CN113131617B - Intelligent distributed power utilization feeder line detection system - Google Patents
Intelligent distributed power utilization feeder line detection system Download PDFInfo
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- CN113131617B CN113131617B CN202110494679.4A CN202110494679A CN113131617B CN 113131617 B CN113131617 B CN 113131617B CN 202110494679 A CN202110494679 A CN 202110494679A CN 113131617 B CN113131617 B CN 113131617B
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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
- H02J13/00002—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 monitoring
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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
- 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
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- 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 invention relates to an intelligent distributed power utilization feeder line detection system which is configured on a distributed power grid, wherein the distributed power grid comprises a plurality of power supply ends, middle-section power stations and power utilization ends, each power utilization end at least corresponds to two middle-section power stations, and each middle-section power station at least corresponds to two power supply ends; the intelligent distributed power utilization feeder line detection system comprises a configuration subsystem, a fault monitoring subsystem, a load analysis subsystem, a load management subsystem and a compensation execution subsystem. The intelligent analysis and management function can be realized on the whole distributed power grid, the deviation value is predicted in advance, if the deviation value exceeds an ideal condition, the power supply network can be shared by itself for detection, the power supply burden of a certain middle node passing through the point station in the distributed unit is judged, meanwhile, the power supply compensation is carried out, the power supply efficiency is improved, and the power grid can be found in advance for repair and maintenance if abnormal conditions occur.
Description
Technical Field
The invention relates to the technical field of power supply, in particular to an intelligent distributed power utilization feeder line detection system.
Background
The current power grid system is mainly responsible for power supply and power management of each power management area, and particularly has the functions of integrating a power module management function, a line loss module function, a protection function, and fixed-point recording and wave recording. The stability and the safety of the power grid system are all the key elements of management and maintenance of technical personnel, one node of the power supply system is problematic, the electric energy use of the whole area and the subsequent nodes can be influenced, so that daily monitoring is very important, the line use can be aged and damaged due to environmental problems, or the power supply risk exists due to the influence of the power supply quality of the nodes and the influence of disturbance factors, so that the power supply quality needs to be detected, and the existing detection mode has low precision, real-time checking and difficult early warning and discovery of the power quality problem.
Disclosure of Invention
In view of the above, the present invention is directed to an intelligent distributed power feeder detection system to solve the above-mentioned problems.
In order to solve the technical problems, the technical scheme of the invention is as follows: an intelligent distributed power utilization feeder line detection system is configured on a distributed power grid, wherein the distributed power grid comprises a plurality of power supply ends, middle-section power stations and power utilization ends, each power end at least corresponds to two middle-section power stations, and each middle-section power station at least corresponds to two power supply ends;
the intelligent distributed power utilization feeder detection system comprises a configuration subsystem, a fault monitoring subsystem, a load analysis subsystem, a load management subsystem and a compensation execution subsystem;
the configuration subsystem comprises a monitoring configuration module, a disturbance configuration module and a topology division module; the monitoring configuration module is used for configuring a plurality of monitoring nodes in the distributed power grid, the monitoring nodes are configured with feed detection units, the disturbance configuration module is used for configuring a plurality of disturbance input nodes in the distributed power grid, the disturbance input nodes are configured with disturbance input units, the topology division module is used for dividing the distributed power grid into a plurality of topology units, and the topology units comprise topological connection relations among the middle-section power stations and between the middle-section power stations and the power supply end;
the fault monitoring subsystem comprises a disturbance generation module, a disturbance monitoring module and a monitoring amount analysis module; the disturbance generation module is configured with a disturbance topology database, the disturbance topology database is configured with topology features and corresponding disturbance information, the topology features reflect a topology connection relation in the distributed power grid, the disturbance information comprises disturbance nodes and disturbance data, the disturbance information is input into the corresponding disturbance topology database in advance and is associated with the topology features, and the disturbance generation module acquires the corresponding disturbance information according to the topology features corresponding to the topology units to generate a monitoring command; the disturbance monitoring module controls a corresponding disturbance input unit in the topology unit to input disturbance signals into the distributed power grid according to the disturbance monitoring command, receives the disturbance signals through the feed detection unit in the topology unit, and is configured with a disturbance analysis algorithm, and the disturbance analysis algorithm obtains disturbance deviation values according to the received disturbance signals; the monitoring quantity analysis module is configured with a physical threshold generation algorithm, the physical threshold generation algorithm is used for outputting a fault reminding signal according to a physical threshold corresponding to the distributed power grid, and when the disturbance deviation value is larger than the physical threshold, the fault monitoring subsystem outputs a fault reminding signal;
