CN113131617A - Intelligent distributed power utilization feeder line detection system - Google Patents
Intelligent distributed power utilization feeder line detection system Download PDFInfo
- Publication number
- CN113131617A CN113131617A CN202110494679.4A CN202110494679A CN113131617A CN 113131617 A CN113131617 A CN 113131617A CN 202110494679 A CN202110494679 A CN 202110494679A CN 113131617 A CN113131617 A CN 113131617A
- Authority
- CN
- China
- Prior art keywords
- load
- disturbance
- module
- topology
- subsystem
- 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
- 238000001514 detection method Methods 0.000 title claims abstract description 64
- 238000004458 analytical method Methods 0.000 claims abstract description 83
- 238000012544 monitoring process Methods 0.000 claims abstract description 57
- 230000006855 networking Effects 0.000 claims description 37
- 238000004422 calculation algorithm Methods 0.000 claims description 12
- 230000003068 static effect Effects 0.000 claims description 12
- 238000000926 separation method Methods 0.000 claims description 10
- 238000004088 simulation Methods 0.000 claims description 10
- 238000012300 Sequence Analysis Methods 0.000 claims description 8
- 230000007613 environmental effect Effects 0.000 claims description 8
- 238000001914 filtration Methods 0.000 claims description 4
- 238000011002 quantification Methods 0.000 claims 5
- 230000006870 function Effects 0.000 abstract description 11
- 230000002159 abnormal effect Effects 0.000 abstract description 5
- 238000012423 maintenance Methods 0.000 abstract description 2
- 230000008439 repair process Effects 0.000 abstract description 2
- 238000013139 quantization Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 238000000638 solvent extraction Methods 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 206010033799 Paralysis Diseases 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000003094 perturbing effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
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
- 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
-
- 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]
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention relates to an intelligent distributed power utilization feeder line detection system which is configured in a distributed power grid, wherein the distributed power grid comprises a plurality of power supply ends, middle-section power passing stations and power utilization ends, each power utilization end at least corresponds to two middle-section power passing stations, and each middle-section power passing 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 functions can be achieved 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 automatically shared for detection, the power supply burden of a certain middle node station in the distributed unit is judged, power supply compensation is carried out simultaneously, the power supply efficiency is improved, and if abnormal conditions occur in the power grid, the power grid can be found in advance for repair and maintenance.
Description
Technical Field
The invention relates to the technical field of power supply, in particular to an intelligent distributed power feeder detection system.
Background
At present, a power grid system is mainly responsible for power supply and power consumption management of each power consumption management area, and specifically has a power module management function, a line loss module function, a protection function, a fixed-point recording function and a wave recording function. The stability and the safety of a power grid system are always key factors for management and maintenance of technical personnel in the technical field, when one node of a power supply system is in a problem, the use of electric energy of the whole area and subsequent nodes is influenced, so that daily monitoring is very important content, and when a line is used, the power supply risk is caused by aging and damage of environmental problems or the influence of node power supply quality and disturbance factors, so that the power supply quality needs to be detected, but the current detection mode has low precision, real-time inspection and difficulty in early warning and finding of power supply quality problems.
Disclosure of Invention
In view of the above, the present invention provides an intelligent distributed power feeder detection system to solve the above problems.
