CN113452017A - Method, system, equipment and storage medium for analyzing available spare capacity of unit - Google Patents
Method, system, equipment and storage medium for analyzing available spare capacity of unit Download PDFInfo
- Publication number
- CN113452017A CN113452017A CN202110704604.4A CN202110704604A CN113452017A CN 113452017 A CN113452017 A CN 113452017A CN 202110704604 A CN202110704604 A CN 202110704604A CN 113452017 A CN113452017 A CN 113452017A
- Authority
- CN
- China
- Prior art keywords
- unit
- power grid
- detected
- power
- capacity
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- 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
-
- 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
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
-
- 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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method, a system, equipment and a storage medium for analyzing the effective reserve capacity of a unit, and relates to the technical field of power systems. The method comprises the following steps: acquiring a power grid model and measurement data; identifying a key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set; generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set; obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, contracts participating in the power market and power grid planning information; generating a plurality of operation modes according to the output characteristic model; calculating an effective standby capacity set of the unit to be detected in all operation modes; and evaluating the effective spare capacity set to obtain the effective spare capacity capable of representing all the operation modes. According to the method, the condition of the grid frame risk of the power grid is considered, and more accurate effective reserve capacity of the unit can be obtained.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a method, a system, equipment and a storage medium for analyzing the effective reserve capacity of a unit.
Background
In recent years, with the rapid development of electric power systems in China, installed capacity is continuously increased, and under the condition that the investment of power grid transmission capacity cannot keep up with the investment of installed capacity, the arrangement of operation modes of a unit is limited. Meanwhile, the social requirements on the power system are gradually increased, and after the unit is limited to participate in power production, the aim of maximizing the social welfare of the power market is also limited, so that the power grid runs under the working condition of insufficient economy and wastes resources of the whole society.
Due to the diversity of the characteristics of the units and the difference of the modes, positions and time periods of accessing the power grid, when the output of the units is arranged, not only the characteristics of the units but also the problems in various aspects such as power grid safety, power grid blockage and the like are considered, and in the existing technology, the characteristics of a power supply and the power grid are not fully considered, and a calculation method capable of accurately calculating the effective standby capacity of the units is used for guiding production.
Disclosure of Invention
The invention aims to provide a method, a system, equipment and a storage medium for analyzing the effective reserve capacity of a unit by considering the condition of grid frame risk of a power grid.
In order to achieve the above object, an embodiment of the present invention provides a method for analyzing an available spare capacity of a unit, including: acquiring a power grid model and measurement data; identifying a key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set; generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set; obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, contracts participating in the power market and the planning information of the power grid network frame; generating a plurality of operation modes according to the output characteristic model; calculating an effective standby capacity set of the unit to be detected in all the operation modes; and evaluating the set of effective spare capacities to obtain the effective spare capacities which can represent all the operation modes.
Preferably, the identifying the key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set includes: carrying out topology analysis on the power grid model and the measured data to obtain a node branch simplified model; taking a node of the unit to be detected as a starting point, carrying out breadth-first algorithm search, and obtaining an alternative branch set; the alternative branches in the alternative branch set are cut off successively to obtain the change rate of the branch flow; and taking the branch set with the change rate falling into a preset range as a key power transmission section.
Preferably, the obtaining of the output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, the contract participating in the power market, and the power grid network planning information includes: carrying out load flow calculation on the basis of the power grid network frame planning information, and carrying out distribution electric balance adjustment on the non-convergent load flow to obtain convergent planning information; and obtaining target output of the unit to be detected at different stages as an output characteristic model based on the converged planning information, the characteristics of the unit to be detected and the contract participating in the electric power market.
Preferably, the generating a plurality of operation modes according to the output characteristic model includes: and adjusting the output of the unit to be detected according to the output characteristic model until the power flow calculation is converged to obtain a converged operation mode.