the load analysis subsystem comprises a waveform acquisition module, an amplitude modulation load detection module and a frequency modulation load detection module, the load analysis subsystem works when receiving a fault reminding signal, the waveform acquisition module is configured with a memory waveform database, the memory waveform database is configured with a topology unit number and corresponding memory waveform data, the topology unit number is correspondingly set according to the topology unit, the memory waveform data reflects the historical waveform of the topology unit, and the amplitude modulation load detection module acquires the corresponding memory waveform data according to the number corresponding to the topology unit; the amplitude modulation load detection module acquires the period and waveform characteristics of the memory waveform data to generate an amplitude modulation virtual waveform with the amplitude smaller than the memory waveform, the amplitude modulation virtual waveform is input through the disturbance input node, the amplitude modulation virtual waveform is received through a feed detection unit in the topology unit, and the amplitude modulation load is obtained through calculation according to the deviation between the input amplitude modulation virtual waveform and the received amplitude modulation virtual waveform; the frequency modulation load detection module obtains the amplitude of the memory waveform data to generate a frequency modulation virtual waveform with the period smaller than that of the memory waveform, inputs the frequency modulation virtual waveform through the disturbance input node, receives the frequency modulation virtual waveform through a feed detection unit in the topology unit, and calculates to obtain the frequency modulation load according to the deviation between the input frequency modulation virtual waveform and the received frequency modulation virtual waveform;
the load management subsystem is configured with a load management database, the load management database stores topology unit numbers and corresponding load information, the load information is pre-configured in the load management database, the load management subsystem is configured with a load information updating module, and the load information updating module updates the load information according to the amplitude modulation load and the frequency modulation load;
the compensation execution subsystem is configured with a compensation strategy information base, the compensation strategy information base stores load conditions and corresponding compensation strategies, and when the corresponding load information accords with the load conditions, the compensation execution subsystem executes the corresponding compensation strategies to control the middle-section power station to compensate the distributed power grid.
Furthermore, the monitoring node is further configured with a disturbance subtractor, and the disturbance subtractor configures a corresponding disturbance subtraction strategy according to the input disturbance signal to filter the disturbance signal.
Further, the feed detection unit comprises an alternating current filter, and a filtering frequency band of the alternating current filter is generated in advance according to the frequency point of the disturbance signal.
Further, the configuration subsystem comprises a switch configuration module, a disconnection node is configured between each topological unit in the distributed power grid, the disconnection node is provided with a disconnection switch, the load analysis subsystem comprises a separation module, the separation module is configured with a separation information database, the separation information database stores topological unit numbers and corresponding disconnection nodes, and the separation module calls the corresponding disconnection nodes according to the topological unit numbers generating fault reminding information and controls the corresponding disconnection switches to be disconnected.
Further, the load analysis subsystem is configured with an analysis strategy, the analysis strategy comprises a dynamic analysis step, a static analysis step and a double-state analysis step, the dynamic analysis step comprises controlling the dynamic analysis module to work, the static analysis step comprises controlling the static analysis module to work, and the double-state analysis step comprises simultaneously controlling the dynamic analysis module and the static analysis module to work.
Further, the load management subsystem further comprises a load analysis module configured with historical load data, wherein the load analysis module obtains load prediction data by linearly fitting the historical load data each time load information is updated.
Further, the load management subsystem comprises a load configuration module, the load configuration module is configured with a load node database, the load node database is configured with load nodes and corresponding node load data, the load nodes are corresponding to the middle-node power station, the node load data are generated according to load information and environment information corresponding to the load nodes, and the environment information reflects the environment information of the middle-node power station.
Further, the type of the node load data is a numerical value, the load configuration module is provided with a load quantization strategy and an environment quantization strategy, the load quantization strategy configures a plurality of load deviation ranges and corresponding load deviation values, when the data corresponding to the load information falls into the load deviation ranges, the corresponding load deviation values are obtained, the environment quantization strategy configures a plurality of environment deviation ranges and corresponding environment deviation values, when the data corresponding to the environment information falls into the environment deviation ranges, the corresponding environment deviation values are obtained, and the node load data is obtained according to the load deviation values and the environment deviation values.
