power grid operation mode data, adopting a graphical adjustment means to perform mode adjustment on a power grid tidal current diagram, and obtaining the operated future power grid operation mode data through power flow calculation, wherein the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment;
and carrying out power flow comparison on the future D+1-day power grid operation mode data and the operated future power grid operation mode data to obtain a plurality of power flow change information, and displaying the plurality of power flow change information as a safety check result.
2. The method according to claim 1, wherein the replacing the scheduled day-ahead plan data of the corresponding period with the intra-day ultra-short term prediction data, integrating the replaced scheduled day-ahead plan data with a reference section generated by calculating using grid real-time state data, and obtaining future d+1 day grid operation mode data, includes:
acquiring a plurality of planning data time in the planning data before the scheduling day, determining a planning data section corresponding to each planning data time, acquiring a plurality of prediction data time in the ultra-short-term prediction data in the day, and determining a prediction data section corresponding to each prediction data time;
for each predicted data time, determining a target planned data time matched with the predicted data time in the plurality of planned data times, and replacing a planned data section corresponding to the target planned data time by adopting a predicted data section corresponding to the predicted data time;
replacing the scheduling day-ahead planning data by adopting the predicted data section corresponding to each predicted data time to obtain the replaced scheduling day-ahead planning data;
Integrating the replaced scheduling day-ahead planning data with a reference section generated by calculating real-time state data of a power grid to obtain future D+1-day power grid planning data, wherein the future D+1-day power grid planning data comprises a whole-grid generator plan, load prediction data, a device re-service plan, a contact line port plan and a direct current plan;
and acquiring a device topology connection relation, and performing data inspection and error correction on the future D+1-day power grid planning data by adopting the device topology connection relation to obtain the future D+1-day power grid operation mode data.
3. The method according to claim 2, wherein the step of performing data inspection and correction on the future d+1 day power grid plan data by using the device topology connection relationship to obtain the future d+1 day power grid operation mode data includes:
acquiring the whole-network generator plan and the load prediction data from the future D+1-day power grid plan data, acquiring the preset plan value quantity, and counting the equipment plan value quantity in the whole-network generator plan and the load prediction data;
if the number of the equipment planning values is smaller than the number of the preset planning values, the generator output and the load active power are read from the reference section, and the generator output and the load active power are used as equipment active power plans;
If the future D+1-day power grid planning data comprises a total active plan of a plant, acquiring the total active plan of the plant from the future D+1-day power grid planning data, acquiring an active calculation formula, and calculating the total active plan of the plant by using the active calculation formula to obtain a plurality of plan active values;
acquiring the tie line mouth sub-plan from the future D+1 day power grid plan data;
if the tie line port sub-plan is provided by a reference section, determining a plurality of reference section tie lines corresponding to the reference section, obtaining the reference section active power of each reference section tie line, obtaining a plurality of reference section active power, reading the section plan total power in the tie line port sub-plan, and calculating by adopting the plurality of reference section active power and the section plan total power to obtain a plurality of plan data active power;
determining a plurality of reference section generator sets and a plurality of reference section loads corresponding to the reference sections, acquiring the active power of each reference section generator set, the active power of each reference section load and the active power of each reference section connecting line, and calculating by using the active power of each reference section generator set, the active power of each reference section load and the active power of each reference section connecting line to obtain the network loss rate of the reference section system;
Acquiring a plurality of planning data section generator sets, a plurality of planning data section loads and a plurality of planning data section connecting lines from the future D+1-day power grid planning data, acquiring the active power of each planning data section generator set, the active power of each planning data section load and the active power of each planning data section connecting line, and calculating by utilizing the active power of each planning data section generator set, the active power of each planning data section load, the active power of each planning data section connecting line and the network loss rate of the reference section system to obtain the unbalanced power of the system;
acquiring a threshold value, and when the unbalanced power of the system is smaller than the threshold value, acquiring load active power or unit output force, and adjusting the load active power or the unit output force;
if the future D+1-day power grid planning data does not comprise unit reactive power, acquiring unit active output from the future D+1-day power grid planning data, acquiring a preset unit power factor default value, and calculating by using the unit active output and the preset unit power factor default value to acquire unit reactive output;
The equipment active plan, the plurality of plan active values, the plurality of plan data active values, the adjusted load active or the adjusted unit output and the unit reactive output are adopted to adjust the future D+1 day power grid plan data, and the future D+1 day power grid operation mode data is obtained;
and if the reactive output of the unit is larger than the reactive limit of the unit, replacing the reactive output of the unit by adopting the reactive limit of the unit.