In order to solve the technical problems, the technical scheme of the invention is as follows: an intelligent distributed power utilization feeder detection system is configured in a distributed power grid, wherein the distributed power grid comprises a plurality of power supply ends, middle-section power passing stations and power utilization ends, each power utilization end at least corresponds to two middle-section power passing stations, and each middle-section power passing 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 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 topology connection relations between intermediate-section power passing stations and between the intermediate-section power passing stations and power supply terminals;
the fault monitoring subsystem comprises a disturbance generating module, a disturbance monitoring module and a monitoring quantity analyzing module; the disturbance generation module is configured with a disturbance topology database, the disturbance topology database is configured with topology characteristics and corresponding disturbance information, the topology characteristics 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 characteristics, and the disturbance generation module acquires the corresponding disturbance information according to the topology characteristics corresponding to the topology units to generate monitoring commands; the disturbance monitoring module controls a corresponding disturbance input unit in the topology unit 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, the disturbance monitoring module 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 is configured with a physical threshold value generation algorithm, and the physical threshold value generation algorithm is used for outputting a fault reminding signal by the fault monitoring subsystem when the disturbance deviation value is greater than the physical threshold value according to the physical threshold value corresponding to the distributed power grid;
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 topological unit number and corresponding memory waveform data, the topological unit number is correspondingly set according to a topological unit, the memory waveform data reflects historical waveforms of the topological unit, and the amplitude modulation load detection module acquires the corresponding memory waveform data according to the number corresponding to the topological unit; the amplitude modulation load detection module acquires the period and the 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 and received through the feed detection unit in the topology unit, and the amplitude modulation load is obtained through calculation according to the deviation of the input amplitude modulation virtual waveform and the received amplitude modulation virtual waveform; the frequency modulation load detection module acquires the amplitude of the memory waveform data to generate a frequency modulation virtual waveform with a period smaller than that of the memory waveform, inputs the frequency modulation virtual waveform through the disturbance input node and receives the frequency modulation virtual waveform through the feed detection unit in the topology unit, and calculates to obtain a frequency modulation load according to the deviation of 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 topological 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 also provided with a disturbance subtracter, and the disturbance subtracter is configured with a corresponding disturbance subtraction strategy according to the input disturbance signal so as to filter the disturbance signal.
Further, the feeder line detection unit includes an ac filter, and a filtering frequency band of the ac filter is generated in advance according to a frequency point of the disturbing 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 a topological unit number and a corresponding disconnection node, and the separation module calls the corresponding disconnection node according to the topological unit number generating the fault reminding information and controls the corresponding disconnection switch to be disconnected.
Further, the load analysis subsystem is configured with an analysis policy, the analysis policy includes a dynamic analysis step, a static analysis step and a two-state analysis step, the dynamic analysis step includes controlling the dynamic analysis module to operate, the static analysis step includes controlling the static analysis module to operate, and the two-state analysis step includes controlling the dynamic analysis module and the static analysis module to operate simultaneously.
Further, the load management subsystem further comprises a load analysis module, the load analysis module is configured with historical load data, and the load analysis module obtains load prediction data by linearly fitting the historical load data each time load information is updated by the historical load data.
Further, the load management subsystem includes 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 set corresponding to the middle-section power station, the node load data is generated according to load information corresponding to the load nodes and environment information, and the environment information reflects environment information of the middle-section power station.
Furthermore, 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, the corresponding load deviation values are obtained when the data corresponding to the load information fall into the load deviation ranges, the environment quantization strategy configures a plurality of environment deviation ranges and corresponding environment deviation values, the corresponding environment deviation values are obtained when the data corresponding to the environment information fall into the environment deviation ranges, and the node load data is obtained according to the load deviation values and the environment deviation values in a quantization mode.
The system further comprises a topology networking subsystem, wherein when a new power supply area needs networking, the topology networking subsystem works and comprises a model configuration module, a networking simulation module and a sequence analysis module; the model configuration module constructs a position relation model according to the relation between the physical position of a power supply area and a distributed power grid, and calibrates each electric device in the power supply area in the distributed power grid model, the networking simulation module obtains topological characteristics meeting the conditions, and constructs a plurality of new networking topologies according to the condition that each electric device at least has two associated middle section power station positions; 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, the total load value is obtained by calculation according to a first load value and a second load value, the first load value is the sum of physical loads between each power utilization line in the networking topology, and the second load value is the sum of node load data of each middle-level power station.
The technical effects of the invention are mainly reflected in the following aspects: through setting up like this, can play an intelligent analysis and function of management to whole distributed power network, predict the offset value in advance, if the offset value exceeds the ideal situation, can share the power supply network by oneself and detect, judge the power supply burden that a certain well node crosses the station in this distributed unit, supply power compensation simultaneously, improve power supply efficiency, and if the abnormal conditions also can discover in advance in the electric wire netting, repair and maintain.
Drawings
FIG. 1: the invention discloses a distributed power grid principle topological graph of an intelligent distributed power utilization feeder detection system;
FIG. 2: the invention discloses a subsystem architecture schematic diagram of an intelligent distributed power feeder detection system;
FIG. 3: the configuration subsystem architecture diagram of the intelligent distributed power utilization feeder detection system is disclosed;
FIG. 4: the invention relates to a fault monitoring subsystem architecture diagram of an intelligent distributed power utilization feeder line detection system;
FIG. 5: the invention discloses a load analysis subsystem architecture diagram of an intelligent distributed power utilization feeder line detection system;
FIG. 6: the invention discloses a load management subsystem architecture diagram of an intelligent distributed power feeder detection system;
FIG. 7: the invention discloses a topology networking subsystem architecture diagram of an intelligent distributed power feeder detection system.
Reference numerals: 10. a power supply terminal; 20. a middle section power station; 30. a power utilization end; 100. configuring a subsystem; 110. a monitoring configuration module; 111. monitoring the nodes; 120. a disturbance configuration module; 121. disturbing an input node; 130. a topology division 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. perturbing the topology database; 220. a disturbance monitoring module; 230. a monitoring amount analysis module; 300. a load analysis subsystem; 310. a waveform acquisition module; 311. memorizing a waveform database; 320. an amplitude modulation load detection module; 330. a frequency modulation load detection module; 340. a compartmentalization module; 341. partitioning the 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 policy information base; 600. a topology networking subsystem; 610. a model configuration module; 620. a networking simulation module; 630. and a sequence analysis module.
Detailed Description
The following detailed description of the embodiments of the present invention is provided in order to make the technical solution of the present invention easier to understand and understand.
An intelligent distributed power utilization feeder 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 passing stations 20 and power utilization ends 30, each power utilization end 30 at least corresponds to two middle-section power passing stations 20, and each middle-section power passing 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, and may be a primary power supply station or a secondary power supply station, and the power consumption terminal 30 is not only a consumer terminal that only uses electricity, as shown in fig. 1, the number of stages of each power supply network is different, the present invention is only used for monitoring the electricity consumption performance of the networking part of the three-stage power supply network, if there are 7-stage power supply systems in one power supply network, as long as any of them can form the three-stage power supply system of the topology logic of distributed power supply, the feed detection system of the present invention can be applied, and the three-stage power supply system, for example, the 1-stage power supply station supplies power to the 2-stage power supply station and the 3-stage power supply station, the 2-stage power supply station and the 3-stage power supply station supply power to the 4-stage power supply station, then the 1-stage power supply station forms the power supply terminal 10, the 2, however, it is also sufficient that each of the 2-stage power supply stations and the 3-stage power supply stations has at least two 1-stage power supply stations for supplying power thereto, and each of the 4-stage power supply stations has at least two 2-stage power supply stations and at least two 3-stage power supply stations for supplying power thereto.