The embodiment of the invention also provides a system for analyzing the effective reserve capacity of the unit, which comprises the following components: the information acquisition module is used for acquiring a power grid model and measurement data; the information analysis module is used for identifying the key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set; the information planning module is used for generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set; the output prediction module is used for obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, the contract participating in the electric power market and the planning information of the power grid network frame; the output detection module is used for generating a plurality of operation modes according to the output characteristic model; the operation detection module is used for calculating an effective standby capacity set of the unit to be detected in all the operation modes; and the capacity evaluation module is used for evaluating the effective spare capacity set to obtain the effective spare capacity capable of representing all the operation modes.
Preferably, the information analysis module includes: the topology analysis unit is used for carrying out topology analysis on the power grid model and the measured data to obtain a node branch simplified model; the algorithm searching unit is used for carrying out breadth-first algorithm searching by taking the node of the unit to be detected as a starting point to obtain an alternative branch set; the load flow calculation unit is used for carrying out successive cut-off on the alternative branches in the alternative branch set to obtain the change rate of the branch load flow; and the power flow analysis unit is used for taking the branch set with the change rate falling in a preset range as a key power transmission section.
Preferably, the contribution predicting module includes: the balance adjustment unit is used for carrying out load flow calculation on the basis of the power grid network frame planning information and carrying out distribution electric balance adjustment on the non-convergent load flow to obtain convergent planning information; and the output analysis unit is used for obtaining target outputs of the unit to be detected at different stages as output characteristic models based on the converged planning information, the characteristics of the unit to be detected and the contracts participating in the power market.
Preferably, the output detection module includes: and the output adjusting unit is used for adjusting the output of the unit to be detected according to the output characteristic model until the power flow calculation is converged to obtain a converged operation mode.
The embodiment of the invention also provides computer terminal equipment which comprises one or more processors and a memory. A memory coupled to the processor for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors are enabled to implement the crew available spare capacity analysis method according to any of the embodiments described above.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for analyzing the unit available spare capacity according to any of the above embodiments.
Compared with the prior art, the invention has the following beneficial effects:
the invention aims to provide a method, a system, equipment and a storage medium for analyzing the effective reserve capacity of a unit by considering the condition of grid frame risk of a power grid.
The invention discloses a method for analyzing the effective reserve capacity of a unit, which comprises the following steps: acquiring a power grid model and measurement data; identifying a key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set; generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set; obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, contracts participating in the power market and the planning information of the power grid network frame; generating a plurality of operation modes according to the output characteristic model; calculating an effective standby capacity set of the unit to be detected in all the operation modes; and evaluating the set of effective spare capacities to obtain the effective spare capacities which can represent all the operation modes. According to the method, the condition of the grid frame risk of the power grid is considered, and more accurate effective reserve capacity of the unit can be obtained.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for analyzing an effective reserve capacity of a unit according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a system for analyzing the available reserve capacity of a unit according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer terminal device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not used as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for analyzing an effective spare capacity of a unit according to an embodiment of the present invention. In this embodiment, the method for analyzing the available reserve capacity of the unit includes the following steps:
s110, acquiring a power grid model and measurement data;
s120, identifying a key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set;
s130, generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set;
s140, obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, contracts participating in the power market and the planning information of the power grid network frame;
s150, generating a plurality of operation modes according to the output characteristic model;
s160, calculating an effective standby capacity set of the unit to be detected in all the operation modes;
and S170, evaluating the effective spare capacity set to obtain the effective spare capacity capable of representing all the operation modes.
In an embodiment of the present invention, step S120 specifically includes:
carrying out topology analysis on the power grid model and the measured data to obtain a node branch simplified model;
taking a node of the unit to be detected as a starting point, carrying out breadth-first algorithm search, and obtaining an alternative branch set;
the alternative branches in the alternative branch set are cut off successively to obtain the change rate of the branch flow;
and taking the branch set with the change rate falling into a preset range as a key power transmission section.