4. The method of claim 1, wherein performing the security check operation on the operational mode data after the operation to obtain a security evaluation result includes:
acquiring the total number of preset parallel scheduling modes, acquiring the total number of computing resources, and grouping the total number of the computing resources according to the total number of the preset parallel scheduling modes to obtain a plurality of mode groups;
for each of the mode groups, the following is performed: acquiring a preset checking period, counting the total number of calculation tasks corresponding to the mode group in the checking period, decomposing the total number of calculation tasks to obtain a plurality of subtasks, acquiring a plurality of calculation nodes corresponding to the mode group, calculating the plurality of subtasks by adopting the plurality of calculation nodes to obtain a plurality of calculation results, detecting the plurality of calculation nodes, and ensuring that the calculation amounts of the plurality of subtasks are equal;
If the plurality of computing nodes are detected to complete the computing operation on the plurality of subtasks, the plurality of computing results are used as final results;
obtaining the final result of each mode group to obtain a plurality of final results;
acquiring alternating current line information, transformer information and power transmission section information from the operating mode data after operation, reading actual injection current of an alternating current line and rated current of the alternating current line from the alternating current line information, reading actual power of a transformer, actual voltage of the transformer, rated power of the transformer and rated voltage of the transformer from the transformer information, and reading power transmission section operating power and power transmission section operating allowance from the power transmission section information;
obtaining a power flow out-of-limit calculation formula set, and carrying out equipment power flow out-of-limit calculation on the actual injection current of the alternating current line and the rated current of the alternating current line by utilizing the power flow out-of-limit calculation formula set, wherein the actual power of the transformer, the actual voltage of the transformer, the rated power of the transformer and the rated voltage of the transformer, and the power transmission section operation power and the power transmission section operation limit are used for obtaining the load rate of the alternating current line, the load rate of the power transmission section and the load rate of the transformer;
Analyzing the alternating current line load rate, the power transmission section load rate and the transformer load rate to obtain an equipment power flow out-of-limit analysis result;
acquiring static fault key information from the operating mode data after operation, wherein the static fault key information comprises a plurality of preset equipment load rates after faults and a plurality of preset equipment operation limit values after faults;
sequencing the plurality of preset equipment load rates after faults according to the sequence from big to small to obtain a sequencing result of the equipment load rates after the faults, and carrying out statistical analysis on the plurality of preset equipment operation limit values after the faults to obtain out-of-limit fault numbers and early warning fault numbers;
carrying out statistical analysis on the device load rate sequencing result after the faults, the out-of-limit fault number and the early warning fault number to obtain a static safety analysis result;
acquiring transient fault simulated key information from the operating mode data after operation, extracting accelerator cluster information, decelerator cluster information, voltage weak bus information and frequency weak bus information from the transient fault simulated key information, and carrying out statistical analysis on the accelerator cluster information, the decelerator cluster information, the voltage weak bus information and the frequency weak bus information to obtain a transient stability analysis result;
Acquiring a plurality of post-fault short-circuit current key information from the operating mode data after operation, reading rated on-off current values from each of the post-fault short-circuit current key information to obtain a plurality of rated on-off current values, and calculating by using each of the post-fault short-circuit current key information to obtain a post-fault short-circuit current value corresponding to each of the rated on-off current values;
a safety margin calculation formula is obtained, the safety margin calculation formula is utilized to calculate the rated breaking current values and the post-fault short-circuit current value corresponding to each rated breaking current value respectively, and a plurality of post-fault short-circuit current safety margins are obtained;
sequencing the plurality of post-fault short-circuit current safety margins according to the sequence from small to large to obtain a sequencing result of the post-fault short-circuit current safety margins;
reading a plurality of target short-circuit current values, a plurality of target rated open-circuit current values and a plurality of target short-circuit current safety margins from the future D+1-day power grid operation mode data, and comparing and analyzing the plurality of post-fault short-circuit current values, the plurality of rated open-circuit current values and the plurality of post-fault short-circuit current safety margins with the plurality of target short-circuit current values, the plurality of target rated open-circuit current values and the plurality of target short-circuit current safety margins to obtain a short-circuit current safety analysis result;
And taking the equipment power flow out-of-limit analysis result, the static safety analysis result, the transient stability analysis result and the short-circuit current safety analysis result as the safety evaluation result.