Further, the system also comprises a topology networking subsystem, when a new power supply area needs to be networked, the topology networking subsystem works, and the topology networking subsystem comprises a model configuration module, a networking simulation module and a sequence analysis module; the model configuration module builds a position relation model according to the relation between the physical position of the power supply area and the distributed power grid, and marks each electric equipment in the power supply area in the distributed power grid model, the networking simulation module obtains topological characteristics meeting the conditions, and builds a plurality of new networking topologies by using the fact that each electric equipment has at least two related requirements of the middle-section power station; the sequence analysis module is used for calculating a total load value of each networking topology, and sequencing the networking topologies according to the total load value, wherein the total load value is calculated according to a first load value and a second load value, the first load value is the sum of physical loads among all electric wires in the networking topology, and the second load value is the sum of node load data of each power-saving station.
The technical effects of the invention are mainly as follows: through the arrangement, the intelligent analysis and management function can be realized on the whole distributed power grid, the deviation value is predicted in advance, if the deviation value exceeds an ideal condition, the power supply network can be shared by itself for detection, the power supply burden of a certain middle node passing through a point station in the distributed unit is judged, meanwhile, the power supply compensation is carried out, the power supply efficiency is improved, and the power grid can be found in advance for repair and maintenance if abnormal conditions occur.
Drawings
Fig. 1: the distributed power grid principle topological diagram of the intelligent distributed power utilization feeder line detection system is provided;
fig. 2: the subsystem architecture schematic diagram of the intelligent distributed power utilization feeder line detection system is shown in the specification;
fig. 3: the configuration subsystem architecture diagram of the intelligent distributed power utilization feeder line detection system is provided;
fig. 4: the fault monitoring subsystem architecture diagram of the intelligent distributed power utilization feeder line detection system is provided;
fig. 5: the load analysis subsystem architecture diagram of the intelligent distributed power utilization feeder detection system is provided;
fig. 6: the load management subsystem architecture diagram of the intelligent distributed power utilization feeder detection system is provided;
fig. 7: the topology networking subsystem architecture diagram of the intelligent distributed power utilization feeder line detection system is provided.
Reference numerals: 10. a power supply end; 20. the middle section passes through a power station; 30. an electricity utilization end; 100. configuring a subsystem; 110. a monitoring configuration module; 111. monitoring nodes; 120. a disturbance configuration module; 121. disturbance input nodes; 130. a topology dividing module; 131. a topology unit; 140. a switch configuration module; 141. a trip node; 200. a fault monitoring subsystem; 210. a disturbance generation module; 211. a disturbance topology database; 220. a disturbance monitoring module; 230. a monitoring amount analysis module; 300. a load analysis subsystem; 310. a waveform acquisition module; 311. a memory waveform database; 320. an amplitude modulation load detection module; 330. the frequency modulation load detection module; 340. a compartmentalization module; 341. separating an information database; 400. a load management subsystem; 401. a load management database; 410. a load information updating module; 500. a compensation execution subsystem; 501. a compensation strategy information base; 600. a topology networking subsystem; 610. a model configuration module; 620. networking simulation module; 630. and a sequence analysis module.
Detailed Description
The following detailed description of the invention is provided in connection with the accompanying drawings to facilitate understanding and grasping of the technical scheme of the invention.
An intelligent distributed power utilization feeder line detection system is configured in a distributed power grid, wherein the distributed power grid comprises a plurality of power supply ends 10, middle-section power stations 20 and power utilization ends 30, each power utilization end 30 at least corresponds to two middle-section power stations 20, and each middle-section power station 20 at least corresponds to two power supply ends 10; it should be noted that, the power supply terminal 10 described in the present system is not only a power station, but also may be a primary power supply station or a secondary power supply station, the power utilization terminal 30 is not only a power utilization terminal for household use, as shown in fig. 1, the number of stages of power supply of each power grid is different, the present invention is only used for monitoring the power utilization performance of the three-stage power supply networking part, if there are 7 stages of power supply systems in one power grid, the power supply detection system of the present invention may be applied as long as any three stages of power supply systems capable of forming a distributed power supply topology logic therein, for example, the three stages of power supply systems, for example, the 1 stage of power supply station, supply power for the 2 stage of power supply station and the 3 stage of power supply station, the 2 stage of power supply station and the 3 stage of power supply station supply power for the 4 stage of power supply station, the 1 stage of power supply station forms the power utilization terminal 10, the 2 stage of power supply station and the 3 stage of power supply station together form a middle-saving power supply station, and the 4 stage of power supply station forms the power utilization terminal 30, but it also needs to be satisfied that each 2 stage of power supply station and 3 stage of power supply station 1 of power supply station is provided for at least two stage 1 of power supply station.