In an embodiment of the present invention, step S140 specifically includes:
carrying out load flow calculation on the basis of the power grid network frame planning information, and carrying out distribution electric balance adjustment on the non-convergent load flow to obtain convergent planning information;
and obtaining target output of the unit to be detected at different stages as an output characteristic model based on the converged planning information, the characteristics of the unit to be detected and the contract participating in the electric power market.
In an embodiment of the present invention, step S150 specifically includes: and adjusting the output of the unit to be detected according to the output characteristic model until the power flow calculation is converged to obtain a converged operation mode.
In a specific embodiment, the method for analyzing the available reserve capacity of the unit comprises the following steps:
(1) measuring And obtaining a power grid model, namely obtaining the power grid model And measuring from a real-time online SCADA (supervisory Control And Data acquisition) system, namely a Data acquisition And monitoring Control system or a regulation cloud; or the offline process analysis (BPA) system acquires an operation mode, takes the power grid network frame in the operation mode as a model, and takes the operation state in the operation mode as measurement, that is, there are two ways to acquire the power grid model: approach a, obtaining from a real-time SCADA system or a regulatory cloud: and if the real-time SCADA system is obtained, the internal memory of the SCADA system contains the power grid model and the measured data, and the internal memory is read in a real-time memory access interface mode provided by the SCADA system. If the data are read from the regulation cloud, the model service of the regulation cloud is called or the regulation cloud commercial library is accessed to obtain the model, the measurement data can also be accessed to the measurement service or historical data collected to the commercial library, and the previous 5-minute data are selected as quasi-real-time data. And B, obtaining the data from the offline BPA system, exposing the data file by the offline BPA system in a special format, analyzing the data in a specified format to finish obtaining the model in the BPA data and the data of the load and the unit output, then performing load flow calculation, analyzing the load flow on each branch and the voltage on the bus from a load flow calculation result file, and converting the load flow and the voltage into measurement reading.
(2) Performing topology analysis and identifying a key power transmission section of a specific unit based on the acquired power grid model measurement, namely, after acquiring the model and the measurement of the power grid in the step (1), performing topology analysis, converting the power grid model into a node-branch simplified model, searching related branches by taking the concerned unit as a starting point and using a breadth-first searching method, listing the related branches as alternatives, then performing sensitivity analysis, forming sections by branch equipment with high relevance, and finally calculating the output increase and decrease sensitivity of the unit to section tide to sort the sensitivity from high to low to obtain the key power transmission section, wherein the specific flow of the step (2) is as follows: (2.1) carrying out topology analysis on the power grid model and the measurement obtained in the step (1), and merging two nodes and discarding the cut-off equipment if one side of the cut-off equipment is a bus or a unit node and the other side of the cut-off equipment is also the bus or the unit node; if one side of the cut-off equipment is a bus or a unit node, and the other side of the cut-off equipment is branch equipment such as a circuit and a main transformer winding, the branch is directly connected to the node, and the cut-off equipment is discarded; if the branch equipment such as a line and a main transformer on one side of the cut-off equipment and the branch equipment on the other side are also the branch equipment, adding a virtual node, connecting the two branch equipment on the virtual node, and discarding the cut-off equipment; the disconnected device is directly discarded. After the processing of the link, all the cut-off equipment is discarded, and the power grid model is converted into a node-branch simplified model. And (2.2) taking the concerned unit node as a starting point, performing breadth-first algorithm search, recording outward branches of the node and the hierarchy of the branches, then searching the node outward, repeating the breadth-first algorithm search, stopping searching the 3 layers outward in total, recording all searched branches, and listing the branches into alternative branches. And (2.3) carrying out successive disconnection of the alternative branch in the current mode, recalculating the power flow, comparing the increase conditions of the power flows of other branches before and after disconnection, defining the increase rate as the sensitivity of the link, and forming an observation section with the disconnected branch if the sensitivity exceeds 0.3. And (2.4) increasing and decreasing the output of the unit in the current mode, recalculating the power flow, comparing the change conditions of the total power flow of the section before and after increasing and decreasing, defining the ratio of the variation to the output change of the unit as the sensitivity of the link, performing descending order on the sensitivity, and taking all sections with the sensitivity exceeding 0.4 as key sections.
