Optimization method and system for cooperative control of power flow short circuit of power grid

Abstract

The invention discloses an optimization method and system for power grid power flow short circuit cooperative control, relates to the technical field of power grid control optimization, and aims to solve the problem that no systematic system and method for power flow, short circuit and power quality cooperative control is available after new energy is accessed. The method comprises the following steps: determining a potential application area, selecting the potential application area conforming to power flow short circuit cooperative control in a new energy access scene, and determining the optimal application opportunity of a power flow short circuit cooperative control strategy in the area; selecting a typical subsystem application scene, and selecting a plurality of sub-substations and near-area network sub-systems with load flow short-circuit cooperative control in an energy access scene; and formulating a cooperative control strategy, superposing constraint conditions, carrying out objective function calculation, and solving to obtain an optimal scheme of power grid power flow short circuit cooperative control in the new energy access scene. The method is helpful for solving the defects of the existing related empirical methods, and provides a beneficial reference for a power grid flow short circuit cooperative control method in a new energy access scene.

Description

Technical Field

[0001] This invention relates to the field of power grid control optimization technology, specifically to an optimization method and system for coordinated control of power flow and short circuits in power grids. Background Technology

[0002] With the increasing density of power systems and the strong demand for new energy integration, power quality problems such as power flow balance between different power supply areas, short-circuit control, insufficient voltage support, power quality issues, and broadband oscillations caused by new energy integration are becoming increasingly prominent.

[0003] Currently, there is a lack of systematic methods and approaches for the coordinated control of power flow, short circuit, and power quality after the integration of new energy sources (e.g., Chinese patent with publication number CN112101708A). The selection of power supply area needs is mainly based on the method of referring to existing engineering cases, and there is a lack of a quantitative evaluation system. For coordinated control schemes, empirical analysis methods are mostly used, and there is a lack of a systematic solution process for control schemes. Summary of the Invention

[0004] This invention addresses the lack of a systematic approach and methodology for the coordinated control of power flow, short circuits, and power quality after the integration of new energy sources. It proposes an optimized method and system for coordinated control of power flow and short circuits in the power grid. By establishing an evaluation system with clearly defined indicators, the optimal method for coordinated control of power flow and short circuits in the scenario of new energy integration is obtained. This includes the selection of demand scenarios and the coordinated control strategy and optimal solution. This can provide a reference for the planning, preliminary research, and subsequent construction of the power grid under the scenario of new energy integration, offering a coordinated control optimization scheme.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: an optimization method for coordinated control of power flow and short circuit in power grids, comprising the following steps: S1. Identify potential application areas, select potential application areas that meet the requirements of power flow short-circuit coordinated control under the new energy access scenario, and determine the best application time of the power flow short-circuit coordinated control strategy in the area. S2, Select typical subsystem application scenarios, and select several sub-substations and near-area grid subsystems with power flow short-circuit coordinated control under energy access scenarios; S3. Formulate a coordinated control strategy, superimpose constraints, calculate the objective function, and solve for the optimal solution for coordinated control of power flow and short circuit in the scenario of new energy access.

[0006] In this invention, the applicable characteristics of each area of ​​the power grid are analyzed, and potential application areas that meet the requirements of power flow and short-circuit coordinated control under the scenario of new energy access are selected. Then, the application timing of the power flow and short-circuit coordinated control strategy in the area is determined. Within each selected potential area, several substations and near-area grid subsystems with power flow and short-circuit coordinated control under the scenario of new energy access are selected to form several typical application scenarios of subsystems. In the formed typical subsystems, the depth of power flow control demand, the depth of short-circuit control demand, and the depth of power quality demand are evaluated to form the control strategy of each subsystem. Finally, the objective function of power flow and short-circuit coordinated control of the power grid under the scenario of new energy access is constructed, and the optimal selection of the coordinated control scheme is obtained by solving the problem.

[0007] The present invention is further configured such that the selection of the potential application area includes: An evaluation matrix is ​​constructed for each area, and a score vector is calculated based on the evaluation matrix. Each area is ranked according to the comprehensive score vector, and the areas to be prioritized for collaborative control are selected through quantitative evaluation.

