CN116599073A - Intelligent load batch control method and system based on multi-strategy fusion automatic search - Google Patents
Intelligent load batch control method and system based on multi-strategy fusion automatic search Download PDFInfo
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Classifications
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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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
- H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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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
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Abstract
The invention discloses an intelligent load batch control method and system based on multi-strategy fusion automatic search, wherein when power grid equipment fails and load shedding is needed, the method searches and checks all loads at the downstream of the equipment and corresponding breaker combinations, combines real-time controllable load capacity of each subarea and real-time controllable total load of the downstream of out-of-limit equipment, distributes a total load control target to each subarea, and calculates the load shedding target quantity of each subarea; sequentially selecting a load and a breaker from the load and breaker sequence, so that the sum of the selected loads and the total target deviation of the load control are minimum, and obtaining a final load line selection result; the automatic topology generation method is tightly combined with the real-time power grid running state and is combined with the load with high fault matching precision, a load batch control scheme meeting partition load balancing is further generated, accuracy and reliability are met, and support is provided for load control in large-area fault rapid treatment of the power grid.
Description
Technical Field
The invention belongs to the field of power dispatching automation, and particularly relates to an intelligent load batch control method and system based on multi-strategy fusion automatic search.
Background
With the rapid construction of the China extra-high voltage alternating current and direct current hybrid power grid, the form and the operation characteristics of the power grid are deeply changed, and the dispatching operation of the power grid faces a great challenge. On one hand, the ultra-high voltage high-capacity centralized feed-in is realized, the receiving end regional power grid has dense receiving direct current falling points, the alternating current-direct current coupling is gradually compact, once faults such as ultra-high voltage direct current bipolar locking and the like occur, the serious unbalance of the power of the receiving end power grid can be caused, the frequency of the power grid can be rapidly reduced, and the emergency load control capability needs to be improved; on the other hand, since 2022 was entered into summer, the electricity generation capacity of water and electricity was drastically reduced due to the sudden increase of electricity load of high Wen Shaoyu in the province of Sichuan and the like, and the power gap was large, so that the power supply and demand were seriously unbalanced. In addition, the power load is increased sharply, so that overload and line out-of-limit phenomena frequently occur in the main transformer of the transformer substation. Therefore, the real-time load characteristics and dynamic partitioning of the power grid are considered fully, the optimal decomposition and the accurate control of the load shedding target are realized, the load shedding range is reduced to the maximum extent, and the orderly power utilization load regulation and control capability is supported.
Currently, when the power supply is in tension or necessary to ensure the safe and stable operation of the power grid, a power grid dispatcher selects a control object according to a preset plan and refers to a power limiting sequence table to implement technical limit for load shedding operation. The complex and changeable power grid operation modes and the difficulty in predicting the power consumption load make it difficult to meet the requirement of quickly and accurately recovering the power supply and demand balance support ordered power consumption by emergency load reduction by simply relying on a dispatcher to set the line selection strategy of a control plan in advance; in addition, the combination of the pre-established plans and the real-time power grid running state is not tight enough, after the fault occurs, the matching precision with the fault is not high, the effective plans are difficult to match timely and accurately, and the maintenance workload is huge.
Disclosure of Invention
The invention aims to: the invention aims to provide an intelligent load batch control method which is high in accuracy and meets partition load balancing, and a second aim of the invention is to provide an intelligent load batch control system which is high in accuracy and meets partition load balancing.
The technical scheme is as follows: the intelligent load batch control method based on multi-strategy fusion automatic search comprises the following steps:
(1) When power grid equipment fails and load removal is needed, searching all loads and corresponding breaker combinations at the downstream of the equipment, and checking the searched loads and breaker combinations;
(2) The method comprises the steps of performing descending order sequencing on load and breaker combinations according to the magnitude of active change values of a transformer according to load power to obtain a load and breaker sequence;
(3) According to a real-time running mode of the power grid, combining real-time controllable load capacity of each subarea and the total real-time load controllable quantity of downstream of the out-of-limit equipment, distributing a total load control target to each subarea, and calculating a load cut-off target quantity of each subarea;
(4) Sequentially selecting at least one load and a corresponding breaker from the load and breaker sequence according to the load cut-off target amount of each sub-area, so that the sum of the selected loads and the total target deviation of the load control are minimum; traversing all the subareas to obtain a final load line selection result, and executing corresponding load cutting operation.
Further, the step (1) specifically includes: acquiring all loads and corresponding breaker combinations at the downstream of the equipment through a main-distribution integrated topology autonomous identification search algorithm, comparing and checking the searched loads and corresponding breaker combinations through a shortest path topology search method, and eliminating inconsistent loads and breakers; the main-distribution integrated topology autonomous identification search algorithm is used for identifying all loads and corresponding breaker combinations at the downstream of equipment by adopting a depth-first topology search method based on state estimation data.
Further, before the step (2), the method further comprises: preprocessing the load according to the real-time load user attribute, the power grid area range, the security load and the switch state, and filtering the load divided into the folk load, the important user and the corresponding switch position.
Further, the step (3) specifically includes: the i-th sub-region-allocated load shedding target amount p i ＝p×r i Where p is the overall target of load control, r i The load control proportion of the real-time load controllable total amount of the downstream of the out-of-limit equipment occupied by the ith sub-area,p c，i the maximum real-time controllable capacity of the ith sub-area is k, which is the number of sub-areas.
Further, the step (4) specifically includes:
(4.1) each load and corresponding breaker in the load and breaker sequence corresponds to one controllable line, and m controllable lines contained in each sub-area i form a controllable line sequence;
(4.2) selecting a j-th controllable line from the controllable line sequence to enable the j-th controllable line to be not smaller than the load cutting target quantity of the subarea i, if the sum of the cutting loads of the j-th controllable line is equal to the load cutting target quantity of the subarea i, the load line selection result of the subarea i is the j-th controllable line, executing the step (4.4), otherwise executing the step (4.3);
(4.3) reserving the front j-1 controllable lines, selecting the s-th controllable line from the rest m-j+1 controllable lines, so that the deviation between the sum of the tangential loads of the front j-1 controllable lines and the s-th controllable line and the load cutting target quantity of the subarea i is minimum, and the load line selection result of the subarea i is the front j-1 controllable line and the s-th controllable line;
and (4.4) carrying out load line selection on all the subareas according to the steps (4.1) to (4.3) to obtain a final load line selection result.
Further, the step (4) of traversing all the sub-areas, after obtaining the final load line selection result, further includes: and generating a plan sequence from the load line selection result, and displaying the line selection result in real time through a human-computer interface. Traversing all equipment of a power grid, searching the controllable load of the whole grid by using a topology analysis algorithm of the power system based on an attribute graph, generating a line selection result of the load of the whole grid according to the steps (1) to (4), and executing corresponding load cutting operation.
The invention discloses an intelligent load batch control system based on multi-strategy fusion automatic search, which comprises the following components:
the load searching and checking module is used for searching all loads and corresponding breaker combinations at the downstream of the equipment when the power grid equipment fails and load cutting is needed, and checking the searched loads and breaker combinations;
the load sequencing module is used for sequencing the combination of the load and the circuit breaker in descending order according to the magnitude of the active change value of the transformer according to the load power to obtain a load and circuit breaker sequence;
the regional load shedding target distribution module is used for distributing a total load control target to each subarea according to a real-time running mode of the power grid by combining real-time controllable load capacity of each subarea and the total real-time load controllable amount of downstream of the out-of-limit equipment, and calculating the load shedding target amount of each subarea;
the load line selection module is used for sequentially selecting at least one load and a corresponding breaker from the load and breaker sequence according to the load cut-off target quantity of each sub-area, so that the sum of the selected loads and the total target deviation of the load control are minimum; traversing all the subareas to obtain a final load line selection result, and executing corresponding load cutting operation.
The electronic equipment comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the intelligent load batch control method based on multi-strategy fusion automatic search is realized when the computer program is loaded to the processor.
The computer readable storage medium of the invention stores a computer program which when executed by a processor realizes the intelligent load batch control method based on multi-strategy fusion automatic search.
The beneficial effects are that: compared with the prior art, the invention has the advantages that: (1) Maintaining load priority (load control round) in consideration of load importance level (load user attribute, electricity characteristics); the load control plan sequence of multiple rounds can be selected according to different control strategies, so that the load removal speed is greatly improved, and the power grid load is rapidly reduced; (2) The load in the power supply range of different control objects such as main transformer, line, section and the like is automatically identified through a load automatic search mechanism, the load search accuracy is improved by adopting a multi-strategy automatic search result mutual checking mode, the bilateral topology checking requirement is met, the automatic topology is generated into an effective plan which is tightly combined with the running state of a real-time power grid and has high matching accuracy with faults, and the maintenance workload of operation and maintenance personnel and the error risk of manual operation are greatly reduced; (3) The optimal decomposition of the load cutting target is realized by adopting a differential capacity balancing strategy and a multi-target fusion line selection strategy, so that the optimal decomposition of the load cutting target is realized, the load batch control accuracy and reliability are further ensured, and the short plates which are pre-defined by a dispatcher are solely relied on by the load side control line selection strategy; (4) The system adopts a mode of concurrent and same-station sequential execution of multiple stations to carry out full-network load cutting operation, so that powerful data support can be provided for users responsible for dynamic load adjustment, and an important technical means is provided for load control in large-area fault quick treatment of a power grid.
Drawings
FIG. 1 is a block diagram of an intelligent load batch control method of the present invention.
FIG. 2 is a flow chart of the intelligent load batch control method of the present invention.
Detailed Description
The technical scheme of the invention is further described below with reference to the accompanying drawings.
As shown in fig. 1 and fig. 2, the intelligent load batch control method based on multi-strategy fusion automatic search includes the following steps:
(1) Load automatic search
When faults such as overload or out-of-limit faults of main transformer, lines or sections occur and load removal is needed, all loads of 10kV voltage levels and corresponding breaker combinations (loads and breakers are in one-to-one correspondence) at the downstream of selected equipment, and load user attributes (factories and folk life) and electricity utilization characteristics (time) are obtained through a main-distribution integrated topology autonomous identification search algorithm.
The main-distribution integrated power supply path searching method is to automatically identify (switch switching positions or other modes) all loads downstream of a certain device and corresponding circuit breakers, such as loads of 10kV voltage levels, based on state estimation data by using a depth-first topology searching method, and identify corresponding load user characteristics of the 10kV voltage levels according to the power utilization attributes and load characteristics of branch switches in a distribution network system.
(2) Multi-strategy checking
And (3) performing reverse topology checking on the load-breaker combination obtained in the step (1) by adopting a SCADA control strategy, namely searching loads supplied by out-of-limit equipment and controllable switches thereof by adopting a shortest path topology searching method based on the SCADA equipment model and measurement data, performing comparison checking on the searching result in the step (1), removing inconsistent load-breaker combinations, displaying the topology checking result, meeting the requirement of bilateral topology checking, and improving the reliability of the intelligent load batch control scheme.
(3) Load screening pretreatment
Preprocessing loads based on the real-time load user attribute, the regional range (preset according to the node or the user authority), the security load, the switch state and other conditions obtained in the step (1), and filtering the civil load, the important users and the corresponding switch positions into uncontrollable loads such as scores.
Load user attributes: the user type of electricity is typically industrial users (light industry and heavy industry), public facilities users (administrative office, cultural entertainment, sports, education and scientific research, medical and health and business), and resident users.
Electrical characteristics: the electric characteristics of the user electric load, the importance degree of the electric load, the electric time, the occasion, the purpose, the answering power failure time and the like of the electric load are indicated. The different characteristics of electricity consumption have different requirements and influences on the power supply quality, and the positions of the characteristics of electricity consumption and the influences on the power supply quality are different in the power grid electricity consumption load curve.
Regional scope: the power grid region is divided according to administrative boundaries, the power supply region is an important basis for the differential planning of the power distribution network and is used for determining the planning and construction standard of the power distribution network in the region, and the tight combination of the jurisdiction range of each level of power supply enterprises and the current power grid is fully considered in the power supply region division.
Security load: the minimum electric power required by the safety of places, persons and property is used for guaranteeing the electricity utilization.
(4) Load ordering
The method comprises the steps of sequencing load-breaker combinations under each control round according to sensitivity descending order based on sensitivity information of active changes of a transformer by load power to generate a load-breaker sequence;
acquiring a line selection sequence with high contribution to restoring normal operation of a power grid and supply-demand balance; when the control turns are selected, the current turn and the previous turns are included, and the turn cannot be skipped.
(5) Automatic allocation of load zone ablation targets
And automatically setting target values of each sub-region according to the region to which the load belongs, and supporting manual modification. According to a real-time running mode of the power grid, the load control total target is optimized and decomposed according to the real-time load controllable capacity of each subarea and the total amount of the downstream real-time load controllable of the out-of-limit equipment by combining two calculation dimensions of the real-time controllable load capacity of each subarea by means of a differential capacity balancing strategy, and the load amount distributed to each subarea is calculated comprehensively, so that the load balancing of the subareas is realized. Whether automatically calculated or manually set, the target value of the region is not allowed to exceed the initial cut-off, and the target value is decomposed according to the following specific steps:
(5.1) setting a load shedding target p;
(5.2) defining k regions, defining p i A target amount of load shedding apportioned for the ith sub-region under the pull Lu Xiandian optimal load target resolution strategy;
(5.3) definition of p c，i For the maximum real-time controllable capacity of the ith sub-area, calculating according to the area to which the load belongs to obtain p c，i ；
(5.4) definition of p t For the controllable total amount of the downstream real-time load of the out-of-limit equipment, namely the controllable load capacity corresponding to the load-breaker sequence screened in the steps, namely the maximum load removable target amount under the line selection sequence, calculating
(5.5) definition r i Calculating for the load control proportion of the real-time load controllable total amount of the downstream of the out-of-limit equipment occupied by the ith sub-area under the pull Lu Xiandian optimal load target decomposition strategy
(5.6) calculating the load shedding target for the ith sub-area allocationQuantity p i ＝p×r i 。
(6) Load line selection
And according to the load targets which need to be cut off, carrying out load route selection according to the priority (maintenance load priority, namely load control round) according to the load sequencing result in the area range until the target value is reached. The load-breaker sequences after sorting and screening are selected, N+1 load-breaker sequences correspond to N+1 controllable circuits, and the total load value sum of the N+1 controllable circuits and the total load deviation value of target cutting off are minimum.
And (3) selecting a controllable line according to the objective planning function in the load-breaker sequence sequenced in the step (4), so that the load capacity (decision value) for executing cutting after final line selection is reduced as far as possible from the target value. The method comprises the following steps:
(6.1) defining the total target amount of load shedding as p, wherein the load-breaker sequence comprises M controllable circuits, and the sequence controllable load value set is { p } 1 ，p 2 ，p 3 ，…，p M The sum of the cut load values under the set is calculated as
(6.2) defining k sub-regions in total, wherein the load cut-off target amount of each sub-region after being allocated is p i From the total sequence set { p 1 ，p 2 ，p 3 ，…，p M The subset of the region i selected in the sequence is { p } i1 ，p i2 ，p i3 ，…，p im -the sub-area comprises m controllable lines belonging to sub-area i;
(6.3) selecting the j-th controllable line for each subarea, and calculating the total cut load value of the j-th controllable line asTotal switchable load and p of current j controllable lines i If the load line selection results of the sub-region i are equal, the first j controllable lines are the load line selection results, the step (6.5) is executed, and if the total tangential load of the current j controllable lines is larger than p i Step (6.4) is performed;
(6.4) selecting the first j-1 controllable lines (the sequence controllable load value set is { p } i1 ，p i2 ，…，p i(j-1) -j); defining n=j-1, and calculating a cut load total value including the first N controllable lines, and defining the cut load total value asDefining the sequence controllable load value set corresponding to the rest (m-N) controllable lines as { p } ij ，p i(j+1) ，…，p im Selecting a line s from the (m-N) controllable lines to make the total value p of the cut loads of the (n+1) lines iN +p is And p is as follows i The deviation value of (2) is smallest, i.e. min { |p i -(p iN +p is )|}；
(6.5) according to p i When selecting the sequence, the sequence is selected according to a certain margin, and when actually controlling, the sequence is controlled to a target value p i And then automatically stopping. Carrying out load line selection on all the selected subareas according to the steps (6.1) - (6.4), and accumulating the selection results to obtain a load line selection aggregate, namely a final load line selection result:
(7) And sending the final load line selection result and the control target to a load batch control system, wherein the system performs load cutting operation in a mode of concurrent multi-station and sequential execution of the same station.
From the perspective of the safe and economical operation of the whole network, after the single equipment load control line selection is completed, the whole network load control line selection is further carried out to help a dispatcher master the real-time operation condition of the whole area power grid, master the real-time maximum power limiting capacity of the whole network and each subarea, and comprehensively map the implementation scheme of the whole network power limiting. The method specifically comprises the following steps:
s1, firstly, acquiring a full-network controllable load, searching the full-network controllable load based on an electric power system topology analysis algorithm of an attribute graph, and automatically generating a full-network controllable load-breaker sequence;
s2, automatically generating a whole network load control plan by adopting a line selection strategy fused by the differential capacity balancing strategy and the multi-target control strategy in the steps (1) to (7);
and S3, finally, sending the control plan and the control target to a load batch control system, and carrying out whole network load cutting operation by adopting a mode of concurrent execution of multiple stations and sequential execution of the same station.
In actual use, the plan sequence can be automatically generated according to the load line selection result, the line selection scheme is displayed in real time through a human-computer interface, and the plan sequence and the control target can be manually edited and corrected if necessary.
The invention discloses an intelligent load batch control system based on multi-strategy fusion automatic search, which comprises the following components:
the load searching and checking module is used for searching all loads and corresponding breaker combinations at the downstream of the equipment when the power grid equipment fails and load cutting is needed, and checking the searched loads and breaker combinations;
the load sequencing module is used for sequencing the combination of the load and the circuit breaker in descending order according to the magnitude of the active change value of the transformer according to the load power to obtain a load and circuit breaker sequence;
the regional load shedding target distribution module is used for distributing a total load control target to each subarea according to a real-time running mode of the power grid by combining real-time controllable load capacity of each subarea and the total real-time load controllable amount of downstream of the out-of-limit equipment, and calculating the load shedding target amount of each subarea;
the load line selection module is used for sequentially selecting at least one load and a corresponding breaker from the load and breaker sequence according to the load cut-off target quantity of each sub-area, so that the sum of the selected loads and the total target deviation of the load control are minimum; traversing all the subareas to obtain a final load line selection result, and executing corresponding load cutting operation.
The electronic equipment comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the intelligent load batch control method based on multi-strategy fusion automatic search is realized when the computer program is loaded to the processor.
The computer readable storage medium of the invention stores a computer program which when executed by a processor realizes the intelligent load batch control method based on multi-strategy fusion automatic search.
The computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, flash memory, or any other medium that can be used to store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The processor is configured to execute the computer program stored in the memory to implement the steps in the method according to the above-mentioned embodiments.
Claims (10)
1. The intelligent load batch control method based on multi-strategy fusion automatic search is characterized by comprising the following steps of:
(1) When power grid equipment fails and load removal is needed, searching all loads and corresponding breaker combinations at the downstream of the equipment, and checking the searched loads and breaker combinations;
(2) The method comprises the steps of performing descending order sequencing on load and breaker combinations according to the magnitude of active change values of a transformer according to load power to obtain a load and breaker sequence;
(3) According to a real-time running mode of the power grid, combining real-time controllable load capacity of each subarea and the total real-time load controllable quantity of downstream of the out-of-limit equipment, distributing a total load control target to each subarea, and calculating a load cut-off target quantity of each subarea;
(4) Sequentially selecting at least one load and a corresponding breaker from the load and breaker sequence according to the load cut-off target amount of each sub-area, so that the sum of the selected loads and the total target deviation of the load control are minimum; traversing all the subareas to obtain a final load line selection result, and executing corresponding load cutting operation.
2. The intelligent load batch control method based on multi-strategy fusion automatic search according to claim 1, wherein the searching of all loads and corresponding breaker combinations downstream of the equipment in the step (1) and performing topology checking on the searched loads and breaker combinations comprises:
acquiring all loads and corresponding breaker combinations at the downstream of the equipment through a main-distribution integrated topology autonomous identification search algorithm, comparing and checking the searched loads and corresponding breaker combinations through a shortest path topology search method, and eliminating inconsistent loads and breakers;
the main-distribution integrated topology autonomous identification search algorithm is used for identifying all loads and corresponding breaker combinations at the downstream of equipment by adopting a depth-first topology search method based on state estimation data.
3. The intelligent load batch control method based on multi-strategy fusion automatic search according to claim 1, wherein before the step (2) of sorting the combinations of the load and the breaker in descending order according to the magnitude of the active change value of the transformer according to the load power to obtain the load and the breaker sequence, the method further comprises:
preprocessing the load according to the real-time load user attribute, the power grid area range, the security load and the switch state, and filtering the load divided into the folk load, the important user and the corresponding switch position.