(3) The generation of different power grid net racks by considering the risk of the power grid net rack means that different power grid net rack planning information is generated aiming at each power grid net rack risk by considering that a power grid has major changes caused by the fact that a single device quits operation due to faults or the same-tower power transmission line tower footing or the tower is damaged.
(4) Modeling the output characteristics of the unit, including time characteristics and output change, according to the characteristics of the unit and the mode of participating in the power market, namely setting the target output of the unit in stages according to the characteristics of the unit and the contract of participating in the power market on the basis of the multiple power grid racks obtained in the step (3).
(5) Generating a plurality of operation modes by overlapping a plurality of power grid network frame risks and unit output characteristics, and performing distribution balance adjustment if necessary, namely, overlapping the staged unit target output generated in the step (4) on the plurality of power grid network frames obtained in the step (3) to generate a plurality of operation modes, and if necessary, performing distribution balance adjustment, wherein the specific flow of the step is as follows: and (5.1) carrying out power flow calculation on the basis of the multiple power grid net racks obtained in the step (3), and if the power flow calculation net racks are not converged, carrying out service electric balance adjustment to converge the power flow calculation adjustment. And (5.2) on the basis of the convergence of the tidal current, adjusting the output of the set in the mode by taking the output of the staged set generated in the step (4) as a target, then calculating the tidal current, and if the output of the staged set is not converged, starting the balance adjustment of the electricity utilization again until the convergence of the tidal current calculation. And (5.3) storing the operation mode of convergence regulation for the next step.
(6) And (3) calculating the available reserve capacity of the unit under various operation modes respectively, taking the characteristics of the various operation modes into overall consideration, and selecting the available reserve capacity capable of representing each operation mode, wherein the effective reserve capacity is calculated under the various operation modes obtained in the step (5), the mode constraint is considered, the available reserve capacity is calculated, the available reserve capacity of the unit is evaluated after the available reserve capacity of the unit is obtained, and the available reserve capacity capable of representing all the operation modes is selected. The calculation flow is as follows:
and selecting an operation mode, and acquiring that the current output of the unit is Pnow and the maximum output of the unit is Pmax in the mode. Keeping the spare capacity of the unit without considering mode constraint as Pspare, and calculating the formula as Pspare as Pmax-Pnow.
And (3) listing the key sections of the unit obtained in the step (2) into an observation list, adjusting the output of the unit upwards, observing the power flow of each branch in the key sections, recording the current output of the unit as Pmax ' when one branch reaches a current limit value, if the output of the unit reaches Pmax, and the branch without the key section is out of limit, the Pmax ' is Pmax ', and on the basis, the computer unit is effectively reserved as Pspart ', Pmax ' -Pnow.
Marking a plurality of operation modes as 1-n, selecting the minimum unit effective spare capacity as Psmin, and calculating the following steps: psmin & Min1n(Pspare’i)。
Step S7: and (3) substituting the calculated effective reserve capacity into various power grid operation modes for verification, if the calculated effective reserve capacity passes the verification, outputting, namely substituting the Psmin obtained in the step (6) into the operation modes obtained in the step (5), checking whether the effective reserve capacity of the unit meets the requirements in each mode, and if the calculated effective reserve capacity passes the checking, outputting a result.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a system for analyzing an effective reserve capacity of a unit according to an embodiment of the present invention. In this embodiment, the system for analyzing the unit available spare capacity includes:
an information obtaining module 210, configured to obtain a power grid model and measurement data;
the information analysis module 220 is used for identifying the key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set;
an information planning module 230, configured to generate a plurality of types of power grid network frame planning information according to the power grid network frame fault set;
the output prediction module 240 is configured to obtain an output characteristic model of the unit to be detected according to the characteristic of the unit to be detected, a contract participating in the power market, and the power grid network planning information;
the output detection module 250 is configured to generate a plurality of operation modes according to the output characteristic model;
the operation detection module 260 is configured to calculate an effective standby capacity set of the unit to be detected in all the operation modes;
and a capacity evaluation module 270, configured to evaluate the set of available spare capacities to obtain available spare capacities that can represent all the operation modes.