[0008] In this technical solution, an evaluation matrix is ​​formed for each region based on the power flow transmission pressure, short-circuit current level, and power quality indicators caused by the access of new energy sources. A scoring vector is then calculated based on the evaluation matrix.

[0009] The present invention is further configured such that determining the optimal application timing includes: Based on the potential application areas, calculate the short-circuit current growth rate index λ for each area in year i. I (t i ), Trend Dynamic Growth Rate Indicator Θ P (t i Power quality index values ​​ξ for new energy access and new energy sources E (t i ), construct the application timing evaluation matrix T.

[0010] In this technical solution, the optimal application time is selected by constructing an application evaluation matrix.

[0011] The present invention is further configured such that step S2 includes: Within the potential application area, a typical subsystem consisting of a substation and a nearby power grid is selected. The selection principle for the subsystem considers the main transformer load rate index τ of the i-th subsystem scenario. C (z i The near-field transmission line load factor η for the i-th subsystem scenario D (z i The near-field site short-circuit current index φ of the i-th subsystem scenario I (z i The power quality index level μ of the i-th subsystem scenario and the i-th subsystem scenario E (zi ), and form the subsystem scene matrix Z.

[0012] In this technical solution, a subsystem scenario matrix is ​​constructed, and then typical subsystems are selected.

[0013] The present invention is further configured such that: the formulation of the collaborative control strategy includes: in the formed typical subsystem, calculating the flexibility requirement coefficient of the power flow control module, evaluating the power flow control requirement depth, calculating the requirement coefficient of the short circuit control module, evaluating the short circuit control requirement depth, calculating the requirement coefficient of the power quality index of the new energy access, evaluating the power quality requirement depth, and forming the control strategy of each subsystem.

[0014] The present invention is further configured such that step S3 includes: constructing an objective function matrix for power flow short-circuit coordinated control under the scenario of new energy access based on the selection of the subsystem control strategy; calculating the objective function F based on the above matrix; and determining the optimal scheme for power flow short-circuit coordinated control under the scenario of new energy access by ranking the minimum value of the calculation results.

[0015] The present invention is further configured such that: the evaluation matrix elements mainly include the power flow transport pressure index σ of the i-th region. L (x i The short-circuit current index β of the i-th region L (x i The power quality index γ of the i-th region THD (x i ).

[0016] The present invention is further configured such that: the objective function matrix includes the main transformer load rate optimization index Δτ for the i-th subsystem scenario. Ci The power flow balance improvement index Δη for the i-th subsystem scenario Di The short-circuit current variation index Δφ in the i-th subsystem scenario Ii The power quality improvement index Δμ for the i-th subsystem scenario Ei The weighting coefficients for the main transformer load rate optimization index, power flow balance improvement index, short-circuit current change index, and power quality improvement index.

[0017] The present invention is further configured such that: the step of calculating the scoring vector based on the evaluation matrix includes: calculating the scoring vector based on the evaluation matrix, combined with the weighting coefficients of the power flow pressure index, the short-circuit current index, and the power quality index.

[0018] In this technical solution, the final scoring vector is obtained through weighting and calculation.

[0019] An optimization system for coordinated short-circuit control of power grid flow, applicable to the aforementioned optimization method for coordinated short-circuit control of power grid flow, includes, The first selection module: selects potential application areas that meet the requirements of power flow short-circuit collaborative control under the new energy access scenario; The second selection module: Determines the optimal application time for the power flow short-circuit coordinated control strategy in the region; The third selection module: Selecting typical subsystem application scenarios; Strategy formulation module: Develops control strategies based on in-depth requirements; Calculation module: Solve for the optimal solution of power flow short-circuit coordinated control in the scenario of new energy access.

[0020] In this technical solution, the first selection module is connected to the second selection module, the second selection module is connected to the third selection module, the third selection module is connected to the strategy formulation module, and the strategy formulation module is connected to the calculation module.

[0021] The present invention can bring the following beneficial effects: This application addresses the coordinated control of power flow and short circuits in grid systems under renewable energy integration scenarios. It employs explicit and quantitative constraints, comprehensively considering the demand areas, application time, subsystem scenario selection, coordinated control strategy specification, and specific control schemes for coordinated control. It solves the problem of coordinated control of power flow and short circuits in renewable energy integration scenarios, and provides an optimized method for coordinated control of power flow and short circuits in grid systems. This helps to overcome the shortcomings of existing empirical methods and provides a useful reference for coordinated control methods of power flow and short circuits in grid systems under renewable energy integration scenarios. Attached Figure Description

[0022] Figure 1 This is a flowchart illustrating an optimization method for coordinated short-circuit control of power grid flow according to this application.

[0023] Figure 2 This is a schematic diagram of the framework of an optimized system for coordinated control of power flow and short circuits in a power grid, as described in this application. Detailed Implementation

[0024] Example 1 Based on the technical problems existing in the prior art, this embodiment proposes an optimization method for coordinated control of power grid power flow and short circuits, referring to... Figure 1 By establishing an evaluation system with clear indicators, the optimal method for coordinated control of power flow and short circuit in the scenario of new energy access is obtained, including the selection of demand scenarios and coordinated control strategies and optimal solutions. This can provide a reference for the planning, preliminary research and later construction of the power grid in the scenario of new energy access.

[0025] The technical solution of this embodiment mainly includes the following steps.

[0026] Step S1: Identify potential application areas and select potential application areas that meet the requirements of power flow short-circuit coordinated control under the new energy access scenario; then, based on the selected potential application areas, determine the application timing of the power flow short-circuit coordinated control strategy in the areas.

[0027] Step S2: Based on the selected optimal application timing, select typical subsystem application scenarios. Specifically, select several sub-substations and near-area grid subsystems that have power flow short-circuit coordinated control under energy access scenarios.

[0028] Step S3: Based on the above selection results, control strategies are formed in each selected subsystem according to the depth requirements, constraints are superimposed, objective function is calculated, and the optimal solution for grid power flow short-circuit coordinated control under the new energy access scenario is obtained.

[0029] The selection of the aforementioned potential reference areas includes the following process: First, an evaluation matrix is ​​established for each area. Then, a score vector is calculated based on the evaluation matrix. Each area is sorted according to the comprehensive score vector, and the areas to be prioritized for collaborative control are selected through quantitative evaluation.

[0030] In this embodiment, an evaluation matrix is ​​formed for each region based on the power flow transmission pressure, short-circuit current level, and power quality indicators caused by the access of new energy sources. A scoring vector is then calculated based on the evaluation matrix.

[0031] For the evaluation matrix (G), its elements mainly include the power flow transport pressure index σ of the i-th region. L (x i The short-circuit current index β of the i-th region L (x i and the power quality index γ of the i-th region. THD (x i ).

[0032] Based on the aforementioned evaluation matrix (G), and combining the weighting coefficients of the power flow pressure index, short-circuit current index, and power quality index, the final score vector (ω) is calculated. Each region is ranked according to the comprehensive score vector, and areas prioritized for collaborative control are selected through quantitative evaluation.

[0033] In this embodiment, the final score vector is obtained through weighting and calculation.

[0034] After selecting potential application areas, the optimal application time for the power flow short-circuit coordinated control strategy in each area is then determined.

[0035] Determining the optimal application timing mainly involves the following process: Based on the selected potential application areas, the short-circuit current growth rate index λ for each area in year i is calculated. I (t i ), Dynamic growth rate index Θ P (t i ) and the power quality index value ξ for new energy access E (t i ), comprehensively evaluate the application timing of the collaborative control scheme, and construct the application timing evaluation matrix T.

[0036] In step S2, from the selected potential application areas, a typical subsystem consisting of a substation and a nearby power grid is chosen. The selection criteria for the subsystem comprehensively consider the main transformer load rate index τ of the i-th subsystem scenario. C (z i The near-field transmission line load factor η for the i-th subsystem scenario D (z i The near-field site short-circuit current index φ of the i-th subsystem scenario I (z i The power quality index level μ of the i-th subsystem scenario and the i-th subsystem scenario E (z i ), and form the subsystem scene matrix Z.

[0037] In this embodiment, a subsystem scenario matrix is ​​constructed, and then typical subsystems are selected.

[0038] The process of formulating the above-mentioned coordinated control strategy mainly includes: in the formed typical subsystem, calculating the flexibility demand coefficient of the power flow control module to assess the depth of power flow control demand, calculating the demand coefficient of the short circuit control module to assess the depth of short circuit control demand, calculating the demand coefficient of the power quality index of the new energy access to assess the depth of power quality demand, and finally forming the control strategy of each subsystem.

[0039] More specifically, in a typical subsystem, the flexibility requirement coefficient τ of the main transformer load rate control module in the i-th subsystem scenario is calculated. Ci Then, assess the depth of the main transformer load rate demand; calculate the flexibility requirement coefficient η of the power flow control module for the i-th subsystem scenario. Di Then, assess the depth of power flow control demand; calculate the short-circuit control demand coefficient φ for the i-th subsystem scenario. Ii Then, assess the depth of short-circuit control demand; calculate the power quality improvement demand coefficient μ for the i-th subsystem scenario. Ei This allows for the assessment of the depth of demand for power quality improvement, resulting in a subsystem depth demand coefficient matrix.

[0040] Subsequently, based on the aforementioned demand coefficient matrix and the weights of each demand coefficient, a demand coefficient applicability vector matrix (M) is constructed. Different types of demand coefficients are then evaluated to obtain an optimized control strategy.

[0041] Based on the selection of subsystem control strategies, an objective function matrix for coordinated power flow and short-circuit control of the power grid under the scenario of new energy access is constructed, including the main transformer load rate optimization index Δτ for the i-th subsystem scenario. Ci The power flow balance improvement index Δη for the i-th subsystem scenario Di The short-circuit current variation index Δφ in the i-th subsystem scenario Ii The power quality improvement index Δμ for the i-th subsystem scenario Ei The weighting coefficients for the main transformer load rate optimization index, power flow balance improvement index, short-circuit current change index, and power quality improvement index.

[0042] The objective function F is calculated based on the matrix composed of the above variables. The minimum value in the calculation results corresponds to the optimal scheme for power flow and short circuit coordinated control under the new energy access scenario. This indicates that the coordinated control scheme is the best in terms of reasonable power flow allocation, short circuit current suppression, and power quality management. The corresponding coordinated control scheme is the optimal scheme for power flow and short circuit coordinated control under the new energy access scenario.

[0043] After the above steps, the optimal solution for grid power flow short-circuit coordinated control under the scenario of new energy access can be obtained.

[0044] This technical solution mainly includes the following processes: analyzing the applicable characteristics of each area of ​​the power grid and selecting potential application areas that meet the requirements of power flow and short-circuit coordinated control under the scenario of new energy access; determining the application timing of the power flow and short-circuit coordinated control strategy in the selected potential application areas; selecting several substations and near-area grid subsystems with power flow and short-circuit coordinated control under the scenario of new energy access within each selected potential area, forming several typical application scenarios for subsystems; calculating the flexibility requirement coefficient of the power flow control module and evaluating the depth of power flow control requirement in the typical subsystems, calculating the requirement coefficient of the short-circuit control module and evaluating the depth of short-circuit control requirement, calculating the requirement coefficient of the power quality index of new energy access and evaluating the depth of power quality requirement, and forming the control strategy for each subsystem; based on the selection of the subsystem control strategy, constructing the objective function of power flow and short-circuit coordinated control of the power grid under the scenario of new energy access, including the composite variables of power flow control, short-circuit control and power quality brought by new energy access, and solving for the optimal selection of the coordinated control scheme.

[0045] Example 2 In existing technologies, there is a lack of systematic methods and approaches for the coordinated control of power flow, short circuits, and power quality after the integration of new energy sources. The selection of supply area demand is primarily based on existing engineering cases, lacking a quantitative evaluation system. Furthermore, coordinated control schemes often rely on empirical analysis, lacking a systematic solution process. To address these technical problems, this embodiment proposes an optimization method for coordinated control of power flow and short circuits in power grids. By establishing an evaluation system with clearly defined indicators, the optimal method for coordinated control of power flow and short circuits in new energy integration scenarios is obtained. This includes the selection of demand scenarios and the coordinated control strategy and optimal scheme, providing a reference for the planning, preliminary research, and subsequent construction of power grids under new energy integration scenarios.

[0046] The technical solution of this embodiment mainly includes the following steps.

[0047] Step S1: Identify potential application areas and select potential application areas that meet the requirements of power flow short-circuit coordinated control under the new energy access scenario; then, based on the selected potential application areas, determine the application timing of the power flow short-circuit coordinated control strategy in the areas.

[0048] Step S2: Based on the selected optimal application timing, select typical subsystem application scenarios. Specifically, select several sub-substations and near-area grid subsystems that have power flow short-circuit coordinated control under energy access scenarios.

[0049] Step S3: Based on the above selection results, control strategies are formed in each selected subsystem according to the depth requirements, constraints are superimposed, objective function is calculated, and the optimal solution for grid power flow short-circuit coordinated control under the new energy access scenario is obtained.

[0050] The selection of the aforementioned potential reference areas includes the following process: First, an evaluation matrix is ​​established for each area. Then, a score vector is calculated based on the evaluation matrix. Each area is sorted according to the comprehensive score vector, and the areas to be prioritized for collaborative control are selected through quantitative evaluation.

[0051] In this embodiment, an evaluation matrix is ​​formed for each region based on the power flow transmission pressure, short-circuit current level, and power quality indicators caused by the access of new energy sources. A scoring vector is then calculated based on the evaluation matrix.

[0052] For the evaluation matrix (G), its elements mainly include the power flow transport pressure index σ of the i-th region. L (x i The short-circuit current index β of the i-th region L (x i and the power quality index γ of the i-th region. THD (xi ).

[0053] Based on the aforementioned evaluation matrix (G), and combining the weighting coefficients of the power flow pressure index, short-circuit current index, and power quality index, the final score vector (ω) is calculated. Each region is ranked according to the comprehensive score vector, and areas prioritized for collaborative control are selected through quantitative evaluation.

[0054] In this embodiment, the final score vector is obtained through weighting and calculation.

[0055] After selecting potential application areas, the optimal application time for the power flow short-circuit coordinated control strategy in each area is then determined.

[0056] Determining the optimal application timing mainly involves the following process: Based on the selected potential application areas, the short-circuit current growth rate index λ for each area in year i is calculated. I (t i ), Dynamic growth rate index Θ P (t i ) and the power quality index value ξ for new energy access E (t i ), comprehensively evaluate the application timing of the collaborative control scheme, and construct the application timing evaluation matrix T.

[0057] In step S2, from the selected potential application areas, a typical subsystem consisting of a substation and a nearby power grid is chosen. The selection criteria for the subsystem comprehensively consider the main transformer load rate index τ of the i-th subsystem scenario. C (z i The near-field transmission line load factor η for the i-th subsystem scenario D (z i The near-field site short-circuit current index φ of the i-th subsystem scenario I (z i The power quality index level μ of the i-th subsystem scenario and the i-th subsystem scenario E (z i ), and form the subsystem scene matrix Z.

[0058] In this embodiment, a subsystem scenario matrix is ​​constructed, and then typical subsystems are selected.

[0059] The process of formulating the above-mentioned coordinated control strategy mainly includes: in the formed typical subsystem, calculating the flexibility demand coefficient of the power flow control module to assess the depth of power flow control demand, calculating the demand coefficient of the short circuit control module to assess the depth of short circuit control demand, calculating the demand coefficient of the power quality index of the new energy access to assess the depth of power quality demand, and finally forming the control strategy of each subsystem.

[0060] More specifically, in a typical subsystem, the flexibility requirement coefficient τ of the main transformer load rate control module in the i-th subsystem scenario is calculated. Ci Then, assess the depth of the main transformer load rate demand; calculate the flexibility requirement coefficient η of the power flow control module for the i-th subsystem scenario. Di Then, assess the depth of power flow control demand; calculate the short-circuit control demand coefficient φ for the i-th subsystem scenario. Ii Then, assess the depth of short-circuit control demand; calculate the power quality improvement demand coefficient μ for the i-th subsystem scenario. Ei This allows for the assessment of the depth of demand for power quality improvement, resulting in a subsystem depth demand coefficient matrix.

[0061] Subsequently, based on the aforementioned demand coefficient matrix and the weights of each demand coefficient, a demand coefficient applicability vector matrix (M) is constructed. Different types of demand coefficients are then evaluated to obtain an optimized control strategy.