The intelligent distributed power 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 include topology connection relationships between intermediate-section power stations 20 and power supply terminals 10, and specific topology relationships may refer to diagrams, such as several inputs and several outputs; firstly, a configuration subsystem 100 is provided, the configuration word system is mainly used for managing the topological relation among all the sites in the power grid, and simultaneously configuring the corresponding node distribution, such as the nodes for monitoring the electric energy and the nodes for inputting disturbance information, and the independent setting of the configuration system has the advantages that when any node in the configuration system is subjected to networking and networking, the configuration subsystem 100 can independently adjust the change of the network topology, the configuration subsystem 100 also has the functions of verification and secondary safety management, the verification function is to ensure that the change of the network topology must accord with the logic of the distributed power grid each time, the isolation of the nodes receiving power supply is avoided, the secondary safety management function is to ensure that the configuration subsystem 100 can carry out safety analysis in advance before executing the strategy of other systems each time, and the execution of the strategy can be allowed under the condition that other nodes operate normally, the safety of the whole detection system is improved. The configuration subsystem 100 includes a switch configuration module 140, a disconnection node 141 is configured between each topology unit 131 in the distributed power grid, the disconnection node 141 is provided with a disconnection switch, the load analysis subsystem 300 includes a partitioning module 340, the partitioning module 340 is configured with a partitioning information database 341, the partitioning information database 341 stores the number of the topology unit 131 and the corresponding disconnection node 141, and the partitioning module 340 calls the corresponding disconnection node 141 according to the number of the topology unit 131 generating the fault reminding information and controls the corresponding disconnection switch to be disconnected. Through the setting of the switch, when the topology is abnormal, the power supply can be cut off, so that firstly, due to the distributed control system, the operation of a lower circuit is not influenced when the switch is cut off, and the same-level circuit is electrified for a short time, and the topology can be simulated.
The fault monitoring subsystem 200 comprises a disturbance generating module 210, a disturbance monitoring module 220 and a monitoring quantity analyzing module 230; the disturbance generation module 210 is configured with a disturbance topology database 211, the disturbance topology database 211 is configured with topology features and corresponding disturbance information, the topology features reflect a topology connection relationship in the distributed power grid, the disturbance information includes 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 features, and the disturbance generation module 210 acquires the corresponding disturbance information according to the topology features corresponding to the topology units 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 which 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, where the physical threshold generation algorithm is used to output a fault reminding signal when the disturbance deviation value is greater than the physical threshold according to the physical threshold corresponding to the distributed power grid; firstly, the disturbance generating module 210 needs to generate disturbance information, the disturbance information is used for detecting power supply quality when the disturbance information is disturbed, because normal power supply cannot know a starting point of abnormal conditions in a topology, because deviation of the disturbance in the power supply process has a filtering effect, if the abnormal conditions occur, analysis is difficult, a large number of monitoring nodes 111 need to be arranged, and the cost is high, in the scheme, the power supply quality of the whole power grid is analyzed by adding a disturbance mode, but at the moment, a problem exists, because adding a disturbance needs to consider topology conditions of the power grid, if the disturbance is added without considering the conditions of the power grid, the disturbance can cause safety problems of the power grid, which is also a reason that no disturbance is arranged in the existing power grid detecting system, because if the disturbance occurs, the whole power supply system is failed or paralyzed, the method is irretrievable, so that disturbance information which can be used is different according to each topological connection relation, a characteristic diagram of each topological structure capable of reflecting the topological connection relation is firstly established in advance, then disturbance simulation which can be carried out under each topological characteristic structure is configured according to analysis, a database is established according to the information, the disturbance simulation is input according to a pre-configured result, the disturbance information comprises a disturbed node and a disturbed type, then a disturbance signal is input into the power grid through a disturbance input unit, the disturbance analysis can be carried out according to the condition that the disturbance signal is received by the disturbance monitoring module 220, theoretically, the disturbance can be absorbed and corrected by the power grid, the waveform is normal, if the actually occurred disturbance deviation value is larger, the deviation is more than expected, and at the moment, whether the power grid has a problem needs to be detected or not, the monitoring quantity analysis module 230 is mainly configured to generate a physical threshold, where the physical threshold is related to the line service time, the line material type, and the like, and is generated through a conversion table, where in this way, the influence of the physical factors such as the line service time, the line material, the transmission distance, and the like on the whole deviation is corrected through a physical threshold mode, and for example, when the line service time is long and the line material is poor, the corresponding physical threshold is small, and if the deviation exceeds the threshold, the disturbance resistance of the part is poor, once the disturbance occurs, the subsequent power supply quality may be reduced, and at this time, a fault early warning signal is generated, so that the whole system enters a load analysis function. The monitoring node 111 is further configured with a disturbance subtractor, and the disturbance subtractor is configured with a corresponding disturbance subtraction strategy according to an input disturbance signal to filter the disturbance signal. Therefore, the influence of the disturbance signal on a 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 simulating the compensation waveform, so that the disturbance can be triggered without influencing the subsequent circuit. The feeder line 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 disturbing signal. Because the frequency band of actual power supply is different from the disturbing signal, and the frequency point of the disturbing signal is known, the frequency point of the corresponding alternating current filter can be configured simultaneously when the disturbing signal is generated, so that only the disturbing signal can be captured, and the running efficiency of the power grid is improved by the way of dynamic configuration.