The intelligent distributed power utilization feeder detection system comprises a configuration subsystem 100, a fault monitoring subsystem 200, a load analysis subsystem 300, a load management subsystem 400 and a compensation execution subsystem 500;
the configuration subsystem 100 includes a monitoring configuration module 110, a perturbation configuration module 120, and a topology partitioning module 130; the monitoring configuration module 110 is configured to configure a plurality of monitoring nodes 111 in the distributed power grid, the monitoring nodes 111 are configured with feed detection units, the disturbance configuration module 120 is configured to configure a plurality of disturbance input nodes 121 in the distributed power grid, the disturbance input nodes 121 are configured with disturbance input units, the topology division module 130 is configured to divide the distributed power grid into a plurality of topology units 131, the topology units 131 comprise topology connection relations between the middle-section power stations 20 and the power supply end 10, and specific topology relations can refer to diagrams, such as a few inputs and a few outputs; firstly, the configuration subsystem 100 is configured, the configuration word system is mainly used for managing the topological relation among all stations in a power grid, and simultaneously, corresponding node distribution is configured, for example, nodes for monitoring electric energy and nodes for inputting disturbance information are configured, and the independent configuration system is characterized in that when any node in the configuration system performs networking and networking, the configuration subsystem 100 can independently adjust the change of the network topology, the configuration subsystem 100 also has verification and secondary safety management functions, the verification functions ensure that the change of the network topology must conform to the logic of the distributed power grid each time, the isolation of the nodes for receiving power supply is avoided, and the secondary safety management functions ensure that the configuration subsystem 100 performs safety analysis in advance before executing the policies of other systems each time, and the execution of the policies can be allowed under the condition that the normal operation of other nodes is ensured, so that the safety of the whole detection system is improved. The configuration subsystem 100 includes a switch configuration module 140, a circuit breaking node 141 is configured between each topology unit 131 in the distributed power network, the circuit breaking node 141 is provided with a circuit breaking switch, the load analysis subsystem 300 includes a separation module 340, the separation module 340 is configured with a separation information database 341, the separation information database 341 stores the numbers of the topology units 131 and the corresponding circuit breaking nodes 141, and the separation module 340 retrieves the corresponding circuit breaking nodes 141 according to the numbers of the topology units 131 generating the fault reminding information and controls the corresponding circuit breaking switches to be opened. Through the arrangement of the switch, when the topology is abnormal, the power supply can be disconnected, so that firstly, the operation of a lower-stage circuit is not influenced when the switch is disconnected due to the distributed control system, and the power is supplied to the same-stage circuit for a short time, and the topology can be simulated.
The fault monitoring subsystem 200 includes a disturbance generating module 210, a disturbance monitoring module 220, and a monitoring amount analysis module 230; the disturbance generation module 210 is configured with a disturbance topology database 211, the disturbance topology database 211 is configured with a topology feature and corresponding disturbance information, the topology feature reflects a topology connection relation in the distributed power grid, the disturbance information comprises disturbance nodes and disturbance data, the disturbance information is input into the corresponding disturbance topology database 211 in advance and is associated with the topology feature, and the disturbance generation module 210 acquires the corresponding disturbance information according to the topology feature corresponding to the topology unit 131 to generate a monitoring command; the disturbance monitoring module 220 controls a corresponding disturbance input unit in the topology unit 131 to input a disturbance signal into the distributed power grid according to the disturbance monitoring command, and receives the disturbance signal through the feed detection unit in the topology unit 131, and the disturbance monitoring module 220 is configured with a disturbance analysis algorithm, and the disturbance analysis algorithm obtains a disturbance deviation value according to the received disturbance signal; the monitoring quantity analysis module 230 is configured with a physical threshold generation algorithm, and the physical threshold generation algorithm is configured to output a fault reminding signal by the fault monitoring subsystem 200 when the disturbance deviation value is greater than the physical threshold according to a physical threshold corresponding to the distributed power grid; firstly, the disturbance generating module 210 is needed to generate disturbance information, the disturbance generating module 210 is used for detecting the power supply quality when the disturbance information is generated, because the normal power supply cannot know the starting point of the occurrence of an abnormal condition in a topology, because the deviation of disturbance in the power supply process has a filtering effect, so that the abnormality is difficult to analyze, a very large number of monitoring nodes 111 are needed to be arranged, the cost is high, the power supply quality of the whole power grid is analyzed by adding a disturbance mode in the scheme, but at the moment, a problem exists, because the topology condition of the power grid needs to be considered when the disturbance is added, the safety problem of the power grid can be caused when the disturbance is added when the condition of the power grid is not considered, the problem is also the