4. The intelligent load batch control method based on multi-strategy fusion automatic search according to claim 1, wherein in the step (3), according to the real-time operation mode of the power grid, the load control total target is distributed to each subarea by combining the real-time controllable load capacity of each subarea and the downstream real-time controllable total load of the out-of-limit equipment, and calculating the load cut target quantity of each subarea comprises:
the i-th sub-region-allocated load shedding target amount p i ＝p×r i Where p is the overall target of load control, r i The load control proportion of the real-time load controllable total amount of the downstream of the out-of-limit equipment occupied by the ith sub-area,p c，i the maximum real-time controllable capacity of the ith sub-area is k, which is the number of sub-areas.
5. The intelligent load batch control method based on multi-strategy fusion automatic search according to claim 1, wherein in the step (4), at least one load and a corresponding breaker are sequentially selected from the load and breaker sequence according to the load cut-off target amount of each sub-area, so that the deviation between the sum of the selected loads and the total load control target is minimum; traversing all the subareas to obtain a final load line selection result, wherein the final load line selection result comprises the following steps of:
(4.1) each load and corresponding breaker in the load and breaker sequence corresponds to one controllable line, and m controllable lines contained in each sub-area i form a controllable line sequence;
(4.2) selecting a j-th controllable line from the controllable line sequence to enable the j-th controllable line to be not smaller than the load cutting target quantity of the subarea i, if the sum of the cutting loads of the j-th controllable line is equal to the load cutting target quantity of the subarea i, the load line selection result of the subarea i is the j-th controllable line, executing the step (4.4), otherwise executing the step (4.3);
(4.3) reserving the front j-1 controllable lines, selecting the s-th controllable line from the rest m-j+1 controllable lines, so that the deviation between the sum of the tangential loads of the front j-1 controllable lines and the s-th controllable line and the load cutting target quantity of the subarea i is minimum, and the load line selection result of the subarea i is the front j-1 controllable line and the s-th controllable line;
and (4.4) carrying out load line selection on all the subareas according to the steps (4.1) to (4.3) to obtain a final load line selection result.
6. The intelligent load batch control method based on multi-strategy fusion automatic search according to claim 1, wherein the traversing of all sub-areas in the step (4) further comprises, after obtaining a final load line selection result: and generating a plan sequence from the load line selection result, and displaying the line selection result in real time through a human-computer interface.
7. The intelligent load batch control method based on multi-strategy fusion automatic search according to claim 1, wherein the traversing of all sub-areas in step (4) further comprises, after obtaining a final load line selection result:
traversing all equipment of a power grid, searching the controllable load of the whole grid by using a topology analysis algorithm of the power system based on an attribute graph, generating a line selection result of the load of the whole grid according to the steps (1) to (4), and executing corresponding load cutting operation.
8. An intelligent load batch control system based on multi-strategy fusion automatic search is characterized by comprising:
the load searching and checking module is used for searching all loads and corresponding breaker combinations at the downstream of the equipment when the power grid equipment fails and load cutting is needed, and checking the searched loads and breaker combinations;
the load sequencing module is used for sequencing the combination of the load and the circuit breaker in descending order according to the magnitude of the active change value of the transformer according to the load power to obtain a load and circuit breaker sequence;
the regional load shedding target distribution module is used for distributing a total load control target to each subarea according to a real-time running mode of the power grid by combining real-time controllable load capacity of each subarea and the total real-time load controllable amount of downstream of the out-of-limit equipment, and calculating the load shedding target amount of each subarea;
the load line selection module is used for sequentially selecting at least one load and a corresponding breaker from the load and breaker sequence according to the load cut-off target quantity of each sub-area, so that the sum of the selected loads and the total target deviation of the load control are minimum; traversing all the subareas to obtain a final load line selection result, and executing corresponding load cutting operation.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program when loaded to the processor implements the intelligent load batch control method based on multi-policy fusion auto-search according to any of claims 1-7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the intelligent load batch control method based on multi-policy fusion automatic search according to any one of claims 1-7.
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| CN116961012A (en) * | 2023-09-21 | 2023-10-27 | 国网吉林省电力有限公司松原供电公司 | Controllable load switch identification method and system based on shortest path search out-of-limit equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116961012A (en) * | 2023-09-21 | 2023-10-27 | 国网吉林省电力有限公司松原供电公司 | Controllable load switch identification method and system based on shortest path search out-of-limit equipment |
| CN116961012B (en) * | 2023-09-21 | 2024-01-16 | 国网吉林省电力有限公司松原供电公司 | Controllable load switch identification method and system based on shortest path search out-of-limit equipment |
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