A cross-regional power coordination scheduling method and system based on candidate support capacity and comprehensive safety score
Patent Information
- Application Number
- CN202611116450.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-27
- Publication Date
- 2026-10-27
AI Technical Summary
例如,部分方法仅以调度成本为单一优化目标,容易出现压低了调度成本,但出现输电损耗过高、线路安全裕度被过度压缩的情况,无法同时兼顾电网经济性与电网运行的长期稳定性
(1)本发明基于候选支援容量与综合安全评分的跨区域电力协调调度方法及系统能够自动识别电力受援区域和电力可支援区域,并基于电力可支援区域对电力受援区域的最大支援容量筛选出电力受援区域的候选支援区域,从而提前锁定各区域的电力负荷缺口和可支援电力余量,从源头上避免跨区域电力协同调度过程中支援出力超出区域承载能力的问题,大幅降低跨区域输电通道过载风险,实现跨区域电力资源合理配置,减少资源浪费,同时,大幅压缩后续非支配排序遗传算法求解的寻优空间,显著降低计算耗时;
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Abstract
Description
Technical Field
[0001] This invention relates to the field of power system dispatching and optimization control technology, specifically to a cross-regional power coordinated dispatching method and system based on candidate support capacity and comprehensive security score. Background Technology
[0002] With the continuous growth of social electricity load and the increasing proportion of renewable energy generation, fluctuations in power supply and demand between different regional power grids are becoming more pronounced. Some regions may experience power shortages during peak load periods, while other regions may have surplus generation capacity or reserve capacity. If timely cross-regional coordination and dispatch are not carried out, it can easily lead to localized power shortages, transmission line overloads, waste of power resources, and risks to power grid operation safety.
[0003] Existing cross-regional power dispatching methods typically rely on manual experience, fixed rules, or single-objective optimization approaches. For example, some methods focus solely on dispatching costs, which can lead to situations where dispatching costs are reduced, but transmission losses are excessively high and line safety margins are overly compressed, failing to simultaneously consider both grid economics and long-term grid stability. The lack of multi-objective comprehensive scoring guidance makes it difficult for cross-regional power dispatching decisions to achieve optimal resource sharing among multiple regions. Surplus power resources in some regions cannot be efficiently transmitted, and power shortages in recipient regions do not receive the most appropriate support, ultimately lowering the overall power resource utilization rate of the entire grid.
[0004] Furthermore, the existing cross-regional power dispatching methods do not select candidate support areas based on the maximum support capacity of the support areas. This makes it easy for support areas to exceed their own support capacity or for transmission channels to exceed their capacity limits during cross-regional power dispatching. This not only fails to accurately fill the power gap in the recipient areas, but may also cause cross-regional transmission channels to overload, directly affecting the safety of power grid operation. Summary of the Invention
[0005] To address the problems existing in the prior art, this invention provides a cross-regional power coordination and dispatching method and system based on candidate support capacity and comprehensive security score, which greatly improves the efficiency of cross-regional power resource allocation and the stability of power grid operation.
[0006] To achieve the above technical objectives, the present invention adopts the following technical solution:
[0007] A cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score includes the following steps: Step S1: During each scheduling period, based on the available power supply capacity and power load demand of the region, calculate the power supply and demand difference of each region, determine each region as a power-received region or a power-supportable region, and calculate the power load gap and supportable power margin of each region; Step S2: Determine the maximum support capacity of the power-supportable area to the power-received area based on the power load gap of the power-supportable area, the available power capacity of the power-supportable area, and the remaining transmission capacity of the transmission channel between the power-received area and the power-supportable area; and select candidate support areas for the power-received area from the power-supportable areas. Step S3: Construct a multi-objective comprehensive security scoring function that integrates cross-regional coordinated dispatching costs, transmission losses, remaining load gaps, line safety margins, and power resource utilization rates, and set cross-regional coordinated dispatching constraints. Step S4: Determine the initial cross-regional coordinated scheduling scheme based on the candidate support areas for each power-receiving area. Combine the multi-objective comprehensive security scoring function and use the non-dominated sorting genetic algorithm to solve for the optimal cross-regional coordinated scheduling scheme.
[0008] Furthermore, it is characterized by: If the region is within the scheduling period Electricity supply and demand gap Determine the region The area receiving electricity assistance; If the region is within the scheduling period Electricity supply and demand difference Determine the region For areas where electricity can be supplied; in, This indicates the preset electrical load deficit threshold. This indicates the preset power supply margin threshold.
[0009] Furthermore, the calculation process for the electricity load gap and available power margin in each region is as follows:
[0010]
[0011] in, Indicates the area within the scheduling period The power load gap Indicates the area within the scheduling period The available power reserve Indicates the area within the scheduling period The electricity load demand, Indicates the area within the scheduling period Power supply capability, Indicates the area within the scheduling period Safety reserve capacity that needs to be maintained This indicates taking the maximum value.
[0012] Furthermore, the process for determining the maximum support capacity of the power-supportable area to the power-received area in step S2 is as follows:
[0013] in, Indicates the area that can be supported by electricity during the dispatch period. Power assistance areas Maximum supported capacity Indicates the area that can be supported by electricity during the dispatch period. Available power reserves Indicates the power-receiving area during the dispatch period. The power load gap Indicates the area that can be supported by electricity during the dispatch period. With power assistance area The remaining transmission capacity of the transmission channels between them , Indicates the area that can be supported by electricity With power assistance area The maximum allowable capacity of the transmission channel between them Indicates the area that can be supported by electricity to power-receiving areas The power transmission channels currently have a transmission capacity of [missing information]. This indicates taking the minimum value.
[0014] Furthermore, the construction process of the multi-objective integrated security scoring function is as follows:
[0015] in, This indicates the number of all power-receiving areas. A cross-regional coordination and scheduling scheme ,in, Indicates the area that can be supported by electricity to power-receiving areas The transmission capacity, Indicates the area that can be supported by electricity The unit output adjustment amount, Indicates the area that can be supported by electricity The amount of reserve capacity adjustment, Indicates the area that can be supported by electricity The electrical load adjustment amount; express A multi-objective comprehensive safety scoring function. express The cost objective function express The objective function for transmission loss, express The objective function for the remaining electrical load gap, express The objective function for line safety margin, express The objective function for resource utilization.
[0016] Furthermore, the constraints of the cross-regional coordinated dispatch include: cross-regional transmission capacity constraints, cross-regional transmission channel remaining capacity constraints, power supply margin constraints of the power support area in cross-regional coordinated dispatch, power load gap constraints of the power recipient area in cross-regional coordinated dispatch, cross-regional transmission line safety constraints, cross-regional coordinated dispatch power balance constraints, unit output constraints of the power support area in cross-regional coordinated dispatch, and reserve capacity constraints of the power support area in cross-regional coordinated dispatch.
[0017] Furthermore, step S4 includes the following sub-steps: Step S4.1: Randomly select individuals from the initial cross-regional coordinated scheduling scheme as the parent population individuals of the first generation, use the multi-objective comprehensive safety score function as the fitness function of the non-dominated sorting genetic algorithm, and set the maximum number of iterations of the non-dominated sorting genetic algorithm. Step S4.2: Update the current parent population individuals based on adaptive crossover probability and adaptive mutation probability to obtain the current child population individuals, and merge them with the current parent population individuals to form the current population; Step S4.3: Determine the dominance relationship between pairs of individuals in the current population based on the fitness function, divide the non-dominated levels, and calculate the crowding distance of individuals in each non-dominated level. The level in which no individual can dominate is the optimal non-dominated level. Step S4.4: Place individuals into the new population according to the non-dominance level order until all individuals in a certain non-dominance level cannot be placed into the remaining empty spaces in the new population. Then, fill the remaining empty spaces in the new population according to the order of the crowding distance of individuals in the non-dominance level from large to small to obtain the new generation parent population. Step S4.5: Repeat steps S4.2-S4.4 until the maximum number of iterations is reached, and select an individual from the optimal non-dominated levels as the optimal cross-regional coordination and scheduling scheme.
[0018] Furthermore: The calculation process for the adaptive crossover probability is as follows:
[0019] The calculation process for the adaptive mutation probability is as follows:
[0020] in, Indicates the crossover probability. Indicates the probability of mutation. This represents the minimum crossover probability. This represents the maximum crossover probability. This represents the minimum probability of mutation. This represents the maximum mutation probability. This represents the first individual in the current parent population. The objective function value, Indicates the first individual in the current parent population. Find the minimum value of the objective function. Indicates the first individual in the current parent population. The maximum value of the objective function Indicates the current parent population number The average of the objective functions This represents the smallest positive number that prevents the denominator from being zero.
[0021] Furthermore, it also includes constraint checks on individuals in the subpopulation based on the set cross-regional coordinated scheduling constraints: If the cross-regional power transmission capacity constraints are not met, the power available to support the region will be... to power-receiving areas The power transmission capacity will be updated and repaired. ; If the power supply margin constraint of the power support area is not met in the cross-regional coordinated dispatch, the power support area will be... to power-receiving areas The power transmission capacity will be updated and repaired.
[0022] If the safety constraints of inter-regional transmission lines are not met, the power available to support the region will be affected. to power-receiving areas The power transmission capacity will be updated and repaired.
[0023] in, This indicates the area where power can be supported after the update and fixes. to power-receiving areas The transmission capacity, Indicates the area that can be supported by electricity Available power reserves Indicates the number of areas receiving power assistance. express index, Indicates the area that can be supported by electricity to power-receiving areas The transmission capacity, This indicates the maximum safe load rate allowed for the transmission line.
[0024] Furthermore, the present invention also provides a cross-regional power coordination and dispatch system based on candidate support capacity and comprehensive security score, including: a regional status identification module, a candidate cross-regional coordination and dispatch scheme determination module, a multi-objective comprehensive security score module, and a dispatch scheme generation module; The regional status identification module is used to calculate the power supply and demand difference of each region based on the region's power supply capacity and power load demand during each scheduling period, and to determine each region as a power-receiving region or a power-supportable region. The candidate cross-regional coordinated scheduling scheme determination module is used to calculate the power load gap and available power reserve of each region, determine the maximum support capacity of the power-supportable region to the power-received region, screen out candidate support regions for the power-received region from the power-supportable regions, and determine the initial cross-regional coordinated scheduling scheme based on the candidate support regions of each power-received region. The multi-objective comprehensive security scoring module is used to construct a multi-objective comprehensive security scoring function that integrates the cost of cross-regional coordinated dispatch, transmission loss, remaining load gap, line safety margin and power resource utilization rate, and sets cross-regional coordinated dispatch constraints. The scheduling scheme generation module is used to solve for the optimal cross-regional coordinated scheduling scheme based on the initial cross-regional coordinated scheduling scheme and the multi-objective comprehensive safety scoring function, using a non-dominated sorting genetic algorithm.
[0025] Compared with the prior art, the present invention has the following beneficial effects: (1) The cross-regional power coordination and dispatching method and system based on candidate support capacity and comprehensive security score of the present invention can automatically identify the power recipient area and the power supportable area, and select the candidate support area of the power recipient area based on the maximum support capacity of the power supportable area to the power recipient area, thereby locking the power load gap and supportable power surplus of each area in advance, avoiding the problem of support output exceeding the regional carrying capacity in the cross-regional power coordination and dispatching process from the source, greatly reducing the risk of overload of cross-regional power transmission channels, realizing the rational allocation of cross-regional power resources, reducing resource waste, and at the same time, greatly compressing the optimization space of the subsequent non-dominated sorting genetic algorithm solution, significantly reducing the computation time; (2) The present invention constructs a cross-regional power coordination and dispatch method and system based on candidate support capacity and comprehensive security score, which integrates the cost of cross-regional coordination and dispatch, transmission loss, remaining power load gap, line safety margin and power resource utilization rate of a multi-objective comprehensive security score function. This can reduce the risk of line overload in the cross-regional power transmission process and improve the efficiency of cross-regional power resource allocation and grid operation stability. (3) The cross-regional power coordination and scheduling method and system based on candidate support capacity and comprehensive security score of the present invention uses non-dominated sorting genetic algorithm to solve the optimal cross-regional coordination and scheduling scheme, which can adapt to the conflict characteristics of multi-objective comprehensive security score, take into account the multi-dimensional cross-regional power coordination and scheduling requirements, and has stronger resistance to load fluctuations and channel disturbances. It is suitable for complex cross-regional power grid operation scenarios. Attached Figure Description
[0026] Figure 1 This is a flowchart of the cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score of the present invention. Figure 2 This is a flowchart of the non-dominated sorting genetic algorithm in this invention for solving the optimal cross-regional coordinated scheduling scheme; Figure 3 This is a schematic diagram of the cross-regional power coordination and dispatch system based on candidate support capacity and comprehensive security score according to the present invention. Detailed Implementation
[0027] The technical solution of the present invention will be further explained and described below with reference to the accompanying drawings.
[0028] like Figure 1 This is a flowchart of the cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to the present invention. The cross-regional power coordination and dispatch method includes the following steps: Step S1: Within each scheduling period, calculate the power supply-demand difference for each region based on its available power supply capacity and power load demand. Each region is identified as either a power-receiving region or a power-supportable region, and the power load gap and available power capacity for each region are calculated. Indicates the area during the scheduling period Power supply capability, Indicates the area during the scheduling period The electricity load demand.
[0029] If the region is within the scheduling period Electricity supply and demand gap Determine the region The area receiving electricity assistance; If the region is within the scheduling period Electricity supply and demand difference Determine the region For areas where electricity can be supplied; in, This indicates the preset electrical load deficit threshold. This indicates the preset power supply margin threshold.
[0030] The calculation process for the electricity load gap and available power margin in each region is as follows:
[0031]
[0032] in, Indicates the area within the scheduling period The power load gap Indicates the area within the scheduling period Available power reserves Indicates the area within the scheduling period Safety reserve capacity that needs to be maintained This indicates taking the maximum value.
[0033] Step S2: Based on the power load gap in the power-receiving area, the available power capacity in the power-supportable area, and the remaining transmission capacity of the transmission channel between the power-receiving area and the power-supportable area, determine the maximum support capacity of the power-supportable area for the power-receiving area. Select candidate support areas for the power-receiving area from the power-supportable areas, thereby locking in the power load gap and available power capacity of each area in advance. This avoids the problem of support output exceeding the regional carrying capacity during cross-regional power coordination scheduling from the source, significantly reduces the risk of overload of cross-regional transmission channels, realizes the rational allocation of cross-regional power resources, reduces resource waste, and at the same time, greatly compresses the optimization space of the subsequent non-dominated sorting genetic algorithm and significantly reduces the computation time.
[0034] In one technical solution of the present invention, the process for determining the maximum support capacity of the power-supportable area to the power-received area is as follows: Areas where power can be supported during the dispatch period With power assistance area Remaining transmission capacity of the transmission channels between them ,in, Indicates the area that can be supported by electricity With power assistance area The maximum allowable capacity of the transmission channel between them Indicates the area that can be supported by electricity to power-receiving areas The power transmission channels currently have the capacity to transmit electricity; Areas where power can be supported during the dispatch period to power-receiving areas Transmission capacity The following conditions must be met: ; at the same time, It should also be subject to the area where power can be supported during the dispatch period. Available power reserves and the load gap limitation in the aided area and the power aided area during the dispatch period electrical load gap The following restrictions are met: and ; Therefore, the area that can be supported by electricity during the dispatch period Power assistance areas Maximum Support Capacity ,in, This indicates taking the minimum value.
[0035] Step S3: Construct a multi-objective comprehensive security scoring function that integrates cross-regional coordinated dispatch costs, transmission losses, remaining load gaps, line safety margins, and power resource utilization rates, and set cross-regional coordinated dispatch constraints. This can reduce the risk of line overload during cross-regional power transmission and improve the efficiency of cross-regional power resource allocation and grid operation stability.
[0036] The construction process of the multi-objective integrated safety scoring function in this invention is as follows:
[0037] in, This indicates the number of all power-receiving areas. A cross-regional coordination and scheduling scheme ,in, Indicates the area that can be supported by electricity The unit output adjustment amount, Indicates the area that can be supported by electricity The amount of reserve capacity adjustment, Indicates the area that can be supported by electricity The electrical load adjustment amount; express A multi-objective comprehensive safety scoring function. express The cost objective function , express The unit output scheduling cost is reduced. express The cost of cross-regional power transmission express The cost of calling up spare capacity express Electricity load adjustment costs; express The objective function for transmission loss, , Indicates the area that can be supported by electricity The number of available aid areas Indicates the area that can be supported by electricity To the power authorization area Transmission loss coefficient, express Power can support the area to power-receiving areas The transmission capacity; express The objective function for the remaining electrical load gap, , express Lower Recipient Area The remaining load gap, ; express The objective function for line safety margin, , express The safety margin of the line below, , This indicates the maximum safe load rate allowed for the transmission line. ; express The objective function for resource utilization. .
[0038] The cross-regional coordinated scheduling constraints in this invention include: Inter-regional power transmission capacity constraints: ; Remaining capacity constraints of inter-regional power transmission channels: ; Power supply margin constraints in cross-regional coordinated dispatching of power support areas: ; Power load gap constraints in power-receiving areas during cross-regional coordinated dispatch: ; Safety constraints for inter-regional transmission lines: ; Power balance constraints for cross-regional coordinated scheduling: ; Output constraints of generating units in power support areas during cross-regional coordinated dispatch: ,in, Indicates the power support area Indoor unit of efforts, Indicates the power support area Indoor unit Minimum output, Show power support area Indoor unit Maximum output; Reserve capacity constraints in power support areas during cross-regional coordinated dispatch: ,in, express Lower power support area Backup capacity, Indicates the power support area Safety reserve capacity that needs to be maintained.
[0039] Step S4: Based on the candidate support areas for each power assistance region, an initial cross-regional coordinated dispatch scheme is determined. Combining a multi-objective comprehensive security scoring function, a non-dominated sorting genetic algorithm is used to solve for the optimal cross-regional coordinated dispatch scheme. This approach adapts to the conflict characteristics of the multi-objective comprehensive security scoring, improves the optimization capability of the cross-regional power coordinated dispatch scheme, considers multi-dimensional cross-regional power collaborative dispatch requirements, and has stronger resistance to load fluctuations and channel disturbances, making it suitable for complex cross-regional power grid operation scenarios. For example... Figure 2 This includes the following sub-steps: Step S4.1: Randomly select individuals from the initial cross-regional coordinated scheduling scheme as the parent population individuals of the first generation, use the multi-objective comprehensive safety score function as the fitness function of the non-dominated sorting genetic algorithm, and set the maximum number of iterations of the non-dominated sorting genetic algorithm. Step S4.2: Update the current parent population individuals based on adaptive crossover probability and adaptive mutation probability to obtain the current child population individuals, and merge them with the current parent population individuals to form the current population. This can dynamically adjust the search capability according to the population evolution state and reduce the probability of getting trapped in local optima. in: The process of calculating the adaptive crossover probability is as follows:
[0040] The calculation process for adaptive mutation probability is as follows:
[0041] in, Indicates the crossover probability. Indicates the probability of mutation. This represents the minimum crossover probability. This represents the maximum crossover probability. This represents the minimum probability of mutation. This represents the maximum mutation probability. This represents the first individual in the current parent population. The objective function value, Indicates the first individual in the current parent population. Find the minimum value of the objective function. Indicates the first individual in the current parent population. The maximum value of the objective function Indicates the current parent population number The average of the objective functions This represents the smallest positive number that prevents the denominator from being zero.
[0042] Step S4.3: Determine the dominance relationship between pairs of individuals in the current population based on the fitness function, divide the non-dominated levels, and calculate the crowding distance of individuals in each non-dominated level. The level in which no individual can dominate is the optimal non-dominated level. The calculation process for crowding distance among individuals within the non-dominant hierarchy in this invention is as follows:
[0043] in, Indicates individuals within the non-dominant hierarchy Crowded distance, Indicates individuals within the non-dominant hierarchy The next individual after sorting The objective function value, Indicates individuals within the non-dominant hierarchy The first individual after sorting The objective function value, Indicates the first The maximum value of each objective function. Indicates the first The minimum value of an objective function.
[0044] Step S4.4: Individuals are placed into the new population according to the non-dominance level order until all individuals in a certain non-dominance level cannot be placed into the remaining slots of the new population. Then, the remaining slots of the new population are filled in the order of the crowding distance of individuals in the non-dominance level from large to small to obtain a new generation of parent population. This can maintain population diversity while ensuring the excellence of the candidate scheduling scheme. Step S4.5: Repeat steps S4.2-S4.4 until the maximum number of iterations is reached, and select an individual from the optimal non-dominated levels as the optimal cross-regional coordination and scheduling scheme.
[0045] In one technical solution of the present invention, when the subpopulation individuals are obtained based on the adaptive crossover probability and adaptive mutation probability update, the subpopulation individuals are subjected to constraint checks based on the set cross-regional coordinated scheduling constraints, so that the candidate scheduling scheme meets the constraints of transmission channel capacity, power supply margin of support area and line safety margin, and meets the actual power grid operation requirements.
[0046] If the cross-regional power transmission capacity constraints are not met, the power available to support the region will be... to power-receiving areas The power transmission capacity will be updated and repaired. ; If the power supply margin constraint of the power support area is not met in the cross-regional coordinated dispatch, the power support area will be... to power-receiving areas The power transmission capacity will be updated and repaired.
[0047] If the safety constraints of inter-regional transmission lines are not met, the power available to support the region will be affected. to power-receiving areas The power transmission capacity will be updated and repaired.
[0048] in, This indicates the area where power can be supported after the update and fixes. to power-receiving areas The transmission capacity, Indicates the area that can be supported by electricity Available power reserves Indicates the number of areas receiving power assistance. express index, Indicates the area that can be supported by electricity to power-receiving areas The transmission capacity, This indicates the maximum safe load rate allowed for the transmission line.
[0049] In one technical solution of the present invention, such as Figure 3 It also provides a cross-regional power coordination and dispatch system based on candidate support capacity and comprehensive security score, including: a regional status identification module, a candidate cross-regional coordination and dispatch scheme determination module, a multi-objective comprehensive security score module, and a dispatch scheme generation module; The regional status identification module is used to calculate the power supply and demand difference of each region based on the region's power supply capacity and power load demand during each scheduling period, and to determine whether each region is a power-received region or a power-supportable region. The candidate cross-regional coordinated dispatch scheme determination module is used to calculate the power load gap and available power reserve for each region, determine the maximum support capacity of the power-supportable region to the power-received region, screen out candidate support regions for the power-received region from the power-supportable region, and determine the initial cross-regional coordinated dispatch scheme based on the candidate support regions for each power-received region. The multi-objective integrated security scoring module is used to construct a multi-objective integrated security scoring function that integrates cross-regional coordinated dispatch costs, transmission losses, remaining load gaps, line safety margins, and power resource utilization rates, and sets cross-regional coordinated dispatch constraints. The scheduling scheme generation module is used to solve for the optimal cross-regional coordinated scheduling scheme based on the initial cross-regional coordinated scheduling scheme and the multi-objective comprehensive safety scoring function, using a non-dominated sorting genetic algorithm.
[0050] The present invention provides a cross-regional power coordination and dispatch method and system based on candidate support capacity and comprehensive security score, which can realize the coordinated and optimized allocation of cross-regional power resources, improve the safety, stability and economy of power grid operation, and can be applied to scenarios such as regional power grid collaborative dispatch, power resource optimization allocation, load gap compensation, cross-regional power transmission plan generation and power grid operation safety control.
[0051] In one embodiment of the present invention, a computer-readable storage medium is also provided, storing a computer program that enables a computer to execute the cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score of the present invention.
[0052] In one technical solution of the present invention, an electronic device is also provided, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the cross-regional power coordination and dispatching method of the present invention based on candidate support capacity and comprehensive security score.