In an embodiment of the present invention, the information analysis module 220 includes:
the topology analysis unit is used for carrying out topology analysis on the power grid model and the measured data to obtain a node branch simplified model;
the algorithm searching unit is used for carrying out breadth-first algorithm searching by taking the node of the unit to be detected as a starting point to obtain an alternative branch set;
the load flow calculation unit is used for carrying out successive cut-off on the alternative branches in the alternative branch set to obtain the change rate of the branch load flow;
and the power flow analysis unit is used for taking the branch set with the change rate falling in a preset range as a key power transmission section.
In one embodiment of the present invention, the contribution predicting module 240 includes:
the balance adjustment unit is used for carrying out load flow calculation on the basis of the power grid network frame planning information and carrying out distribution electric balance adjustment on the non-convergent load flow to obtain convergent planning information;
and the output analysis unit is used for obtaining target outputs of the unit to be detected at different stages as output characteristic models based on the converged planning information, the characteristics of the unit to be detected and the contracts participating in the power market.
In an embodiment of the present invention, the output detection module 250 includes:
and the output adjusting unit is used for adjusting the output of the unit to be detected according to the output characteristic model until the power flow calculation is converged to obtain a converged operation mode.
Further, for specific limitations of the unit available spare capacity analysis system, reference may be made to the above limitations of the unit available spare capacity analysis method, which is not described herein again. All or part of each module in the unit effective spare capacity analysis system can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Referring to fig. 3, an embodiment of the invention provides a computer terminal device, which includes one or more processors and a memory. A memory is coupled to the processor for storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement a crew available spare capacity analysis method as in any one of the embodiments described above.
The processor is used for controlling the overall operation of the computer terminal equipment so as to complete all or part of the steps of the unit effective spare capacity analysis method. The memory is used to store various types of data to support the operation at the computer terminal device, which data may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
In an exemplary embodiment, the computer terminal Device may be implemented by one or more Application Specific 1 integrated circuits (AS 1C), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, for performing the above-mentioned unit active spare capacity analysis method and achieving technical effects consistent with the above-mentioned methods.
In another exemplary embodiment, a computer readable storage medium is also provided, which includes program instructions, which when executed by a processor, implement the steps of the crew available spare capacity analysis method in any of the above embodiments. For example, the computer readable storage medium may be the above memory including program instructions executable by a processor of a computer terminal device to perform the above method for analyzing unit available spare capacity, and achieve the same technical effects as the above method.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A method for analyzing available reserve capacity of a unit, comprising:
acquiring a power grid model and measurement data;
identifying a key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set;
generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set;
obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, contracts participating in the power market and the planning information of the power grid network frame;
generating a plurality of operation modes according to the output characteristic model;
calculating an effective standby capacity set of the unit to be detected in all the operation modes;
and evaluating the set of effective spare capacities to obtain the effective spare capacities which can represent all the operation modes.
2. The unit effective reserve capacity analysis method according to claim 1, wherein the identifying key transmission sections of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set comprises:
carrying out topology analysis on the power grid model and the measured data to obtain a node branch simplified model;
taking a node of the unit to be detected as a starting point, carrying out breadth-first algorithm search, and obtaining an alternative branch set;
the alternative branches in the alternative branch set are cut off successively to obtain the change rate of the branch flow;
and taking the branch set with the change rate falling into a preset range as a key power transmission section.
3. The unit effective reserve capacity analysis method according to claim 1, wherein the obtaining of the output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, contracts participating in the power market, and the grid frame planning information comprises:
carrying out load flow calculation on the basis of the power grid network frame planning information, and carrying out distribution electric balance adjustment on the non-convergent load flow to obtain convergent planning information;
and obtaining target output of the unit to be detected at different stages as an output characteristic model based on the converged planning information, the characteristics of the unit to be detected and the contract participating in the electric power market.
