Power grid control optimization system and method based on continuous optimization iteration

Abstract

The application relates to the field of electric power, and discloses a power grid control optimization system and method based on continuous optimization iteration, which comprises a power grid topology model module, a node information database module, a power grid imbalance degree model library module, a power grid real-time operation data monitoring module, a power grid optimization strategy model module, a power grid stability evaluation model module and a power grid optimization strategy decision support module, wherein the power grid optimization strategy decision support module comprises a power grid operation support submodule and a power grid line change optimization simulation submodule; the power grid line change optimization simulation submodule is used for establishing a simulation model and recommending an optimization strategy for a period of time after a new line or line change is added when a power grid line needs to be added or changed, and the optimization strategy is iterated to the power grid operation support submodule as an optimization strategy in a related time period, thereby complementing the power grid operation optimization strategy and supporting the final optimization control of operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power grid optimization, and particularly to a power grid control optimization method based on continuous optimization iteration. BACKGROUND

[0002] In the construction of new power grids, power supply requires diversification, and needs to meet the requirements of green, high level, fast and stable supply, etc. Therefore, high requirements are put forward for the stability of the overall power grid, the flexibility and reliability of the control system. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a power grid control optimization system and method based on continuous optimization iteration to solve the current technical problem.

[0004] TECHNICAL SCHEME

[0005] The power grid control optimization system based on continuous optimization iteration comprises a power grid topology model module, a node information database module, a power grid imbalance degree model library module, a power grid real-time operation data monitoring module, a power grid optimization strategy model module, a power grid stability evaluation model module, and a power grid optimization strategy decision support module, wherein,

[0006] The power grid topology model module is a node-based power grid model established based on data and network topology, including network topology parameters, node position parameters, node capacity parameters, node control equipment, load parameters, and line node connection relationships of the power grid, as basic data of the power grid model, for reactive power and active power switching control based on nodes of the power grid. The nodes are power transmission or distribution line voltage nodes or load nodes such as transformer substations or transformer boxes;

[0007] The node information database module is used to record and update the relevant information data of the nodes, including node operating equipment details and node operating parameters, and the operating relationship information of the node and adjacent nodes;

[0008] The power grid imbalance degree model library module includes voltage, current or three-phase imbalance degree calculation models;

[0009] The power grid real-time operation data monitoring module is used to monitor and record power grid real-time operation data, monitor the stability of power grid operation, and once an imbalance occurs, the power grid optimization is performed according to the optimization strategy recommended by the power grid operation optimization strategy decision support module;

[0010] The power grid optimization strategy model module includes various optimization strategy models that have been historically verified or newly recommended;

[0011] The power grid stability evaluation model module includes power flow calculation and various stability evaluation models;

[0012] The power grid optimization strategy decision support module comprises a power grid operation support submodule and a power grid line change optimization simulation submodule. The power grid operation support submodule is used to monitor the power grid real-time operation data according to the power grid real-time operation data monitoring module, monitor and calculate the stability during power grid operation, calculate by using the related models in the power grid imbalance degree model library module, then simulate according to the related optimization strategy models in the power grid optimization strategy model module, select the model with the highest stability evaluation, and perform the optimization control strategy during operation according to the network topology, node position and node capacity information of the power grid line in the power grid topology model module and the node control device.

[0013] The power grid line change optimization simulation submodule is used to establish a simulation model and recommend an optimization strategy for a period of time after the addition of a line or line change when the power grid line needs to be added or changed, and the optimization strategy is iterated to the power grid operation support submodule as the optimization strategy in the related period of time, as a supplement to the power grid operation optimization strategy, and supports the final optimization control of operation.

[0014] Further, the power grid line change optimization simulation submodule can, when the power grid line needs to be added or changed, first establish a first imbalance degree model of the line change part according to the changed line, configure a first optimization strategy, and run the power grid stability evaluation model according to the first optimization strategy to obtain a stability evaluation value I. Then, the changed line and the corresponding node information are combined with the existing power grid topology simulation, a second imbalance degree model of the extended node of the line change is established according to the updated power grid topology after simulation, a second optimization strategy is configured, and stability evaluation of the line change part and stability evaluation of the line range of the extended node are performed to obtain stability evaluation values II and III respectively.

[0015] Further, if the stability evaluation values II and III meet the requirements, the second optimization strategy is adopted, and if the stability evaluation values I and III meet the requirements, the first optimization strategy is adopted.