reason that the disturbance is not arranged in the existing power grid detecting system, since the disturbance information that can be used is different according to each topology connection relationship if the whole power supply system is problematic or paralyzed due to the occurrence of disturbance, a feature map of each topology structure that can reflect the topology connection relationship is first built in advance, then disturbance simulation that can be performed under each topology feature structure is configured according to analysis, a database is built according to this information, this disturbance simulation is input according to the result of the pre-configuration, the disturbance information includes the node of disturbance and the type of disturbance, then disturbance signals are input into the power grid through the disturbance input unit, at this time, the disturbance monitoring module 220 can perform disturbance analysis according to the condition that this disturbance signal is accepted, in theory, this disturbance will be corrected by the power grid to make the waveform normal, and if the disturbance deviation value that actually occurs is large, it is described that the deviation exceeds the expectation, and the monitoring amount analysis module 230 is mainly used for generating a physical threshold, where the physical threshold is related to factors such as line usage time and line material type, and is generated by a conversion table, that is, the influence of physical factors such as line usage time, line material, transmission distance, etc. on the whole deviation is corrected by means of the physical threshold, and for example, in the case that the line usage time is longer and the line material is worse, the corresponding physical threshold is smaller, and if the deviation exceeds the threshold, it is described that the disturbance resistance of the part is worse, and once the disturbance occurs, the subsequent power supply quality may be reduced, and at this time, the whole system enters the function of load analysis by generating a fault early warning signal. The monitoring node 111 is further configured with a disturbance subtractor that configures a corresponding disturbance subtraction strategy to filter the disturbance signal according to the input disturbance signal. Therefore, the influence of the disturbance signal on the subsequent circuit can be avoided, the disturbance subtraction strategy can be obtained through the frequency, the wavelength and the amplitude of the disturbance signal, and then the disturbance wave is filtered out through the analog compensation waveform, so that the disturbance can be triggered under the condition of not affecting the subsequent circuit. The feed detection unit comprises an alternating current filter, and the filtering frequency band of the alternating current filter is generated in advance according to the frequency point of the disturbance signal. Because the frequency band of the actual power supply is different from that of the disturbance signal and the frequency point of the disturbance signal is known, the frequency point of the corresponding alternating current filter can be configured at the same time when the disturbance signal is generated, only the disturbance signal can be captured, and the operation efficiency of the power grid is improved in a dynamic configuration mode.
The load analysis subsystem 300 includes a waveform acquisition module 310, an amplitude modulation load detection module 320 and a frequency modulation load detection module 330, the load analysis subsystem 300 works when receiving a fault reminding signal, the waveform acquisition module 310 is configured with a memory waveform database 311, the memory waveform database 311 is configured with a topology unit 131 number and corresponding memory waveform data, the topology unit 131 number is correspondingly set according to the topology unit 131, the memory waveform data reflects a historical waveform of the topology unit 131, and the amplitude modulation load detection module 320 acquires corresponding memory waveform data according to the corresponding number of the topology unit 131; the amplitude modulation load detection module 320 obtains the period and waveform characteristics of the memory waveform data to generate an amplitude modulation virtual waveform with amplitude smaller than the memory waveform, inputs the amplitude modulation virtual waveform through the disturbance input node 121, receives the amplitude modulation virtual waveform through a feed detection unit in the topology unit 131, and calculates an amplitude modulation load according to the deviation between the input amplitude modulation virtual waveform and the received amplitude modulation virtual waveform; the fm load detection module 330 obtains the amplitude of the memorized waveform data to generate an fm virtual waveform with a period smaller than that of the memorized waveform, inputs the fm virtual waveform through the disturbance input node 121, receives the fm virtual waveform through the feed detection unit in the topology unit 131, and calculates the fm load according to the deviation between the input fm virtual waveform and the received fm virtual waveform; firstly, the waveform obtaining module 310, the load analysis subsystem 300 records the waveform passed by each node, that is, the waveform passed by the node, and the waveform is stored in the form of data, then the two forms of amplitude modulation and frequency modulation are used for simulation, firstly amplitude modulation is performed, that is, the waveform is unchanged, the amplitude is adjusted, the waveform is input through the disturbance input node 121, the influence of the topology unit 131 on the waveform can be detected through the detection logic, on the other hand, the influence of the topology unit 131 on the amplitude can be judged through the mode of adjusting the amplitude of the frequency unchanged, so that the reason for influencing the result can be known through dynamic judgment, the corresponding load value is generated, the specific value is selected to obtain the corresponding value according to the equal proportion of the areas of the deviation between the two standard waveforms and the received waveforms, and the value reflects the deviation value on the whole.