4. The method for analyzing the unit available reserve capacity according to claim 1, wherein the generating a plurality of operating modes according to the output characteristic model comprises: and adjusting the output of the unit to be detected according to the output characteristic model until the power flow calculation is converged to obtain a converged operation mode.
5. A system for analyzing available reserve capacity of a unit, comprising:
the information acquisition module is used for acquiring a power grid model and measurement data;
the information analysis module is used for identifying the key power transmission section of the unit to be detected according to the power grid model and the measurement data to obtain a power grid network frame fault set;
the information planning module is used for generating a plurality of kinds of power grid network frame planning information according to the power grid network frame fault set;
the output prediction module is used for obtaining an output characteristic model of the unit to be detected according to the characteristics of the unit to be detected, the contract participating in the electric power market and the planning information of the power grid network frame;
the output detection module is used for generating a plurality of operation modes according to the output characteristic model;
the operation detection module is used for calculating an effective standby capacity set of the unit to be detected in all the operation modes;
and the capacity evaluation module is used for evaluating the effective spare capacity set to obtain the effective spare capacity capable of representing all the operation modes.
6. The crew available reserve capacity analysis system of claim 5, wherein the information analysis module comprises:
the topology analysis unit is used for carrying out topology analysis on the power grid model and the measured data to obtain a node branch simplified model;
the algorithm searching unit is used for carrying out breadth-first algorithm searching by taking the node of the unit to be detected as a starting point to obtain an alternative branch set;
the load flow calculation unit is used for carrying out successive cut-off on the alternative branches in the alternative branch set to obtain the change rate of the branch load flow;
and the power flow analysis unit is used for taking the branch set with the change rate falling in a preset range as a key power transmission section.
7. The crew available reserve capacity analysis system of claim 5, wherein the capacity forecast module comprises:
the balance adjustment unit is used for carrying out load flow calculation on the basis of the power grid network frame planning information and carrying out distribution electric balance adjustment on the non-convergent load flow to obtain convergent planning information;
and the output analysis unit is used for obtaining target outputs of the unit to be detected at different stages as output characteristic models based on the converged planning information, the characteristics of the unit to be detected and the contracts participating in the power market.
8. The crew available reserve capacity analysis system of claim 5, wherein the capacity detection module comprises:
and the output adjusting unit is used for adjusting the output of the unit to be detected according to the output characteristic model until the power flow calculation is converged to obtain a converged operation mode.
9. A computer terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the crew available spare capacity analysis method of any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method for analyzing an available reserve capacity of a unit according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110704604.4A CN113452017B (en) | 2021-06-24 | 2021-06-24 | Method, system, equipment and storage medium for analyzing available spare capacity of unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110704604.4A CN113452017B (en) | 2021-06-24 | 2021-06-24 | Method, system, equipment and storage medium for analyzing available spare capacity of unit |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113452017A true CN113452017A (en) | 2021-09-28 |
| CN113452017B CN113452017B (en) | 2022-05-10 |
Family
ID=77812656
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110704604.4A Active CN113452017B (en) | 2021-06-24 | 2021-06-24 | Method, system, equipment and storage medium for analyzing available spare capacity of unit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113452017B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105656024A (en) * | 2015-12-02 | 2016-06-08 | 国电南瑞科技股份有限公司 | Electric power system operation standby safety margin online assessment method |
| CN106532775A (en) * | 2016-12-09 | 2017-03-22 | 上海电力设计院有限公司 | Optimization selection method for grid-connected points of offshore wind power plant |