[0062] Based on the selection of subsystem control strategies, an objective function matrix for coordinated power flow and short-circuit control of the power grid under the scenario of new energy access is constructed, including the main transformer load rate optimization index Δτ for the i-th subsystem scenario. Ci The power flow balance improvement index Δη for the i-th subsystem scenario Di The short-circuit current variation index Δφ in the i-th subsystem scenario Ii The power quality improvement index Δμ for the i-th subsystem scenario Ei The weighting coefficients for the main transformer load rate optimization index, power flow balance improvement index, short-circuit current change index, and power quality improvement index.

[0063] The objective function F is calculated based on the matrix composed of the above variables. The minimum value in the calculation results corresponds to the optimal scheme for power flow and short circuit coordinated control under the new energy access scenario. This indicates that the coordinated control scheme is the best in terms of reasonable power flow allocation, short circuit current suppression, and power quality management. The corresponding coordinated control scheme is the optimal scheme for power flow and short circuit coordinated control under the new energy access scenario.

[0064] After the above steps, the optimal solution for grid power flow short-circuit coordinated control under the scenario of new energy access can be obtained.

[0065] Based on Example 1, and referring to Figure 1and Figure 2 This embodiment proposes an optimization system for coordinated control of power flow and short circuit in power grids, which mainly includes a first selection module, a second selection module, a third selection module, a strategy formulation module, and a calculation module. The first selection module is connected to the second selection module, the second selection module is connected to the third selection module, the third selection module is connected to the strategy formulation module, and the strategy formulation module is connected to the calculation module.

[0066] The first selection module, second selection module, third selection module, strategy formulation module, and calculation module can work collaboratively to complete the following process: Analyze the applicable characteristics of each area of ​​the power grid and select potential application areas that meet the requirements of power flow and short-circuit coordinated control under the scenario of new energy access; determine the application timing of the power flow and short-circuit coordinated control strategy in the selected potential application areas; select several substations and near-area grid subsystems with power flow and short-circuit coordinated control under the scenario of new energy access within each selected potential area, forming several typical application scenarios for subsystems; in the formed typical subsystems, calculate the flexibility requirement coefficient of the power flow control module, evaluate the power flow control requirement depth, calculate the requirement coefficient of the short-circuit control module, evaluate the short-circuit control requirement depth, calculate the requirement coefficient of the power quality index of new energy access, evaluate the power quality requirement depth, and form the control strategy for each subsystem; based on the selection of the subsystem control strategy, construct the objective function of power flow and short-circuit coordinated control of the power grid under the scenario of new energy access, including the composite variables of power flow control, short-circuit control, and power quality brought by new energy access, and solve for the optimal selection of the coordinated control scheme.

[0067] In this embodiment, the first selection module is specifically the potential application area selection module. As the name suggests, its main function is to select potential application areas that meet the requirements of power flow short-circuit collaborative control under the new energy access scenario.

[0068] In this embodiment, the second selection module is specifically a collaborative control application timing selection module, which can perform the function of determining the best application timing of the power flow short-circuit collaborative control strategy in each area.

[0069] The first selection module and the second selection module can execute the process of step S1.

[0070] In this embodiment, the third selection module is specifically a typical subsystem application scenario selection module, which can perform the following functions: select several sub-substations and near-area grid subsystems that have power flow short-circuit coordinated control under energy access scenarios in each potential access area.

[0071] The third selection module can execute the process of step S2.

[0072] In this embodiment, the strategy formulation module is specifically a collaborative control strategy formulation module, which can perform the following function: to form control strategies in each selected subsystem according to the depth requirements.

[0073] In this embodiment, the calculation module is specifically a constraint condition and objective function calculation module. Its function is to construct the objective function of power flow and short circuit coordinated control of the power grid under the scenario of new energy access, including constraints such as power flow control, short circuit control and power quality brought by new energy access, and solve for the optimal solution of power flow and short circuit coordinated control of the power grid under the scenario of new energy access.

[0074] The strategy formulation module and the calculation module are able to execute the process of step S3.

Claims

1. An optimization method for coordinated control of power flow and short circuit in a power grid, characterized in that, Includes the following steps: S1. Identify potential application areas, select potential application areas that meet the requirements of power flow short-circuit coordinated control under the new energy access scenario, and determine the best application time of the power flow short-circuit coordinated control strategy in the area. S2, Select typical subsystem application scenarios, and select several sub-substations and near-area grid subsystems with power flow short-circuit coordinated control under energy access scenarios; S3. Formulate a coordinated control strategy, superimpose constraints, calculate the objective function, and solve for the optimal solution for coordinated control of power flow short circuit in the scenario of new energy access.