5. The method of claim 1, wherein the performing the mode adjustment on the grid tidal current map using the graphical adjustment means comprises:
carrying out graphical loading operation on the future D+1-day power grid operation mode data to obtain future time power grid operation data;
acquiring a telemetry state value from a real-time library, adopting reverse put-in and reverse put-out operations on the power grid tidal current diagram based on the telemetry state value, the future D+1 daily significant operation information and the power grid operation data at the future moment, acquiring a topology analysis technology, determining an electrical equipment mode on the power grid tidal current diagram, and adopting the topology analysis technology to adjust the electrical equipment mode;
performing cross-province transaction simulation operation on the power grid tidal current graph by adopting the power grid operation data at the future moment to obtain adjusted inter-province section tide;
acquiring a preset transaction amount, and if the adjusted inter-provincial section power flow is inconsistent with the preset transaction amount, repeating the inter-provincial transaction simulation operation until the adjusted inter-provincial section power flow is consistent with the preset transaction amount;
Determining a direct current circuit on the power grid tidal current diagram, continuously recording the direct current circuit to obtain a plurality of direct current powers, calculating a direct current power variation by adopting the plurality of direct current powers, and adjusting the direct current circuit according to the direct current power variation;
determining a plurality of generators on the power grid tidal current diagram, for each generator, acquiring active output key information and reactive output key information of the generator, calculating the active output key information and the reactive output key information to obtain power factors before adjustment, adjusting the active output of the generator, acquiring adjusted active output, calculating the adjusted active output and the power factors to obtain adjusted reactive output, and adjusting the generator output based on the adjusted reactive output;
determining a partition corresponding to the power grid operation data at the future moment on the power grid tidal current diagram, determining partition power grid equipment corresponding to the partition, determining partition plant stations associated with the partition power grid equipment, determining an operation area corresponding to the partition plant stations, recording partition model association attribute relations of the operation area, and adding the partition model association attribute relations into partition statistical information;
And calculating the generator active output sum and the generator load active sum corresponding to the subareas, determining a plurality of engines corresponding to the subareas, and adjusting the plurality of generators according to the adjustment percentage parameter, the generator active output sum and the generator load active sum.
6. The method of claim 5, wherein performing a trans-provincial transaction simulation operation on the grid tidal current graph using the future time grid operation data to obtain an adjusted provincial cross-sectional power flow, comprising:
determining an electricity selling side province area and an electricity buying side province area on the power grid tidal current diagram, acquiring a plurality of provinces and discontinuities between the electricity selling side province area and the electricity buying side province area, and determining a plurality of connecting lines of each province and discontinuity area;
reading the current power of each tie line from the power grid operation data at the future moment, and calculating by using the current power of each tie line to obtain inter-province tie section power of each inter-province section;
determining target power grid equipment corresponding to the power selling side province on the power grid tidal current graph, determining target plant stations associated with the target power grid equipment, determining target areas corresponding to the target plant stations, recording target model association attribute relations of the target areas, and adding the target model association attribute relations into the power selling side province statistical information;
Determining designated power grid equipment corresponding to the electricity buying party province on the power grid tidal current graph, determining designated plant stations associated with the designated power grid equipment, determining designated areas corresponding to the designated plant stations, recording designated model association attribute relations of the designated areas, and adding the designated model association attribute relations into electricity buying party province statistical information;
calculating the active power output sum of the generators corresponding to the power selling party province area and the active power load sum of the generators corresponding to the power buying party province area;
acquiring a preset adjustment percentage parameter, and calculating by adopting the sum of the active power output of the generators corresponding to the power selling side provinces and the sum of the active power load of the generators corresponding to the power buying side provinces to obtain a sensitivity factor of each connecting line;
determining a generator set of the selling party and a generator set of the buying party on the power grid tidal current diagram, and adjusting the generator sets of the selling party and the buying party based on the sensitivity factor of each connecting line and the preset adjustment percentage parameter;
acquiring preset cross section power of a connecting line, and calculating by adopting the preset cross section power of the connecting line, the current power of each connecting line and the inter-provincial cross section power of each inter-provincial cross section to acquire the adjusted power of each connecting line;
And calculating by using the inter-provincial connection section power of each inter-provincial section and the adjusted power of each connection line to obtain the adjusted inter-provincial section power flow.