The load analysis subsystem 300 comprises 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 number of a topology unit 131 and corresponding memory waveform data, the number of the topology unit 131 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 the corresponding memory waveform data according to the number corresponding to the topology unit 131; the amplitude modulation load detection module 320 acquires the period and the waveform characteristics of the memory waveform data to generate an amplitude modulation virtual waveform with the 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 the feed detection unit in the topology unit 131, and calculates to obtain an amplitude modulation load according to the deviation between the input amplitude modulation virtual waveform and the received amplitude modulation virtual waveform; the frequency modulation load detection module 330 acquires the amplitude of the memory waveform data to generate a frequency modulation virtual waveform with a period smaller than that of the memory waveform, inputs the frequency modulation virtual waveform through the disturbance input node 121, receives the frequency modulation virtual waveform through the feed detection unit in the topology unit 131, and calculates to obtain a frequency modulation load according to the deviation between the input frequency modulation virtual waveform and the received frequency modulation virtual waveform; firstly, the waveform acquisition module 310, the load analysis subsystem 300 records the waveform passed by each node, namely the waveform passed by the node, the waveform is stored in a data form, then the simulation is carried out through two forms of amplitude modulation and frequency modulation, firstly, the amplitude modulation is carried out, namely, the waveform is not changed, the amplitude is adjusted, then, the waveform is input through the disturbance input node 121, the influence of the topological unit 131 on the waveform can be detected through detection logic, on the other hand, the influence of the topological unit 131 on the amplitude can be judged through the mode of adjusting the frequency not changed amplitude, so that the reason of the influence on the result can be obtained through dynamic judgment, and the corresponding load value is generated, and the specific value is obtained by selecting the area equal proportion of the deviation between two standard waveforms and the received waveform to obtain the corresponding value, this value reflects the overall deviation value.
The load management subsystem 400 is configured with a load management database 401, the load management database 401 stores the number of the topology unit 131 and corresponding load information, the load information is configured in the load management database 401 in advance, 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 of each topology unit 131, synchronously updating the load information through load detection, wherein the load information shows a standard formed by a reference parameter, and determining the load information through an algorithm of cross multiplication of vertical vectors of amplitude modulation and frequency modulation loads by the load information updating module 410. The load management subsystem 400 further includes a load analysis module configured with historical load data that records load information each time the load information is updated, the load analysis module obtains load prediction data by linearly fitting the historical load data. By recording the historical load data at each time, the historical 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, 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 set corresponding to the middle-level power plant 20, the node load data is generated according to load information corresponding to the load nodes and environment information, and the environment information reflects environment information of the middle-level power plant 20. By means of the setting, the load node database is generated according to the current environment information, the current environment information can be corresponding temperature and humidity condition information and the like, node load data are generated through the load information and the environment information because the bearing values of loads under different conditions are different, and specifically, a load data comparison table related to the load information can be established through the environment information, for example, under different environments, the load information generates corresponding data values and is configured through analysis in advance, and then the data of the corresponding load data comparison table is called through the comparison table according to the actual environment 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 strategy and an environment quantization strategy, the load quantization strategy configures a plurality of load deviation ranges and corresponding load deviation values, a corresponding load deviation value is obtained when data corresponding to the load information falls into the load deviation ranges, the environment quantization strategy configures a plurality of environment deviation ranges and corresponding environment deviation values, a corresponding environment deviation value is obtained when data corresponding to the environment information falls into the environment deviation ranges, and the node load data is obtained by quantization 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 the corresponding load information meets the load conditions, the compensation execution subsystem 500 executes the corresponding compensation policies to control the middle-level power transmission station 20 to compensate the distributed power grid. The purpose of setting the compensation strategy is to compensate the influence caused by line loss in the power grid through the middle-section power passing station 20, so that the power quality can be ensured, and the bearing and 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 two-state 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 two-state analysis step includes simultaneously controlling the dynamic analysis module and the static analysis module to work.