| CN111276969A (en) * | 2020-02-27 | 2020-06-12 | 国网湖南省电力有限公司 | Method, system and medium for calculating rotating reserve capacity of power system by considering coupling relation |
| US20200259334A1 (en) * | 2018-04-03 | 2020-08-13 | Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. | Power control method, device and system for wind power station |
| CN111555269A (en) * | 2020-04-14 | 2020-08-18 | 南方电网科学研究院有限责任公司 | Analysis method and device for power grid reserve capacity, terminal equipment and storage medium |
| CN112288596A (en) * | 2020-11-20 | 2021-01-29 | 广东电网有限责任公司电力调度控制中心 | Electric power spot market operation standby modeling method and related device |
-
2021
- 2021-06-24 CN CN202110704604.4A patent/CN113452017B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105656024A (en) * | 2015-12-02 | 2016-06-08 | 国电南瑞科技股份有限公司 | Electric power system operation standby safety margin online assessment method |
| CN106532775A (en) * | 2016-12-09 | 2017-03-22 | 上海电力设计院有限公司 | Optimization selection method for grid-connected points of offshore wind power plant |
| US20200259334A1 (en) * | 2018-04-03 | 2020-08-13 | Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. | Power control method, device and system for wind power station |
| CN111276969A (en) * | 2020-02-27 | 2020-06-12 | 国网湖南省电力有限公司 | Method, system and medium for calculating rotating reserve capacity of power system by considering coupling relation |
| CN111555269A (en) * | 2020-04-14 | 2020-08-18 | 南方电网科学研究院有限责任公司 | Analysis method and device for power grid reserve capacity, terminal equipment and storage medium |
| CN112288596A (en) * | 2020-11-20 | 2021-01-29 | 广东电网有限责任公司电力调度控制中心 | Electric power spot market operation standby modeling method and related device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113452017B (en) | 2022-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104316879B (en) | A kind of prediction technique in lead-acid batteries service life | |
| JP2023525946A (en) | METHOD AND SYSTEM FOR ERROR ANALYSIS OF MEASURED AREA BASED ON SINGLE LOAD JUMP, AND STORAGE MEDIUM | |
| CN109657913B (en) | Transmission and distribution network joint risk assessment method considering distributed power supply | |
| CN109934437B (en) | Power distribution network power outage risk assessment method and system | |
| CN110601250B (en) | Method for evaluating stability of static voltage of access point based on new energy power station | |
| CN113077075B (en) | New energy uncertainty electric power system safety risk prevention control method and device | |
| CN110460038A (en) | It is a kind of to be related to more scene method for expansion planning of power transmission network of new-energy grid-connected | |
| CN116973694B (en) | Power distribution network fault diagnosis optimization method and system | |
| CN114915546A (en) | Method, device, equipment and medium for positioning power failure user | |
| CN110188998B (en) | Evaluation method for time sequence construction reliability of wind turbine generator and energy storage of power distribution network | |
| Shahriyari et al. | A novel fast transient stability assessment of power systems using fault-on trajectory | |
| CN114925973A (en) | Power grid running state obtaining method and system based on multi-source data integration | |
| CN114336608A (en) | Unit blocking optimization method and system considering dynamic capacity increase and reconstruction | |
| Li et al. | Service restoration for distribution network considering the uncertainty of restoration time | |
| CN113452017B (en) | Method, system, equipment and storage medium for analyzing available spare capacity of unit | |
| CN105701265A (en) | Double-fed wind generator modeling method and apparatus | |
| CN116307838A (en) | Accurate equivalence method, system and medium for power distribution network in power grid reliability evaluation | |
| CN108616126B (en) | Distribution network reliability calculation method considering power transmission network power supply capacity probability equivalent model | |
| CN114707888A (en) | Distributed power supply credible capacity evaluation method based on power distribution network security domain | |
| Shu et al. | Non-sequential simulation methods for reliability analysis of power systems with photovoltaic generation | |
| CN112036740A (en) | Node power failure risk invariant node reserve capacity rapid assessment method | |
| CN117559449B (en) | Power grid power transmission stability control method, system and storage medium | |
| Xu et al. | Risk assessment method for transmission-distribution integrated system with distributed PV | |
| Petean-Pina et al. | Effect of wind generation uncertainty on voltage stability-a singular value analysis | |
| An et al. | A generalized data preprocessing method for wind power prediction |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |