Future state operation mode generation method and device, storage medium and computer equipment

Abstract

The future state operation mode generation method, device, storage medium and computer equipment provided by the application first generate a plurality of active scenarios in the to-be-analyzed scene when generating an operation mode; then, N-1 DC power flow calculation is performed on each scenario to record each scenario as a qualified mode or an unqualified mode according to the calculation result, and generate a steady-state file of the active scenario of each qualified mode; subsequently, a reactive power configuration strategy combining an AI algorithm and a configuration rule is used to perform reactive power configuration and power flow calculation on each steady-state file, so that the calculation efficiency can be improved while the deviation is reduced; in the calculation result, the active scenario that does not converge is recorded as a reactive power non-convergent mode, and the active scenario that converges is subjected to voltage qualified rate improvement, and is recorded as a convergent but voltage unqualified mode or a usable mode according to the improvement result, and through the generation mode of the active scenario, the application can quickly analyze and obtain the operation condition of the system under different scenarios.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a method, apparatus, storage medium and computer equipment for generating future operating modes. Background Technology

[0002] The generation and analysis of future operating modes are fundamental to the safe and stable operation of power systems. Traditionally, operators generate several convergent and voltage-reasonable typical future operating modes by manually adjusting the configuration of capacitors / reactors in the power system based on typical new energy and load data. This process takes several hours or even days.

[0003] In high-proportion renewable energy power systems, operating modes change frequently, and safety and stability characteristics are profoundly altered. However, traditional generation methods are insufficient to fully cover system safety risks, leading to significant renewable energy curtailment losses. To address this, the industry has proposed rule-based adjustment methods and data-driven methods. However, rule-based adjustment methods require multiple iterative adjustments, resulting in low computational efficiency, while data-driven methods, although highly efficient in parallel computation, exhibit significant deviations in unknown scenarios. Summary of the Invention

[0004] The purpose of this application is to at least solve one of the aforementioned technical defects, particularly the technical defects of existing rule adjustment methods, which require multiple iterative adjustments and have low computational efficiency, while data-driven methods, although having high parallel computational efficiency, suffer from large deviations in unknown scenarios.

[0005] This application provides a method for generating future-state operation modes, the method comprising: Obtain the baseline mode file and the scenario to be analyzed of the power system, and generate multiple active power scenarios in the scenario to be analyzed; For each active power scenario, perform N-1 DC power flow calculations according to the preset number of adjustments, and record each active power scenario as qualified or unqualified according to the calculation results. Based on the benchmark mode file, active power values ​​are assigned to the active power scenarios of each qualified mode to obtain a steady-state file corresponding to each qualified mode; the steady-state file records the power flow initial value information of the corresponding active power scenario. Based on the reactive power configuration strategy, AI algorithms or configuration rules are used to configure reactive power for each steady-state file, and power flow calculation is performed on the configured steady-state file to obtain the calculation results; The active power scenarios that do not converge in the calculation results are recorded as reactive power non-convergence mode. The voltage qualification rate of the converged active power scenarios in the calculation results is improved, and the converged active power scenarios are recorded as converged but voltage unqualified mode or usable mode according to the improvement results.

[0006] Optionally, generating multiple active scenarios in the scenario to be analyzed includes: Determine the variable constraints of the scenario to be analyzed; the variable constraints are the sampling constraints generated by each variable in the power system under the active power mode; Multiple active scenarios are generated within the scope of the variable constraints.

[0007] Optionally, the step of performing N-1 DC power flow calculations for each active power scenario according to a preset number of adjustments, and sequentially recording each active power scenario as either qualified or unqualified based on the calculation results, includes: For each active power scenario, a fault simulation of any component is performed for that active power scenario, and the power flow distribution of the fault simulation results is calculated using a DC power flow model, and it is determined whether the power flow distribution meets the preset qualification conditions. If so, then record the active scenario as a qualified method; If not, then adjust the active power distribution for the active power scenario and recalculate the N-1 DC power flow. If the number of adjustments for the active scenario reaches the preset number of adjustments and still does not meet the qualified condition, then the active scenario is recorded as an unqualified mode.

[0008] Optionally, the reactive power configuration strategy, employing AI algorithms or configuration rules, is used to configure reactive power for each steady-state file, and power flow calculation is performed on the configured steady-state files to obtain the calculation results, including: AI algorithms are used to configure reactive power for each steady-state file, and power flow calculations are performed on the configured steady-state files to obtain the calculation results; If there are non-converged active power scenarios in the calculation results, the reactive power of the steady-state file of the non-converged active power scenario is adjusted using configuration rules, and power flow calculation is performed on the adjusted steady-state file to obtain the final calculation result of the non-converged active power scenario.

[0009] Optionally, the step of improving the voltage qualification rate of the converged active power scenarios in the calculation results, and recording the corresponding active power scenarios as converged but voltage unqualified or usable modes based on the improvement results, includes: Voltage analysis is performed on the converged active power scenario in the calculation results to obtain the analysis results; If there are nodes or balancing machines that exceed the limits in the analysis results, the terminal voltage of the converged active power scenario is adjusted, and the voltage result of the adjusted active power scenario is determined. If the voltage result is unqualified, the corresponding active power scenario will be recorded as convergence but voltage unqualified mode; If the analysis results do not show any nodes or balancing machines that exceed the limits, or if the voltage results are qualified, then the corresponding active power scenario will be recorded as an available mode.

[0010] Optionally, adjusting the generator terminal voltage for the converged active power scenario includes: The reactive power compensation adjustment is performed on the nodes that exceed the high-low crossing range in the converged active power scenario in the calculation results by using reactive power-voltage sensitivity. Power flow calculations are performed on the active power scenario after node adjustment to obtain the output of the balancing machine. When the output of the balancing machine exceeds the limit, the active power scenario after node adjustment is redistributed according to the amount of the excess output of the balancing machine.

[0011] Optionally, the method further includes: A performance index system for recording methods is constructed based on various active power scenarios; the index system includes method convergence rate, method availability rate, and AI contribution rate; The available methods are input into the batch transient simulation model to obtain the simulation results output by the batch transient simulation model; Based on the aforementioned indicator system and simulation results, the future operating mode of the scenario to be analyzed is visualized to obtain the mode analysis results.

[0012] This application also provides a future-state operation mode generation device, including: The scenario generation module is used to obtain the baseline mode file of the power system and the scenario to be analyzed, and to generate multiple active power scenarios in the scenario to be analyzed; The scenario adjustment module is used to perform N-1 DC power flow calculations for each active scenario according to a preset number of adjustments, and record each active scenario as qualified or unqualified according to the calculation results. The active power assignment module is used to assign active power values ​​to each qualified mode based on the reference mode file to obtain a steady-state file corresponding to each qualified mode; the steady-state file records the power flow initial value information of the corresponding active power scenario. The reactive power configuration module is used to configure reactive power for each steady-state file based on the reactive power configuration strategy, using AI algorithms or configuration rules, and to perform power flow calculations on the configured steady-state files to obtain the calculation results. The voltage boosting module is used to record the non-converged active power scenarios in the calculation results as reactive power non-convergence mode, and to boost the voltage qualification rate of the converged active power scenarios in the calculation results, and record the converged active power scenarios as converged but voltage unqualified mode or available mode according to the boosting results.

[0013] This application also provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the future state operation mode generation method as described in any of the above embodiments.

[0014] This application also provides a computer device, including: one or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the future-state operation mode generation method as described in any of the above embodiments.

[0015] As can be seen from the above technical solutions, the embodiments of this application have the following advantages: The future operating mode generation method, apparatus, storage medium, and computer equipment provided in this application can, when generating operating modes, first obtain the power system's baseline mode file and the scenario to be analyzed, and generate multiple active power scenarios within the scenario to be analyzed, covering scenarios with various active power combinations to meet scenario analysis requirements. After scenario generation, N-1 DC power flow calculations can be performed on each active power scenario according to a preset number of adjustments, and each active power scenario can be sequentially recorded as a qualified or unqualified mode based on the calculation results, thereby filtering out scenarios that may have safety risks and avoiding safety accidents during actual operation. Subsequently, active power values ​​can be assigned to each qualified mode active power scenario based on the baseline mode file to obtain the steady-state file corresponding to each qualified mode, providing an accurate initial value for subsequent reactive power configuration and power flow calculations. Initial conditions: This application utilizes a reactive power configuration strategy combining AI algorithms and configuration rules to perform reactive power configuration and power flow calculation on various steady-state files. This reactive power configuration strategy combines the advantages of both methods, improving computational efficiency while reducing deviation, and more accurately analyzing the system's operation under different reactive power configurations. After obtaining the power flow calculation results, non-converged active power scenarios in the calculation results can be recorded as reactive power non-convergence modes. Furthermore, voltage qualification rate improvement can be performed on converged active power scenarios in the calculation results, and based on the improvement results, converged active power scenarios can be recorded as converged but voltage unqualified modes or usable modes. By refining the generation method of active power scenarios, this application can quickly analyze the system's operating status under different scenarios, providing more targeted decision-making basis for the safe and stable operation of the system. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating a method for generating a future-state operating mode provided in an embodiment of this application; Figure 2 A schematic diagram illustrating the framework for generating and analyzing a future-state operating mode, as provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a future-state operation mode generation device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] In high-proportion renewable energy power systems, operating modes change frequently, and safety and stability characteristics are profoundly altered. However, traditional generation methods are insufficient to fully cover system safety risks, leading to significant renewable energy curtailment losses. To address this, the industry has proposed rule-based adjustment methods and data-driven methods. However, rule-based adjustment methods require multiple iterative adjustments, resulting in low computational efficiency, while data-driven methods, although highly efficient in parallel computation, exhibit significant deviations in unknown scenarios.

[0020] Based on this, this application proposes the following technical solution, as detailed below: In one embodiment, such as Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for generating a future state operation mode according to an embodiment of this application. This application provides a method for generating a future state operation mode, specifically including the following: S110: Obtain the baseline mode file and the scenario to be analyzed for the power system, and generate multiple active power scenarios in the scenario to be analyzed.

[0021] In this step, when generating the operating mode of the power system, the computer equipment can first obtain its baseline mode file and the scenario to be analyzed, and generate multiple active power scenarios in the scenario to be analyzed, so as to cover various active power combinations and meet the scenario analysis requirements.

[0022] Specifically, the baseline mode file and the scenario to be analyzed can be provided by the power grid dispatch center or planning department. The baseline mode file refers to a data file describing the complete electrical and topological information of the power system under the current or typical operating state. It is the starting point and reference for generating future mode. It includes a steady-state file describing the initial power flow information and a dynamic file describing the parameters of control elements. The scenario to be analyzed refers to the range and sampling rules of possible future operating conditions set according to the research purpose. It can be used to guide the system to generate various possible power distribution scenarios.

[0023] Therefore, the computer equipment can combine and reconstruct the active power of various power sources and loads based on the output of new energy sources, load levels and their fluctuation range, and automatically generate multiple active power scenarios in the scenario to be analyzed, so as to form an active power combination set covering different output ratios, load distributions and power balance relationships. Thus, while ensuring the rationality of active power distribution, it can meet the analysis needs of operators for different active power scenarios.

[0024] S120: Perform N-1 DC power flow calculations for each active power scenario according to the preset number of adjustments, and record each active power scenario as qualified or unqualified according to the calculation results.

[0025] In this step, after generating the active power scenario through step S110, the computer equipment can perform N-1 DC power flow calculations on each active power scenario according to the preset number of adjustments, and record each active power scenario as qualified or unqualified according to the calculation results, thereby screening out unqualified scenarios that may have safety risks and avoiding safety accidents in actual operation.

[0026] It is understandable that N-1 DC power flow calculation refers to calculating and analyzing the active power distribution of a system using a DC power flow model under the assumption that any single critical component in the system fails and goes out of service, in order to determine whether there are safety issues such as line overload, cross-sectional overload, or power distribution imbalance after the fault occurs. This method is fast and stable, and can perform batch verification of a large number of scenarios in a short time. Therefore, this application can use this method for the preliminary risk screening stage, providing an efficient and reliable preliminary judgment basis for subsequent refined AC power flow analysis and dynamic stability analysis.

[0027] Specifically, computer equipment can evaluate the operational feasibility and safety margin of each active power scenario under different fault conditions through N-1 DC power flow calculation. That is, it comprehensively judges the active power scenario based on the line load rate, cross-sectional power over-limit situation and power balance results obtained from each N-1 DC power flow calculation, and records the active power scenario that meets the safety constraints as qualified mode, and records the active power scenario that has power flow over-limit, power imbalance or cannot meet the safety constraints as unqualified mode, thereby forming a rapid screening result for various active power combination scenarios.

[0028] S130: Based on the baseline mode file, active power values ​​are assigned to the active power scenarios of each qualified mode to obtain the steady-state file corresponding to each qualified mode; the steady-state file records the power flow initial value information of the corresponding active power scenario.

[0029] In this step, after determining the qualified mode in the active power scenario through S120, the computer equipment can assign active power values ​​to each qualified mode based on the baseline mode file, and obtain the steady-state file corresponding to each qualified mode, providing accurate initial conditions for subsequent reactive power configuration and power flow calculation.

[0030] Specifically, after the computer equipment completes the active power scenario screening, it can use the steady-state file in the benchmark method file as a unified reference to perform active power assignment processing on the active power scenarios recorded as qualified. That is, while keeping the power system network topology, equipment parameters and control element configuration unchanged, the active power values ​​of various power sources and loads in the corresponding active power scenario are mapped and updated to the benchmark method file, thereby forming a steady-state file specific to that active power scenario.

[0031] Therefore, the power flow initial value information recorded in the steady-state file corresponding to each qualified active power scenario can more realistically reflect the initial state of the system under a specific active power scenario, making subsequent analysis and calculation closer to the actual situation and avoiding calculation deviations caused by inaccurate initial conditions, thereby improving the accuracy and reliability of the entire operation mode generation process.

[0032] S140: Based on the reactive power configuration strategy, AI algorithms or configuration rules are used to configure the reactive power of each steady-state file, and power flow calculation is performed on the configured steady-state file to obtain the calculation results.

[0033] In this step, after generating multiple steady-state files for active power scenarios through step S130, the computer equipment can perform reactive power configuration on each steady-state file based on the reactive power configuration strategy, using AI algorithms or configuration rules. This reactive power configuration strategy combines the advantages of both methods, which can improve computational efficiency while reducing deviations and more accurately analyze the system's operation under different reactive power configurations. Subsequently, the computer equipment can perform power flow calculations on the configured steady-state files, and the calculation results can be used as a criterion for whether the samples have converged.

[0034] It is understandable that reactive power configuration strategy refers to a method that intelligently sets reactive power output or compensation for nodes in a power system, given the active power distribution, to ensure system power flow convergence, voltage compliance, and compliance with operational constraints. It should be noted that the reactive power configuration strategy in this application is a two-layer intelligent decision-making framework integrating AI algorithms and configuration rules. Therefore, by configuring reactive power in steady-state files through the reactive power configuration strategy, computer equipment can effectively reduce the risk of deviations in unknown scenarios by purely data-driven methods while maintaining high parallelism and efficiency in the computation process. This ensures that the reactive power configuration results still possess good reliability and generalization ability under complex operating conditions.

[0035] S150: Record the non-converged active power scenarios in the calculation results as reactive power non-convergence mode, and improve the voltage qualification rate of the converged active power scenarios in the calculation results, and record the converged active power scenarios as converged but voltage unqualified mode or available mode according to the improvement results.

[0036] In this step, after obtaining the calculation results of the steady-state file through step S140, the computer device can record the non-converged active power scenarios in the calculation results as reactive power non-convergence mode, and improve the voltage qualification rate of the converged active power scenarios in the calculation results. Based on the improvement results, the converged active power scenarios are recorded as converged but voltage unqualified mode or available mode. By refining the generation method of active power scenarios, this application can quickly analyze the operating status of the system under different scenarios, and provide more targeted decision-making basis for the safe and stable operation of the system.

[0037] Specifically, for active power scenarios that fail to converge in power flow calculation, the computer equipment can record them as reactive power non-convergence mode to clearly identify the safety risks and potential fault points that may still exist in the system under the existing reactive power configuration, so as to facilitate subsequent targeted adjustments or troubleshooting. For active power scenarios that converge in power flow calculation, the computer equipment can further optimize or adjust the voltage level of each node based on the voltage compliance rate improvement strategy to improve the overall voltage compliance rate of the system, thereby minimizing voltage exceedance situations while meeting equipment capacity and operating constraints.

[0038] Furthermore, for active power scenarios after the voltage qualification rate is improved, the computer equipment can subdivide the convergence scenarios into two categories based on the improved results. If, after voltage improvement and adjustment, there are still node voltages outside the allowable range, it indicates that this operating mode may pose a voltage safety risk in actual operation. Therefore, the computer equipment can record it as a converged but voltage-unqualified mode. If, after voltage improvement, all node voltages meet the safety standards, it indicates that this operating mode can be directly put into actual operation or used as a scheduling reference. Therefore, the computer equipment can record it as an available mode.

[0039] In the above embodiments, when generating the operating mode, the reference mode file and the scenario to be analyzed of the power system can be obtained first, and multiple active power scenarios in the scenario to be analyzed can be generated to cover various active power combinations and meet the scenario analysis requirements. After the scenario is generated, N-1 DC power flow calculations can be performed on each active power scenario according to a preset number of adjustments, and each active power scenario can be recorded as a qualified mode or an unqualified mode according to the calculation results, thereby filtering out scenarios that may have safety risks and avoiding safety accidents in actual operation. Subsequently, active power values ​​can be assigned to each qualified mode active power scenario based on the reference mode file to obtain the steady-state file corresponding to each qualified mode, providing accurate initial conditions for subsequent reactive power configuration and power flow calculations. This application can utilize the combination of This paper proposes a reactive power configuration strategy that combines AI algorithms and configuration rules. Reactive power configuration is performed on various steady-state files, and power flow calculations are conducted. This strategy combines the advantages of both methods, improving computational efficiency while reducing bias, and more accurately analyzing the system's operation under different reactive power configurations. After obtaining the power flow calculation results, non-converged active power scenarios in the calculation results can be recorded as reactive power non-convergence modes. Furthermore, voltage qualification rate improvement is applied to converged active power scenarios in the calculation results. Based on the improvement results, converged active power scenarios are recorded as converged but voltage unqualified modes or usable modes. By refining the generation method of active power scenarios, this application can quickly analyze the system's operating status under different scenarios, providing more targeted decision-making basis for the safe and stable operation of the system.

[0040] In one embodiment, the process of generating multiple active scenarios in the scenario to be analyzed in step S110 may include: S111: Determine the variable constraints of the scenario to be analyzed; the variable constraints are the sampling constraints generated by each variable in the power system under active power mode.

[0041] S112: Generate multiple active scenarios within the scope of variable constraints.

[0042] In this embodiment, the computer device can determine the variable constraints of the scenario to be analyzed and generate multiple active power scenarios within the scope of the variable constraints. Here, the variable constraints are sampling constraints generated by various variables in the power system under active power conditions, which can include system-level variable constraints, region-level variable constraints, and bus / station-level variable constraints, thereby providing constraints for the dynamic consistency and controllability of the operating mode.

[0043] Specifically, system-level variable constraints can be represented as follows:

[0044] In the formula, , , These represent the penetration rate of new energy sources and their minimum and maximum values, respectively. , , These represent the active power of the load and its minimum and maximum values, respectively. , , These represent DC power and its minimum and maximum values, respectively.

[0045] For system-level variables, you can choose to define the sampling step size or number of steps for each variable; for new energy penetration rate variables... and Active power variables of load and DC power variable and The two variables can be transformed into each other. Taking the penetration rate of new energy sources as an example, when... hour:

[0046] In the formula, This indicates that evidence is being sought from the next level. If ,but , The same applies to active power and DC power, and will not be elaborated upon here.

[0047] Domain-level variable constraints can be represented as follows:

[0048] In the formula, , , Let these represent the total active power of the load in the k-th region, as well as its minimum and maximum values, respectively. , , Let represent the total active power output of the k-th region and the r-th type of generator, and their minimum and maximum values, respectively.

[0049] Busbar / station level variable constraints can be expressed as follows:

[0050] In the formula, , , Let these represent the combined power of the i-th bus and its minimum and maximum values, respectively; , , Let represent the active power output of the j-th power station and its minimum and maximum values, respectively.

[0051] In one embodiment, step S120, which involves performing N-1 DC power flow calculations on each active power scenario according to a preset number of adjustments, and sequentially recording each active power scenario as either a qualified or unqualified mode based on the calculation results, may include: S121: For each active power scenario, simulate any component failure in that active power scenario, and use the DC power flow model to calculate the power flow distribution of the failure simulation results, and determine whether the power flow distribution meets the preset qualification conditions.