2. The optimization method for coordinated short-circuit control of power grid flow according to claim 1, characterized in that, The selection of potential application regions includes: An evaluation matrix is ​​constructed for each region. A score vector is calculated based on the evaluation matrix. Each region is ranked according to the comprehensive score vector. Through quantitative evaluation, regions that should be prioritized for collaborative control are selected.

3. An optimization method for coordinated short-circuit control of power grid flow according to claim 1 or 2, characterized in that, Determining the optimal application time includes: Based on the potential application areas, calculate the short-circuit current growth rate index λ for each area in year i. I (t i ), Trend Dynamic Growth Rate Indicator Θ P (t i Power quality index values ​​ξ for new energy access and new energy sources E (t i ), construct the application timing evaluation matrix T.

4. The optimization method for coordinated short-circuit control of power grid flow according to claim 3, characterized in that, Step S2 includes: Within the potential application area, a typical subsystem consisting of a substation and a nearby power grid is selected. The selection principle for the subsystem considers the main transformer load rate index τ of the i-th subsystem scenario. C (z i The near-field transmission line load factor η for the i-th subsystem scenario D (z i The near-field site short-circuit current index φ of the i-th subsystem scenario I (z i The power quality index level μ of the i-th subsystem scenario and the i-th subsystem scenario E (z i ), and form a subsystem scene matrix Z.

5. An optimization method for coordinated short-circuit control of power grid flow according to claim 1 or 2, characterized in that, The formulation of the collaborative control strategy includes: in the formed typical subsystem, calculating the flexibility requirement coefficient of the power flow control module, assessing the power flow control requirement depth, calculating the requirement coefficient of the short circuit control module, assessing the short circuit control requirement depth, calculating the requirement coefficient of the power quality index of the new energy access, assessing the power quality requirement depth, and forming the control strategy for each subsystem.

6. The optimization method for coordinated short-circuit control of power grid flow according to claim 5, characterized in that, Step S3 includes: constructing an objective function matrix for power flow short-circuit coordinated control under the new energy access scenario based on the selection of the subsystem control strategy; calculating the objective function F based on the matrix; and determining the optimal scheme for power flow short-circuit coordinated control under the new energy access scenario by ranking the minimum value of the calculation results.

7. The optimization method for coordinated short-circuit control of power grid flow according to claim 2, characterized in that, The evaluation matrix elements mainly include the tidal transport pressure index σ of the i-th region. L (x i The short-circuit current index β of the i-th region L (x i The power quality index γ of the i-th region THD (x i ).

8. The optimization method for coordinated short-circuit control of power grid flow according to claim 6, characterized in that, The objective function matrix includes the main transformer load rate optimization index Δτ for the i-th subsystem scenario. Ci The power flow balance improvement index Δη for the i-th subsystem scenario Di The short-circuit current variation index Δφ in the i-th subsystem scenario Ii The power quality improvement index Δμ for the i-th subsystem scenario Ei The weighting coefficients for the main transformer load rate optimization index, power flow balance improvement index, short-circuit current change index, and power quality improvement index.

9. The optimization method for coordinated short-circuit control of power grid flow according to claim 2, characterized in that, The step of calculating the scoring vector based on the evaluation matrix includes: calculating the scoring vector based on the evaluation matrix, combined with the weighting coefficients of the power flow pressure index, short-circuit current index, and power quality index.

10. An optimization system for power grid power flow short-circuit coordinated control, applicable to the optimization method for power grid power flow short-circuit coordinated control as described in any one of claims 1-9, characterized in that, include, The first selection module: selects potential application areas that meet the requirements of power flow short-circuit collaborative control under the new energy access scenario; The second selection module: Determines the optimal application time for the power flow short-circuit coordinated control strategy in the region; The third selection module: Selecting typical subsystem application scenarios; Strategy formulation module: Develops control strategies based on in-depth requirements; Calculation module: Solve for the optimal solution of power flow short-circuit coordinated control in the scenario of new energy access.

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