The load management subsystem 400 is configured with a load management database 401, the load management database 401 stores the serial numbers of the topology units 131 and corresponding load information, the load information is pre-configured in the load management database 401, the load management subsystem 400 is configured with a load information updating module 410, and the load information updating module 410 updates the load information according to the amplitude modulation load and the frequency modulation load; the load management database 401 is used for recording the load information corresponding to each topology unit 131, and the load information is synchronously updated through load detection, and the load information is standard formed by reference parameters, and the load information is obtained through the load information updating module 410 through the algorithm of vertical vector cross multiplication of amplitude modulation and frequency modulation load, so as to determine the load information. The load management subsystem 400 also includes a load analysis module configured with historical load data that is recorded each time load information is updated, the load analysis module obtaining load prediction data by linearly fitting the historical load data. By recording the history load data at each time in this way, the history information can be updated and the load data at the next time can be predicted. The load management subsystem 400 includes a load configuration module, where the load configuration module is configured with a load node database, where the load node database is configured with load nodes and corresponding node load data, where the load nodes are set corresponding to the intermediate power station 20, and the node load data is generated according to load information and environment information corresponding to the load nodes, and the environment information reflects the environment information of the intermediate power station 20. By setting in this way, the load node database generates the current environmental information according to the current environmental information, which may be the corresponding temperature and humidity condition information, and the like, and because the bearing values of the load are different under different conditions, the load node database generates the node load data through the load information and the environmental information, and specifically, a load data comparison table about the load information is established through the environmental information, for example, under different environments, the load information generates the corresponding data value in advance through analysis configuration, and then the data of the corresponding load data comparison table is called through the comparison table according to the actual environmental information and the load information. Specifically, the type of the node load data may be a numerical value, the load configuration module is provided with a load quantization policy and an environment quantization policy, the load quantization policy configures a plurality of load deviation ranges and corresponding load deviation values, when data corresponding to the load information falls into the load deviation ranges, the corresponding load deviation values are obtained, the environment quantization policy configures a plurality of environment deviation ranges and corresponding environment deviation values, when data corresponding to the environment information falls into the environment deviation ranges, the corresponding environment deviation values are obtained, and the node load data is obtained according to the load deviation values and the environment deviation values.
The compensation execution subsystem 500 is configured with a compensation policy information base 501, the compensation policy information base 501 stores load conditions and corresponding compensation policies, and when corresponding load information meets the load conditions, the compensation execution subsystem 500 executes the corresponding compensation policies to control the intermediate power plant 20 to compensate the distributed power grid. The purpose of the compensation strategy is to compensate the influence caused by the line loss in the power grid through the middle-section power station 20, so that the power quality can be ensured, and the load of the whole power grid can be improved.
The load analysis subsystem 300 is configured with an analysis strategy, the analysis strategy includes a dynamic analysis step, a static analysis step, and a binary analysis step, the dynamic analysis step includes controlling the dynamic analysis module to work, the static analysis step includes controlling the static analysis module to work, and the binary analysis step includes simultaneously controlling the dynamic analysis module and the static analysis module to work.