[0016] Further, the selection method of the extended node of the line change adopts all adjacent nodes of the connection node of the changed line in the updated power grid topology after simulation, and determines the affected nodes whose difference data reaches a certain range by algorithm according to the distribution of the difference data of the voltage change or current change or three-phase imbalance degree change of each node after simulation compared with the corresponding historical data, and selects all the affected nodes as the extended nodes of the line change.

[0017] The histogram or Markov chain algorithm is used to determine the affected nodes whose difference data reaches a certain range.

[0018] Further, in establishing the second unbalance degree model of the extended node of the line change and configuring the second optimization strategy, based on different models and expert systems of the power grid optimization strategy model module, taking the stability evaluation value II meeting the requirement as the first objective function and the stability evaluation value III meeting the requirement as the second objective function, continuously optimizing the second optimization strategy, and finally adopting the second optimization strategy meeting the requirement.

[0019] Further, in a period after the line change is completed and the grid connection, the line change range and the extended node range are taken as a group for power grid control optimization, and iterated to the power grid operation support submodule, serving as a supplement of the power grid operation optimization strategy and supporting the final optimization control of the power grid operation.

[0020] An optimization method of the power grid control optimization system, characterized by comprising the following steps:

[0021] Step one, acquiring the power grid topology model and real-time operation data of the power grid, monitoring the stability of the power grid operation, and once finding an unbalance phenomenon, performing power grid optimization according to the optimization strategy recommended by the power grid operation optimization strategy decision support module;

[0022] Step two, when a line needs to be added or changed, running the power grid line change optimization simulation submodule of the power grid operation optimization strategy decision support module, and selecting a control optimization strategy through the establishment of two models of the line change range and the extended node range;

[0023] Step three, after the line change is completed, updating the power grid topology model and the node information database of the added or changed nodes, and in a period after the line change is connected to the grid, performing control in the extended node range according to the control optimization strategy selected in step two;

[0024] Step four, updating the control optimization strategy selected in step two and the extended node range to the power grid operation support submodule of the power grid optimization strategy decision support module, and performing power grid optimization on all other power grid lines outside the extended node range according to a unified optimization strategy, or re-distributing and adopting a group control model for control optimization.

[0025] Further, step two selects one of the two optimization strategies as the final optimization strategy through the establishment of two models of the line change range and the extended node range, respectively configures an optimization strategy, or establishes an optimization algorithm taking the stability evaluation value of the line added part and the extended node part in the extended node range as the objective function, and continuously optimizes the final control optimization strategy.

[0026] A storage medium storing a program, characterized in that the program is executed by a processor to implement the above optimization method.

[0027] Beneficial effects

[0028] The present application proposes a power grid control optimization system and method based on continuous optimization iteration, which establishes a topology model and a database for power grid basic data and node information, establishes a monitoring model and a control optimization model in a database, and continuously iterates and optimizes the model in power grid monitoring by continuously updating the database to select a better optimization strategy. Especially in the case of rapid expansion and continuous update of the power grid, the present application proposes to establish a twice line update model and optimize the control strategy, which can not only determine the stability of the line update part, but also realize smooth transition, fully utilize the advantages of multi-point node control of the power grid, reduce the cost, and increase the reliability of the power grid. BRIEF DESCRIPTION OF DRAWINGS

[0029] Figure 1 It is a schematic diagram of the system architecture of the present application.

[0030] Figure 2 It is a schematic diagram of the working process of the system of the present application.

[0031] Figure 3 It is a schematic diagram of the selection process of the control scheme of the newly added line in the prior art.

[0032] Figure 4 It is a schematic diagram of the selection process of the control scheme of the newly added line in the system of the present application. DETAILED DESCRIPTION

[0033] The present application will be further described below in combination with specific embodiments and drawings.

[0034] In order to support the rapid and continuous expansion of the power grid, the present application proposes a power grid control optimization system based on continuous optimization iteration, which can continuously update and iterate on the existing system. The system includes a power grid topology model module, a node information database module, a power grid imbalance degree model library module, a power grid real-time operation data monitoring module, a power grid optimization strategy model module, a power grid stability evaluation model module, and a power grid optimization strategy decision support module. The power grid topology model module is a node-based power grid model based on data and network topology, which includes network topology parameters, node location parameters, node capacity parameters, node control equipment, load parameters, and line node connection relationships of the power grid, and is used as the basis data of the power grid model for reactive power and active power switching control based on nodes. The nodes are power transmission or distribution line voltage nodes or load nodes such as transformer substations or transformer boxes.

[0035] The node information database module is used to record and update the relevant information data of the nodes, including node operation equipment details and node operation parameters, and the operation relationship information between the node and the adjacent node. The nodes are labeled and distinguished according to types and levels, which are used for subsequent related group control according to the nodes.

[0036] The grid imbalance degree model library module includes voltage, current or three-phase imbalance degree calculation models, which can be selected according to different types of monitoring points or control objects;

[0037] The grid real-time operation data monitoring module is used for monitoring and recording grid real-time operation data, monitoring the stability of grid operation, and performing grid optimization according to the optimization strategy recommended by the grid operation optimization strategy decision support module once an imbalance phenomenon occurs;

[0038] The grid optimization strategy model module includes various optimization strategy models that have been historically verified or newly recommended, so as to continuously optimize and iterate; the grid stability evaluation model module includes grid flow calculation and various stability evaluation models;

[0039] The grid operation support submodule is used for monitoring and calculating the stability of grid operation according to the grid real-time operation data of the grid real-time operation data monitoring module, calculating the stability using related models in the grid imbalance degree model library module, and then selecting the model with the highest stability evaluation after simulation according to related optimization strategy models in the grid optimization strategy model module, and performing the optimization control strategy during operation according to the network topology, node position and node capacity information of the grid line in the grid topology model module and the node control device.

[0040] The grid line change optimization simulation submodule is used for establishing a simulation model and recommending an optimization strategy for a period of time after a new line or line change is added when a grid line needs to be added or changed, and iterating the optimization strategy to the grid operation support submodule as the optimization strategy of the related time period, as a supplement to the grid operation optimization strategy, supporting the final optimization control of operation.

[0041] The grid line change optimization simulation submodule can first establish a first imbalance degree model of the line change part according to the changed line when the grid line needs to be added or changed, configure a first optimization strategy, and run the grid stability evaluation model according to the first optimization strategy to obtain a stability evaluation value I, then combine the changed line with the corresponding node information with the existing grid topology simulation, establish a second imbalance degree model of the extended node of the line change according to the updated grid topology after simulation, configure a second optimization strategy, and perform stability evaluation of the line change part and stability evaluation of the line range of the extended node to obtain stability evaluation values II and III, respectively.

[0042] If the stability evaluation value II and the stability evaluation value III meet the requirements, the second optimization strategy is adopted, if the stability evaluation value I and the stability evaluation value III meet the requirements, the first optimization strategy is adopted.

[0043] Or in the establishment of the second unbalance degree model of the extended node of the line change and the configuration of the second optimization strategy, based on the different models and expert systems of the power grid optimization strategy model module, the stability evaluation value II meeting the requirements is taken as the first objective function, and the stability evaluation value III meeting the requirements is taken as the second objective function, the second optimization strategy is continuously optimized, and the finally meeting the requirements second optimization strategy is adopted.

[0044] The system of the application establishes the existing power grid data into an operation model, and through the establishment of different databases and control models and evaluation models, not only can the control strategy selection be realized, but also the control strategy can be continuously optimized through the iteration database. When the line is updated or newly added, a zero-time model is established through simulation, so that the control strategy is selected twice when the line is established. Not only the cost of the control equipment that may be increased before the line change is reduced, and the more optimized reactive or active control architecture is selected, but also the grid connection process is more flexible, and the reliability and stability of the power grid are higher after the pre-selection of the control strategy.

[0045] The selection method of the extended node of the line change adopts all the adjacent nodes of the connection node of the changed line and the power grid. In the updated power grid topology after simulation, the difference data distribution of the voltage change or the current change or the three-phase unbalance degree change of each node after simulation and the sample comparison of the corresponding historical data is determined, the affected nodes whose difference data reach a certain range are determined through an algorithm, and all the affected nodes are selected as the extended nodes of the line change.

[0046] For the data meeting the normal distribution, the histogram can be used to determine the affected nodes whose difference data reach a certain range. For the nonlinear or unclear relationship data, the Markov chain algorithm can be used to determine the certain range of the affected nodes.

[0047] In a period of time after the line change is completed and the grid connection, the range of the line change and the range of the extended node are taken as a group for the power grid control optimization, and iterated to the power grid operation support submodule, as a supplement of the power grid operation optimization strategy, supporting the final optimization control of the power grid operation.

[0048] The optimization method of the above power grid control optimization system comprises the following steps:

[0049] Step one, the power grid topology model and the real-time operation data of the power grid are obtained, the power grid operation stability is monitored, once the unbalance phenomenon occurs, the power grid optimization is carried out according to the optimization strategy recommended by the power grid operation optimization strategy decision support module;

[0050] Step two, when the line needs to be added or changed, run the power grid line change optimization simulation submodule of the power grid operation optimization strategy decision support module, select the control optimization strategy by building two models of line change range and extended node range;

[0051] Step three, after the line change is completed, update the power grid topology model and the node information database of the newly added or changed nodes, and perform control within the extended node range with the control optimization strategy selected in step two for a period of time after the line change is connected to the grid;

[0052] Step four, update the control optimization strategy selected in step two and the extended node range to the power grid operation support submodule of the power grid optimization strategy decision support module, and perform power grid optimization on all other power grid lines outside the extended node range according to a unified optimization strategy, or perform control optimization using a group control model after reassignment.

[0053] Among them, step two builds two models of line change range and extended node range, respectively configures optimization strategies, selects one of the optimization strategies as the final optimization strategy, or establishes an optimization algorithm with the stability evaluation value of the newly added line and the extended node part of the line in the extended node range as the objective function, and continuously optimizes the final control optimization strategy. Specific embodiment 1

[0055] For the continuous iteration of the reactive power optimization method of the newly added line, the following steps are adopted:

[0056] 1. Power grid analysis modeling

[0057] Collect power grid data (including line, substation, reactive power compensation device parameters, etc.), establish power flow model and transient simulation model, as the basis for analyzing power quality problems and compensation methods. Here for the modeling of newly added lines or line changes.

[0058] 2. Analysis of voltage imbalance along the line

[0059] Based on the line parameters of the power supply system, analyze and calculate and simulate the actual single-phase high-power impact load data on the newly added line or changed line, establish a voltage imbalance analysis model along the line, analyze the steady-state and transient power quality problems based on the model, and propose SVG control strategy and control parameters.

[0060] 3. Simulation analysis of SVG negative sequence compensation capability under weak power grid

[0061] Establishing a regional power grid SVG control system model of the newly added line or the changed line, and updating the newly added line or the changed line to the upper power grid or the overall power grid for analysis, analyzing the line influence part, and adding to the regional power grid, establishing a secondary regional power grid SVG control system model, analyzing the coupling relationship of each control loop in the SVG control system under the weak power grid, analyzing the dynamic interaction characteristics of SVG and the power grid, optimizing the SVG control strategy and control parameters, and improving the negative sequence compensation performance under the weak power grid.

[0062] 4. Continuous monitoring and optimization of SVG optimal compensation control for random load fluctuation

[0063] Establishing a regional power grid power flow model of the newly added line or the changed line and the line influence part, i.e. the expanded region, based on the accurate extraction and control method of SVG dynamic random load compensation current, dynamically adjusting and compensating reactive power, and according to the change of load reactive power, real-time tracking and compensation are performed to suppress voltage fluctuation, negative sequence and harmonics caused by impact reactive power. The monitoring mechanism of the newly added line or the changed line and the regional power grid is established, and continuous optimization control is performed based on the regional power grid power flow model.

[0064] Among them, based on the existing historical data and network topology, a node-based power grid model is established, and the network topology parameters, node position parameters, node capacity parameters, node device details, power supply side load parameters, demand side load parameters, line node connection relationship and the like in the power grid model data are extracted as the power grid model basic data, and the line bus voltage real-time data, load active power real-time data, reactive compensation real-time data, and distributed power real-time position and data monitored are collected as model operation data for analysis. The node can be a transformer or distribution box or the like power transmission or distribution line voltage node or load node, and each node is hierarchically labeled as Tn, n from the first level to the nth level of the highest voltage in the network topology, and the same level of transformer is the same level of node.

[0065] The relevant information of each node is classified and recorded, including the information of adjacent nodes of the node, the distance and connection relationship information of adjacent nodes, the information table of each node is established, and the power grid power flow model and transient simulation model are established.

[0066] When the newly added line or the line change occurs, for the newly added line node or the new node generated by the line change, based on the power grid model requirement, the related information of the newly added or changed node is updated to the above-mentioned power grid model, and according to the actual operation of the newly added line part or the line part after the change, the along-line unbalance analysis model of the newly added line or the changed line is simulated and established, and the first simulation SVG control system model of the newly added line or the changed line is established accordingly.

[0067] The newly added line and the regional power grid topology connection node or the line change and the connection node of the original line are taken as initial nodes, and the node information is traversed to the adjacent nodes between the high one or high two nodes as the termination node, to establish the second simulation SVG control system model of the regional power grid after expanding the nodes.

[0068] By comparing the two simulation SVG control system models, the more optimal economy and more stable SVG control system model is recommended. Based on the SVG control system model, the power grid power flow model of the regional power grid after expanding the nodes is established, the operation condition of the distribution system is evaluated, the system loss is obtained, and the optimization implementation of the scheme is determined after evaluation.

[0069] The Histogram method is used to determine the related adjacent nodes, that is, all adjacent nodes of the connection node are simulated in the power grid model of the newly added line or line change. The difference data of the voltage change or current change or three-phase unbalance degree change after simulation compared with the historical data is determined by the Histogram algorithm.

[0070] First, the histogram and range of the input data are counted; then the left pointer and the right pointer are defined to point to the left boundary and the right boundary of the histogram respectively; the histogram coverage between the current double pointers is calculated, if it is less than or equal to the set coverage threshold, the histogram value pointed to by the left pointer at this moment is returned, if it does not meet the requirement, the values of the double pointers need to be adjusted to move towards the middle; if the histogram value pointed to by the left pointer is greater than the histogram value pointed to by the right pointer, the right pointer moves left, otherwise the left pointer moves right; loop until the double pointer coverage area meets the requirements.

[0071] The specific node information of the difference data value in the range obtained by the above algorithm is extracted, the nodes connected with the connection node are selected according to the line information of the power grid model, and the regional power grid after expanding the nodes is composed of all nodes of the newly added line and the line change. The regional simulation power grid model is established based on the regional power grid, and the power grid power flow model of the regional power grid is established to evaluate the operation condition of the distribution system, obtain the system loss, and determine the optimization implementation of the scheme after evaluation.

[0072] If it is a load type node, the active output change is monitored, Markov chain algorithm or ant colony algorithm can also be used, and the regional power grid after the expansion node is determined, then based on different models and expert systems of the power grid optimization strategy model module, the stability of the new line after the expansion node meets the requirements as the first objective function, and the stability of the regional power grid after the expansion node meets the requirements as the second objective function, as the iterative convergence condition, the range of the expansion node is continuously optimized, and then the control strategy is optimized, and finally the control strategy meeting the requirements is adopted, so that the stability requirements are met, the existing control equipment is maximally utilized, and the cost is reduced.

[0073] The basic principles and main features of the present application and the advantages of the present application are shown and described above. It should be understood by those skilled in the art that the present application is not limited by the above-mentioned embodiments, and various changes and improvements can be made to the present application without departing from the spirit and scope of the present application, and these changes and improvements all fall within the scope of the present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A power grid control optimization system based on continuous optimization and iteration, characterized in that: It includes modules for power grid topology modeling, node information database, power grid imbalance model library, real-time power grid operation data monitoring, power grid optimization strategy modeling, power grid stability evaluation modeling, and power grid optimization strategy decision support. The power grid topology model module is a node-based power grid model established based on data and network topology. It includes network topology parameters, node location parameters, node capacity parameters, node control equipment, load parameters, and line node connection relationships of the power grid. These serve as the basic data for the power grid model and are used for reactive and active power switching control of the power grid based on nodes. The nodes are transformer nodes of transmission or distribution lines or load nodes. The node information database module is used to record and update relevant information data of the node, including details of the node's operating equipment and node operating parameters, as well as information on the operating relationship between the node and its neighboring nodes. The power grid imbalance model library module includes voltage, current, or three-phase imbalance calculation models. The real-time power grid operation data monitoring module is used to monitor and record real-time power grid operation data, monitor the stability of power grid operation, and optimize the power grid according to the optimization strategy recommended by the power grid operation optimization strategy decision support module once an imbalance occurs. The power grid optimization strategy model module includes various optimization strategy models that have been historically verified or are currently recommended. The power grid stability evaluation model module includes power flow calculation and various stability evaluation models; The power grid optimization strategy decision support module includes a power grid operation support submodule and a power grid line change optimization simulation submodule. The power grid operation support submodule is used to monitor and calculate the stability of the power grid during operation based on the real-time operation data of the power grid real-time operation data monitoring module. The calculation is performed using relevant models in the power grid imbalance model library module. Then, after simulation based on relevant optimization strategy models in the power grid optimization strategy model module, the model with the highest stability evaluation is selected. Based on the network topology, node location and node capacity information of the power grid lines and node control equipment in the power grid topology model module, the optimization control strategy during operation is executed. The power grid line change optimization simulation submodule is used to establish a simulation model and recommend optimization strategies for a period of time after the addition or change of power grid lines when new lines need to be added or lines need to be changed. The optimization strategy is then iterated to the power grid operation support submodule as an optimization strategy for the relevant time period, as a supplement to the power grid operation optimization strategy, and supports the final optimization control of operation.

2. The power grid control optimization system based on continuous optimization iteration as described in claim 1, characterized in that: The power grid line change optimization simulation submodule can, when a new line needs to be added or a line is changed in the power grid, first establish a first imbalance model of the changed part of the line based on the changed line, configure a first optimization strategy, and run a power grid stability evaluation model according to the first optimization strategy to obtain a stability evaluation value I. Then, it combines the changed line and corresponding node information with the existing power grid topology simulation, establishes a second imbalance model of the extended nodes of the line change based on the updated power grid topology, configures a second optimization strategy, and performs stability evaluations of the changed part of the line and the line range of the extended nodes to obtain stability evaluation values ​​II and III, respectively.

3. The power grid control optimization system based on continuous optimization iteration as described in claim 2, characterized in that: If stability evaluation values ​​II and III meet the requirements, the second optimization strategy is adopted; if stability evaluation values ​​I and III meet the requirements, the first optimization strategy is adopted.

4. The power grid control optimization system based on continuous optimization iteration as described in claim 2, characterized in that: The method for selecting the extension nodes of the line change involves comparing the distribution of the difference data between the simulated voltage change, current change, or three-phase imbalance change of each node and the corresponding historical data in the simulated updated power grid topology. The algorithm determines the affected nodes when the difference data reaches a certain range, and selects all affected nodes as extension nodes of the line change.

5. The power grid control optimization system based on continuous optimization iteration as described in claim 4, characterized in that: Histograms or Markov chain algorithms can be used to identify affected nodes where the discrepancies in the data reach a certain range.

6. The power grid control optimization system based on continuous optimization iteration as described in claim 2, characterized in that: When establishing the second imbalance model for the extended nodes of the line change and configuring the second optimization strategy, based on different models and expert systems of the power grid optimization strategy model module, the second optimization strategy is continuously optimized with the stability evaluation value II meeting the requirements as the first objective function and the stability evaluation value III meeting the requirements as the second objective function, and finally the second optimization strategy that meets the requirements is adopted.

7. The power grid control optimization system based on continuous optimization iteration as described in claim 3 or 6, characterized in that: After the line change is completed and for a period of time after grid connection, the range of the line change itself and the range of the extended nodes are treated as a group for grid control optimization, and iterated to the grid operation support submodule as a supplement to the grid operation optimization strategy to support the final optimization control of grid operation.

8. An optimization method for a power grid control optimization system based on continuous optimization iteration as described in claim 1, characterized in that, Includes the following steps: Step 1: Obtain the power grid topology model and real-time power grid operation data, monitor the stability of power grid operation, and optimize the power grid according to the optimization strategy recommended by the power grid operation optimization strategy decision support module once an imbalance is detected. Step 2: When it is necessary to add new lines or change existing lines, the power grid line change optimization simulation submodule of the power grid operation optimization strategy decision support module is run. By building two models, one for the range of line changes and the other for the range of expanded nodes, the control optimization strategy is selected. Step 3: After the line change is completed, update the power grid topology model and the database of newly added or changed node information, and for a period of time after the line change is connected to the grid, use the control optimization strategy selected in Step 2 to control within the range of the extended nodes. Step four: Update the control optimization strategy and extended node range selected in step two to the power grid operation support submodule of the power grid optimization strategy decision support module, and perform power grid optimization on all other power grid lines outside the extended node range according to a unified optimization strategy, or perform control optimization using a group control model after reallocation.

9. The optimization method as described in claim 8, characterized in that: Step two involves building two models, one for the range of line changes and the other for the range of extended nodes, and configuring optimization strategies for each. One of these optimization strategies is selected as the final optimization strategy, or an optimization algorithm is established with the stability evaluation value of the newly added part of the line and the extended node part within the range of extended nodes as the objective function, and the final control optimization strategy is continuously optimized.

10. A storage medium storing a program, characterized in that, When the program is executed by the processor, it implements the optimization method as described in any one of claims 8 to 9.

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