[0053] In the embodiments disclosed in this application, a computer storage medium may be a tangible medium that may contain or store programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of computer storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, and portable compact disc read-only memory (CD). ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.
[0054] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0055] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should be considered within the scope of protection of the present invention.
Claims
1. A cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score, characterized in that, Includes the following steps: Step S1: During each scheduling period, based on the available power supply capacity and power load demand of the region, calculate the power supply and demand difference of each region, determine each region as a power-received region or a power-supportable region, and calculate the power load gap and supportable power margin of each region; Step S2: Determine the maximum support capacity of the power-supportable area to the power-received area based on the power load gap of the power-supportable area, the available power capacity of the power-supportable area, and the remaining transmission capacity of the transmission channel between the power-received area and the power-supportable area; and select candidate support areas for the power-received area from the power-supportable areas. Step S3: Construct a multi-objective comprehensive security scoring function that integrates cross-regional coordinated dispatching costs, transmission losses, remaining load gaps, line safety margins, and power resource utilization rates, and set cross-regional coordinated dispatching constraints. Step S4: Determine the initial cross-regional coordinated scheduling scheme based on the candidate support areas for each power-receiving area. Combine the multi-objective comprehensive security scoring function and use the non-dominated sorting genetic algorithm to solve for the optimal cross-regional coordinated scheduling scheme.
2. The cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 1, characterized in that: If the region is within the scheduling period Electricity supply and demand difference Determine the region The area receiving electricity assistance; If the region is within the scheduling period Electricity supply and demand difference Determine the region For areas where electricity can be supplied; in, This indicates the preset electrical load deficit threshold. This indicates the preset power supply margin threshold.
3. The cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 1, characterized in that, The calculation process for the electricity load gap and available power margin in each region is as follows: in, Indicates the area within the scheduling period The power load gap Indicates the area within the scheduling period Available power reserves Indicates the area within the scheduling period The electricity load demand, Indicates the area within the scheduling period Power supply capability, Indicates the area within the scheduling period Safety reserve capacity that needs to be maintained This indicates taking the maximum value.
4. The cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 1, characterized in that, The process for determining the maximum support capacity of the power-supportable area to the power-received area in step S2 is as follows: in, Indicates the area that can be supported by electricity during the dispatch period. Power assistance areas Maximum supported capacity Indicates the area that can be supported by electricity during the dispatch period. Available power reserves Indicates the power-receiving area during the dispatch period. The power load gap Indicates the area that can be supported by electricity during the dispatch period. With power assistance area The remaining transmission capacity of the transmission channels between them , Indicates the area that can be supported by electricity With power assistance area The maximum allowable capacity of the power transmission channel between them Indicates the area that can be supported by electricity to power-receiving areas The power transmission channels currently have a transmission capacity of [missing information]. This indicates taking the minimum value.
5. The cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 1, characterized in that, The construction process of the multi-objective integrated security scoring function is as follows: in, This indicates the number of all power-receiving areas. A cross-regional coordination and scheduling scheme ,in, Indicates the area that can be supported by electricity to power-receiving areas The transmission capacity, Indicates the area that can be supported by electricity The unit output adjustment amount, Indicates the area that can be supported by electricity The amount of reserve capacity adjustment, Indicates the area that can be supported by electricity The electrical load adjustment amount; express A multi-objective comprehensive safety scoring function. express The cost objective function express The objective function for transmission loss, express The objective function for the remaining electrical load gap, express The objective function for line safety margin, express The objective function for resource utilization.
6. A cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 5, characterized in that, The constraints of cross-regional coordinated dispatch include: cross-regional transmission capacity constraints, cross-regional transmission channel remaining capacity constraints, power supply margin constraints of power support areas in cross-regional coordinated dispatch, power load gap constraints of power recipient areas in cross-regional coordinated dispatch, cross-regional transmission line safety constraints, cross-regional coordinated dispatch power balance constraints, unit output constraints of power support areas in cross-regional coordinated dispatch, and reserve capacity constraints of power support areas in cross-regional coordinated dispatch.
7. A cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 6, characterized in that, Step S4 includes the following sub-steps: Step S4.1: Randomly select individuals from the initial cross-regional coordinated scheduling scheme as the parent population individuals of the first generation, use the multi-objective comprehensive safety score function as the fitness function of the non-dominated sorting genetic algorithm, and set the maximum number of iterations of the non-dominated sorting genetic algorithm. Step S4.2: Update the current parent population individuals based on adaptive crossover probability and adaptive mutation probability to obtain the current child population individuals, and merge them with the current parent population individuals to form the current population; Step S4.3: Determine the dominance relationship between pairs of individuals in the current population based on the fitness function, divide the non-dominated levels, and calculate the crowding distance of individuals in each non-dominated level. The level in which no individual can dominate is the optimal non-dominated level. Step S4.4: Place individuals into the new population according to the non-dominance level order until all individuals in a certain non-dominance level cannot be placed into the remaining empty spaces in the new population. Then, fill the remaining empty spaces in the new population according to the order of the crowding distance of individuals in the non-dominance level from large to small to obtain the new generation parent population. Step S4.5: Repeat steps S4.2-S4.4 until the maximum number of iterations is reached, and select an individual from the optimal non-dominated levels as the optimal cross-regional coordination and scheduling scheme.
8. The cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 7, characterized in that: The calculation process for the adaptive crossover probability is as follows: The calculation process for the adaptive mutation probability is as follows: in, Indicates the crossover probability. Indicates the probability of mutation. This represents the minimum crossover probability. This represents the maximum crossover probability. This represents the minimum probability of mutation. This represents the maximum mutation probability. This represents the first individual in the current parent population. The objective function value, Indicates the first individual in the current parent population. Find the minimum value of the objective function. Indicates the first individual in the current parent population. The maximum value of the objective function Indicates the current parent population number The average of the objective functions This represents the smallest positive number that prevents the denominator from being zero.
9. A cross-regional power coordination and dispatch method based on candidate support capacity and comprehensive security score according to claim 7, characterized in that, It also includes constraint checks on individuals in the subpopulation based on the set cross-regional coordination and scheduling constraints: If the cross-regional power transmission capacity constraints are not met, the power available to support the region will be... to power-receiving areas The power transmission capacity will be updated and repaired. ; If the power supply margin constraint of the power support area is not met in the cross-regional coordinated dispatch, the power support area will be... to power-receiving areas The power transmission capacity will be updated and repaired. If the safety constraints of inter-regional transmission lines are not met, the power available to support the region will be affected. to power-receiving areas The power transmission capacity will be updated and repaired. in, This indicates the area where power can be supported after the update and fixes. to power-receiving areas The transmission capacity, Indicates the area that can be supported by electricity Available power reserves Indicates the number of areas receiving power assistance. express index, Indicates the area that can be supported by electricity to power-receiving areas The transmission capacity, This indicates the maximum safe load rate allowed for the transmission line.
10. A cross-regional power coordination and dispatch system based on candidate support capacity and comprehensive security score, characterized in that, include: The module includes a regional status identification module, a candidate cross-regional coordinated scheduling scheme determination module, a multi-objective comprehensive security scoring module, and a scheduling scheme generation module. The regional status identification module is used to calculate the power supply and demand difference of each region based on the region's power supply capacity and power load demand during each scheduling period, and to determine each region as a power-receiving region or a power-supportable region. The candidate cross-regional coordinated scheduling scheme determination module is used to calculate the power load gap and available power reserve of each region, determine the maximum support capacity of the power-supportable region to the power-received region, screen out candidate support regions for the power-received region from the power-supportable regions, and determine the initial cross-regional coordinated scheduling scheme based on the candidate support regions of each power-received region. The multi-objective comprehensive security scoring module is used to construct a multi-objective comprehensive security scoring function that integrates the cost of cross-regional coordinated dispatch, transmission loss, remaining load gap, line safety margin and power resource utilization rate, and sets cross-regional coordinated dispatch constraints. The scheduling scheme generation module is used to solve for the optimal cross-regional coordinated scheduling scheme based on the initial cross-regional coordinated scheduling scheme and the multi-objective comprehensive safety scoring function, using a non-dominated sorting genetic algorithm.