[0052] S122: If so, then record the active scenario as a qualified method.

[0053] S123: If not, adjust the active power distribution for the active power scenario and recalculate the N-1 DC power flow.

[0054] S124: If the number of adjustments for the active power scenario reaches the preset number of adjustments and still does not meet the qualified conditions, then the active power scenario is recorded as an unqualified mode.

[0055] In this embodiment, the computer device can simulate any component failure in an active power scenario and use a DC power flow model to calculate the power flow distribution of the simulation results. If the power flow distribution meets the preset qualification conditions, the active power scenario can be recorded as qualified. Otherwise, the active power distribution of the active power scenario is adjusted, and the N-1 DC power flow calculation is performed again until the power flow distribution meets the preset qualification conditions. During this process, if the active power scenario still does not meet the preset qualification conditions after the number of adjustments reaches the preset number of adjustments, the computer device can record the active power scenario as unqualified.

[0056] Specifically, for each active power scenario, the computer equipment can assume that any single critical component in the system, such as a transmission line, transformer, or generator, fails and goes out of operation. Based on the DC power flow model, it can quickly calculate the power flow distribution of the system under this fault condition. After the power flow calculation is completed, the computer equipment can compare the calculation results with preset qualification conditions to determine whether the system can still meet the safety requirements such as line load, node power balance, and voltage constraints under this fault condition. Then, based on the judgment result, the active power scenario is recorded as qualified or unqualified.

[0057] Furthermore, if the calculation results fully meet the preset qualification conditions, the computer equipment can record the active power scenario as qualified, indicating that the system has the ability to operate safely and stably under any unit failure condition. For active power scenarios that fail to meet safety constraints, the computer equipment can optimize and adjust the active power distribution based on adjustment strategies, including redistributing generator output or adjusting load distribution to improve the system power flow distribution, and then perform N-1 DC power flow calculation and make a judgment again. This process can be repeated until the power flow distribution reaches the preset qualification conditions.

[0058] It should be noted that, in order to ensure computational efficiency and avoid infinite loops, when the number of adjustments for a given active power scenario reaches the preset maximum number of adjustments and still fails to meet the qualification criteria, the computer equipment can record the active power scenario as an unqualified mode, clearly indicating an operating mode that presents a potential security risk under the existing active power distribution.

[0059] In one embodiment, step S140, which involves configuring reactive power for each steady-state file based on a reactive power configuration strategy using an AI algorithm or configuration rules, and then performing power flow calculations on the configured steady-state files to obtain the calculation results, may include: S141: Use AI algorithms to configure reactive power for each steady-state file, and perform power flow calculations on the configured steady-state files to obtain the calculation results.

[0060] S142: If there are non-converged active power scenarios in the calculation results, the reactive power adjustment is performed on the steady-state file of the non-converged active power scenarios using the configuration rules, and the power flow calculation is performed on the adjusted steady-state file to obtain the final calculation results of the non-converged active power scenarios.

[0061] In this embodiment, during reactive power configuration, the computer device can use AI algorithms to configure reactive power for each steady-state file and perform power flow calculations on the configured steady-state files to obtain the calculation results. If there are non-converged active power scenarios in the calculation results, configuration rules can be used to adjust the reactive power of the steady-state files for the non-converged active power scenarios, and power flow calculations can be performed on the adjusted steady-state files to obtain the final calculation results for the non-converged active power scenarios. This improves computational efficiency while reducing deviations in location scenarios.

[0062] Specifically, during reactive power configuration, the computer equipment can construct the information in the steady-state file into a model-readable input. Specifically, it can be expressed as follows:

[0063] In the formula, N represents the number of grid nodes; P represents the injected active power; Q represents the reactive power; and V represents the voltage amplitude. This indicates the voltage phase angle.

[0064] in, The input feature matrix of the PQ node can be represented as follows:

[0065] In the formula, This indicates the number of PQ nodes.