The topology networking subsystem 600 is used for operating when a new power supply area needs networking, and 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 position relation model according to the relation 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, and the networking simulation module 620 obtains topological characteristics meeting the conditions and builds a plurality of new networking topologies by using the 20-bit necessary condition that each electric device at least has two associated middle-section power passing stations; 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 power utilization line in the networking topology, and the second load value is a sum of node load data of each intermediate-stage power station 20. Firstly, a model is established, because the position of each electric device in physical relation is known, the information of cost, line length, material and the like of the actually generated erection circuit is determined through the known quantity, so that a relation model can be obtained, then the position of each electric device is passed through, all possible topology combinations are simulated, namely the connection relation between the power supply terminal 10 and the intermediate power station 20 in the power supply area, so that a plurality of networking topologies are formed, of course, the networking topologies are not actually obtained, therefore, the influence value, specifically the burden value, which is generated if the networking topology is advanced, can be calculated through the sequence analysis module 630, the topology relation model which is required if a new power supply area is networked can be judged through the mode of calculating the burden value, and the total burden value is obtained through the calculation of the first burden value and the second burden value, and the specific formula is not limited, according to actual requirements and situations, the first burden value is information of physical burden, namely line length, erection cost and the like, the second burden value is actual burden, namely burden situation which can theoretically occur after erection is completed, the final optimal scheme is obtained through calculation of the two burden values, and reliability of the scheme is improved.
The above are only typical examples of the present invention, and besides, the present invention may have other embodiments, and all the technical solutions formed by equivalent substitutions or equivalent changes are within the scope of the present invention as claimed.
Claims (9)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110494679.4A CN113131617B (en) | 2021-05-07 | 2021-05-07 | Intelligent distributed power utilization feeder line detection system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110494679.4A CN113131617B (en) | 2021-05-07 | 2021-05-07 | Intelligent distributed power utilization feeder line detection system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113131617A true CN113131617A (en) | 2021-07-16 |
CN113131617B CN113131617B (en) | 2024-04-12 |
Family
ID=76781404
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110494679.4A Active CN113131617B (en) | 2021-05-07 | 2021-05-07 | Intelligent distributed power utilization feeder line detection system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113131617B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118091401A (en) * | 2024-04-29 | 2024-05-28 | 江苏大全凯帆开关股份有限公司 | Breaker fault detection method and system based on multi-source sensor |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014090018A1 (en) * | 2012-12-12 | 2014-06-19 | 天津市电力公司 | Iec61850 standard-based intelligent power distribution terminal |
CN107069808A (en) * | 2017-03-28 | 2017-08-18 | 中国电力科学研究院 | A kind of new energy power station model error localization method and device |
CN107681645A (en) * | 2017-11-23 | 2018-02-09 | 国网河南省电力公司信息通信公司 | A kind of distributed self-healing control method based on feeder line topology automatization terminal |
CN109256792A (en) * | 2018-10-10 | 2019-01-22 | 华南理工大学 | A kind of the energy storage stacking system and its optimization method of Based on Distributed energy storage demand |