7. The method of claim 1, wherein prior to comparing the future d+1 day grid operation mode data with the operational future grid operation mode data, the method further comprises:
acquiring power grid equipment model information in a real-time library, reading equipment power flow information before operation and running state information before operation from the future D+1 day power grid running mode data, and storing the equipment power flow information before operation and the running state information before operation into the real-time library;
determining a grid operation mode before adjustment, extracting a plurality of target grid equipment model tables corresponding to the grid operation mode before adjustment from the grid equipment model information, and taking the plurality of target grid equipment model tables as an operation mode real-time library cache file of the grid operation mode before adjustment;
acquiring an index list from the real-time library, acquiring a target index recording mode corresponding to the operation mode of the power grid before adjustment, and adding an operation mode real-time library cache file of the operation mode of the power grid before adjustment into the index list according to the target index recording mode;
Reading post-operation equipment power flow information and post-operation running state information from the post-operation future power grid running mode data, and storing the post-operation equipment power flow information and the post-operation running state information into the real-time library;
determining an adjusted power grid operation mode, extracting a plurality of designated power grid equipment model tables corresponding to the adjusted power grid operation mode from the power grid equipment model information, and taking the designated power grid equipment model tables as an operation mode real-time library cache file of the adjusted power grid operation mode;
and acquiring a designated index recording mode corresponding to the adjusted power grid operation mode, and adding the operation mode real-time library cache file of the adjusted power grid operation mode into the index list according to the designated index recording mode.
8. The method according to claim 1, wherein comparing the future d+1 day power grid operation mode data with the operated future power grid operation mode data, and displaying the plurality of power flow change information as a safety check result, comprises:
acquiring an operation mode real-time library cache file of an operation mode of a power grid before adjustment and an operation mode real-time library cache file of an operation mode of a power grid after adjustment from an index list, reading equipment tidal current before operation from the operation mode real-time library cache file of the operation mode of the power grid before adjustment, and reading equipment tidal current after operation from the operation mode real-time library cache file of the operation mode of the power grid after adjustment, wherein the equipment tidal current after operation comprises line active after operation, transformer active after operation and section power after operation, and the equipment tidal current before operation comprises line active before operation, transformer active before operation and section power before operation;
Calculating by using the equipment tidal flow before operation and the equipment tidal flow after operation to obtain a plurality of tidal flow variation;
acquiring a preset trend change information display mode, sorting the plurality of trend change information according to the preset trend change information display mode to obtain the safety check result, and displaying the safety check result.
9. The D+1 day graphical checking device based on the future ultra-short term data is characterized by comprising:
the integration module is used for loading scheduling day-ahead planning data, acquiring intra-day ultra-short-term prediction data, replacing the scheduling day-ahead planning data in a corresponding period by the intra-day ultra-short-term prediction data, integrating the replaced scheduling day-ahead planning data with a reference section calculated and generated by utilizing the real-time state data of the power grid, and acquiring future D+1-day power grid operation mode data;
the checking module is used for acquiring future D+1 day significant operation information, performing pre-operation simulation on the future D+1 day significant operation information and the future D+1 day power grid operation mode data by adopting a graphical adjustment mode to obtain operation mode data after operation, and performing safety checking operation on the operation mode data after operation to obtain a safety evaluation result, wherein the safety checking operation comprises static safety evaluation, transient stability analysis and short-circuit current safety analysis;
The adjustment module is used for carrying out mode adjustment on a power grid tidal current diagram by adopting a graphical adjustment means if the security evaluation result indicates that the risk check does not pass, and obtaining the operated future power grid operation mode data by means of power flow calculation, wherein the graphical adjustment means comprises electric mode adjustment, simulated trans-provincial transaction, unit output batch adjustment, direct current power adjustment, partition output or load adjustment;
the comparison module is used for carrying out power flow comparison on the future D+1-day power grid operation mode data and the operated future power grid operation mode data to obtain a plurality of power flow change information, and displaying the plurality of power flow change information as a safety check result.
10. An apparatus comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.
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