The topology networking subsystem 600 works when a new power supply area needs to be networked, wherein the topology networking subsystem 600 comprises a model configuration module 610, a networking simulation module 620 and a sequence analysis module 630; the model configuration module 610 builds a positional relationship model according to the relationship between the physical position of the power supply area and the distributed power grid, and calibrates each electric device in the power supply area in the distributed power grid model, the networking simulation module 620 obtains topological characteristics meeting the conditions, and builds a plurality of new networking topologies by using each electric device to have at least two related requirements of 20 bits of the intermediate power station; the sequence analysis module 630 is configured to calculate a total load value of each networking topology, and rank the networking topologies according to the total load value, where the total load value is calculated according to a first load value and a second load value, the first load value is a sum of physical loads between each electrical connection in the networking topology, and the second load value is a sum of node load data of each power-saving station 20. Firstly, a model is built firstly, because the position of each electric equipment on the physical relationship is known, the information of the cost, the line length, the material and the like of an actually generated erection circuit is determined by the known quantity, a relation model can be obtained, then the position of each electric equipment is used, then all possible topology combinations are simulated, namely, the connection relation between the power supply end 10 in the power supply area and the intermediate power station 20 is formed, a plurality of networking topologies are formed, of course, the networking topologies are not actually obtained, so that the influence value, particularly the burden value, generated by the networking topologies is calculated by the sequence analysis module 630, the needed topology relation model can be judged by a mode of calculating the burden value, the needed topology relation model can be obtained by calculating the first burden value and the second burden value, the specific formula is not limited according to actual requirements and conditions, but the first burden value is the physical burden, namely, the information of the line length, the erection cost and the like, the second burden value is the actual burden, namely, the theoretical burden which can appear on the basis after the completion of the networking topology is completed, the final burden is calculated by the two burden values, and the optimal scheme is obtained by calculating the two burden values.
Of course, the above is only a typical example of the invention, and other embodiments of the invention are also possible, and all technical solutions formed by equivalent substitution or equivalent transformation fall within the scope of the invention claimed.
Claims (9)
1. An intelligent distributed power consumption feeder detection system which is characterized in that: the distributed power grid comprises a plurality of power supply ends, middle-section power stations and power utilization ends, wherein each power end at least corresponds to two middle-section power stations, and each middle-section power station at least corresponds to two power supply ends;
the intelligent distributed power utilization feeder detection system comprises a configuration subsystem, a fault monitoring subsystem, a load analysis subsystem, a load management subsystem and a compensation execution subsystem;
the configuration subsystem comprises a monitoring configuration module, a disturbance configuration module and a topology division module; the monitoring configuration module is used for configuring a plurality of monitoring nodes in the distributed power grid, the monitoring nodes are configured with feed detection units, the disturbance configuration module is used for configuring a plurality of disturbance input nodes in the distributed power grid, the disturbance input nodes are configured with disturbance input units, the topology division module is used for dividing the distributed power grid into a plurality of topology units, and the topology units comprise topological connection relations among the middle-section power stations and between the middle-section power stations and the power supply end;
the fault monitoring subsystem comprises a disturbance generation module, a disturbance monitoring module and a monitoring amount analysis module; the disturbance generation module is configured with a disturbance topology database, the disturbance topology database is configured with topology features and corresponding disturbance information, the topology features reflect a topology connection relation in the distributed power grid, the disturbance information comprises disturbance nodes and disturbance data, the disturbance information is input into the corresponding disturbance topology database in advance and is associated with the topology features, and the disturbance generation module acquires the corresponding disturbance information according to the topology features corresponding to the topology units to generate a monitoring command; the disturbance monitoring module controls a corresponding disturbance input unit in the topology unit to input disturbance signals into the distributed power grid according to the disturbance monitoring command, receives the disturbance signals through the feed detection unit in the topology unit, and is configured with a disturbance analysis algorithm, and the disturbance analysis algorithm obtains disturbance deviation values according to the received disturbance signals; the monitoring quantity analysis module is configured with a physical threshold generation algorithm, the physical threshold generation algorithm is used for outputting a fault reminding signal according to a physical threshold corresponding to the distributed power grid, and when the disturbance deviation value is larger than the physical threshold, the fault monitoring subsystem outputs a fault reminding signal;
the load analysis subsystem comprises a waveform acquisition module, an amplitude modulation load detection module and a frequency modulation load detection module, the load analysis subsystem works when receiving a fault reminding signal, the waveform acquisition module is configured with a memory waveform database, the memory waveform database is configured with a topology unit number and corresponding memory waveform data, the topology unit number is correspondingly set according to the topology unit, the memory waveform data reflects the historical waveform of the topology unit, and the amplitude modulation load detection module acquires the corresponding memory waveform data according to the number corresponding to the topology unit; the amplitude modulation load detection module acquires the period and waveform characteristics of the memory waveform data to generate an amplitude modulation virtual waveform with the amplitude smaller than the memory waveform, the amplitude modulation virtual waveform is input through the disturbance input node, the amplitude modulation virtual waveform is received through a feed detection unit in the topology unit, and the amplitude modulation load is obtained through calculation according to the deviation between the input amplitude modulation virtual waveform and the received amplitude modulation virtual waveform; the frequency modulation load detection module obtains the amplitude of the memory waveform data to generate a frequency modulation virtual waveform with the period smaller than that of the memory waveform, inputs the frequency modulation virtual waveform through the disturbance input node, receives the frequency modulation virtual waveform through a feed detection unit in the topology unit, and calculates to obtain the frequency modulation load according to the deviation between the input frequency modulation virtual waveform and the received frequency modulation virtual waveform;
the load management subsystem is configured with a load management database, the load management database stores topology unit numbers and corresponding load information, the load information is pre-configured in the load management database, the load management subsystem is configured with a load information updating module, and the load information updating module updates the load information according to the amplitude modulation load and the frequency modulation load;
the compensation execution subsystem is configured with a compensation strategy information base, the compensation strategy information base stores load conditions and corresponding compensation strategies, and when the corresponding load information accords with the load conditions, the compensation execution subsystem executes the corresponding compensation strategies to control the middle-section power station to compensate the distributed power grid.