WO2020171814A1 (en) * | 2019-02-21 | 2020-08-27 | General Electric Company | Event selection for power grid disturbance |
-
2021
- 2021-05-07 CN CN202110494679.4A patent/CN113131617B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014090018A1 (en) * | 2012-12-12 | 2014-06-19 | 天津市电力公司 | Iec61850 standard-based intelligent power distribution terminal |
CN107069808A (en) * | 2017-03-28 | 2017-08-18 | 中国电力科学研究院 | A kind of new energy power station model error localization method and device |
CN107681645A (en) * | 2017-11-23 | 2018-02-09 | 国网河南省电力公司信息通信公司 | A kind of distributed self-healing control method based on feeder line topology automatization terminal |
CN109256792A (en) * | 2018-10-10 | 2019-01-22 | 华南理工大学 | A kind of the energy storage stacking system and its optimization method of Based on Distributed energy storage demand |
WO2020171814A1 (en) * | 2019-02-21 | 2020-08-27 | General Electric Company | Event selection for power grid disturbance |
Non-Patent Citations (1)
Title |
---|
李京平;蔡志平;姜绍艳;: "基于全负荷开关组网多种运行模式的电力网络系统", 南方能源建设, no. 04, 25 December 2019 (2019-12-25) * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN118091401A (en) * | 2024-04-29 | 2024-05-28 | 江苏大全凯帆开关股份有限公司 | Breaker fault detection method and system based on multi-source sensor |
CN118091401B (en) * | 2024-04-29 | 2024-09-03 | 江苏大全凯帆开关股份有限公司 | Breaker fault detection method and system based on multi-source sensor |
Also Published As
Publication number | Publication date |
---|---|
CN113131617B (en) | 2024-04-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9590426B2 (en) | System and method for managing a power distribution system | |
EP2412074B1 (en) | Systems and methods for predicting power electronics failure | |
EP1976177B1 (en) | Substation automation system with increased availability | |
CN102239645B (en) | Electrical power network management method and device | |
AU2017383991B9 (en) | Method for structuring an existing grid for distributing electric energy | |
CN108957230A (en) | A kind of Fault Diagnosis Method for Distribution Networks and system based on layering timing sequence adaptive fuzzy H net | |
CN113131617A (en) | Intelligent distributed power utilization feeder line detection system | |
Latipov et al. | Calculation of reliability indicators of power supply systems of consumers | |
Davidson et al. | The use of constraint programming for the autonomous management of power flows | |
Kamps et al. | Reliability of decentralized network automation systems and impacts on distribution network reliability | |
CN118472937A (en) | Main-distribution cooperative power grid power supply recovery method and device | |
CN111898264A (en) | Power distribution automation field test method and system based on case prefabrication | |
Falahati et al. | Evaluating the differences between direct and indirect interdependencies and their impact on reliability in cyber-power networks | |
Li et al. | Reliability evaluation of multiple substations with distribution networks | |
CN115735308A (en) | System and method for optimizing switching states of switching devices of an electrical distribution configuration assembly | |
EP4589806A1 (en) | An operation method for electrical distribution systems | |
Yang et al. | Impact evaluation of IEC 61850 process bus architecture on numerical protection systems | |
CN113346493A (en) | Optimal scheduling method for power distribution network terminal power quality management cluster system | |
Anombem | Evaluation of IEC 61850 process bus architecture and reliability | |
CN117335578B (en) | A detection and control system for closed-loop power transfer in low-voltage power distribution | |
Liu et al. | Risk assessment of a generator rejection scheme implemented in a wind farm | |
CN120049623B (en) | JP cabinet fault warning method, device, equipment and storage medium | |
CN119994813B (en) | A method for intelligent power distribution hierarchical self-healing fault isolation and power supply restoration | |
Zhang et al. | Hierarchical Modeling of Cyber-physical Power System for State Evolution Analysis | |
Knorr et al. | Skill-Based Engineering for the Description and Mapping of Smart Grid Applications |
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 |