2. An intelligent distributed power feed line detection system as claimed in claim 1, wherein: the monitoring node is further configured with a disturbance subtractor, and the disturbance subtractor configures a corresponding disturbance subtraction strategy according to the input disturbance signal to filter the disturbance signal.
3. An intelligent distributed power feed line detection system as claimed in claim 1, wherein: the feed detection unit comprises an alternating current filter, and the filtering frequency band of the alternating current filter is generated in advance according to the frequency point of the disturbance signal.
4. An intelligent distributed power feed line detection system as claimed in claim 1, wherein: the configuration subsystem comprises a switch configuration module, a disconnection node is configured between each topological unit in the distributed power grid, the disconnection node is provided with a disconnection switch, the load analysis subsystem comprises a separation module, the separation module is configured with a separation information database, the separation information database stores topological unit numbers and corresponding disconnection nodes, and the separation module retrieves the corresponding disconnection nodes according to the topological unit numbers generating fault reminding information and controls the corresponding disconnection switches to be disconnected.
5. An intelligent distributed power feed line detection system as defined in claim 4, wherein: the load analysis subsystem is configured with an analysis strategy, the analysis strategy comprises a dynamic analysis step, a static analysis step and a double-state analysis step, the dynamic analysis step comprises controlling the dynamic analysis module to work, the static analysis step comprises controlling the static analysis module to work, and the double-state analysis step comprises simultaneously controlling the dynamic analysis module and the static analysis module to work.
6. An intelligent distributed power feed line detection system as claimed in claim 1, wherein: the load management subsystem further comprises a load analysis module configured with historical load data, the load analysis module obtaining load prediction data by linearly fitting the historical load data each time load information is updated.
7. An intelligent distributed power feed line detection system as claimed in claim 1, wherein: the load management subsystem comprises a load configuration module, wherein the load configuration module is configured with a load node database, the load node database is configured with load nodes and corresponding node load data, the load nodes are corresponding to the middle-section power station, the node load data are generated according to load information and environment information corresponding to the load nodes, and the environment information reflects the environment information of the middle-section power station.
8. An intelligent distributed power feed line detection system as defined in claim 7, wherein: the node load data is of a numerical value, the load configuration module is provided with a load quantization strategy and an environment quantization strategy, the load quantization strategy configures a plurality of load deviation ranges and corresponding load deviation values, when data corresponding to load information fall into the load deviation ranges, the corresponding load deviation values are obtained, the environment quantization strategy is configured with a plurality of environment deviation ranges and corresponding environment deviation values, when data corresponding to environment information fall into the environment deviation ranges, the corresponding environment deviation values are obtained, and the node load data are obtained according to the load deviation values and the environment deviation values.
9. An intelligent distributed power feed line detection system as claimed in claim 8, wherein: the system also comprises a topology networking subsystem, when a new power supply area needs to be networked, the topology networking subsystem works, and the topology networking subsystem comprises a model configuration module, a networking simulation module and a sequence analysis module; the model configuration module builds a position relation model according to the relation between the physical position of the power supply area and the distributed power grid, and marks each electric equipment in the power supply area in the distributed power grid model, the networking simulation module obtains topological characteristics meeting the conditions, and builds a plurality of new networking topologies by using the fact that each electric equipment has at least two related requirements of the middle-section power station; the sequence analysis module is used for calculating a total load value of each networking topology, and sequencing the networking topologies according to the total load value, wherein the total load value is calculated according to a first load value and a second load value, the first load value is the sum of physical loads among all electric wires in the networking topology, and the second load value is the sum of node load data of each power-saving station.
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