[0066] The input feature matrix of the PV node can be represented as follows: The input feature matrix representing the equilibrium node can be specifically represented as follows:

[0067] Based on this, the AI ​​algorithm can adjust the capacitors / reactors at each node, output the reactive power compensation requirement, that is, the reactive power of each node, and form the following matrix:

[0068] In this way, computer devices can modify the corresponding values ​​in the steady-state file using AI algorithms to obtain a new steady-state file. The AI ​​algorithm used here can be a graph neural network or a Transformer model, and there are no restrictions on its implementation.

[0069] Based on the steady-state file modified by the AI ​​algorithm, the computer device can perform power flow calculations on it using numerical solutions. If the calculation results do not converge, the computer device can further adjust the capacitors / reactors based on the configuration rules to obtain a steady-state file after the configuration rules are adjusted. Then, it can perform power flow calculations on it using numerical solutions as the final basis for whether the scenario sample has converged.

[0070] In one embodiment, step S150, which involves improving the voltage compliance rate of the converged active power scenarios in the calculation results and recording the corresponding active power scenarios as converged but voltage-unqualified or usable scenarios based on the improvement results, may include: S151: Perform voltage analysis on the converged active power scenario in the calculation results to obtain the analysis results.

[0071] S152: If there are nodes or balancing machines that exceed the limits in the analysis results, the terminal voltage of the converged active power scenario is adjusted, and the voltage result of the adjusted active power scenario is determined.

[0072] S153: If the voltage result is unqualified, the corresponding active power scenario will be recorded as convergence but voltage unqualified mode.

[0073] S154: If the analysis results do not show any nodes exceeding the limits, or if the balancing machine or voltage result is qualified, then the corresponding active power scenario will be recorded as an available mode.

[0074] In this embodiment, the computer device can perform voltage analysis on the converged active power scenarios in the power flow calculation results. Then, when it identifies nodes or balancing machines that exceed the limits in the analysis results, it can adjust the terminal voltage of the active power scenario and determine the voltage result of the adjusted active power scenario. If the voltage result is unqualified, the corresponding active power scenario is recorded as converged but voltage unqualified. If there are no nodes or balancing machines that exceed the limits in the analysis results or the voltage result is qualified, the corresponding active power scenario is recorded as available. This enables refined classification and optimized management of operating modes.

[0075] Specifically, after completing power flow calculations, the computer equipment can perform voltage analysis on the converged active power scenarios in the calculation results to comprehensively assess whether the voltage levels of each node and generator terminal meet the preset safety constraints under this operating mode. During the analysis, the computer equipment can identify nodes where voltage exceeds limits or generator terminals involved in power balance, and based on preset generator terminal voltage adjustment strategies, adjust the generator terminal voltage of the corresponding generators or reactive power regulation equipment to improve local or overall voltage distribution, thereby calculating the voltage results of the adjusted active power scenarios.

[0076] Subsequently, the computer equipment can make a judgment based on the adjusted voltage results. If the node voltage or generator terminal voltage still does not meet the safety qualification standard after adjustment, the active power scenario is recorded as a convergent but voltage unqualified mode, indicating that there is still a voltage safety hazard under the current active power distribution and adjustment strategy. If there are no over-limit nodes or balancing machines in the analysis results, or if the voltage of each node and generator terminal meets the preset qualification requirements after voltage adjustment, the active power scenario is recorded as an available mode, indicating that the operating mode meets the system safety operation conditions in terms of power distribution and voltage level.

[0077] In one embodiment, the process of adjusting the generator terminal voltage for the converged active power scenario in step S152 may include: S1521: Adjust reactive power compensation for nodes exceeding the high-low voltage range in the converged active power scenario of the calculation results by using reactive power-voltage sensitivity.

[0078] S1522: Perform power flow calculation on the active power scenario after node adjustment to obtain the output of the balancing machine, and when the output of the balancing machine exceeds the limit, reallocate the active power of the active power scenario after node adjustment according to the amount of the excess output of the balancing machine.

[0079] In this embodiment, when adjusting the terminal voltage, the computer equipment can first use reactive power-voltage sensitivity to perform reactive power compensation adjustment on the nodes that exceed the high-low crossing range in the converged active power scenario in the calculation results. Then, it can perform power flow calculation on the active power scenario after node adjustment to obtain the output of the balancing machine. When the output of the balancing machine exceeds the limit, the active power scenario after node adjustment is redistributed according to the amount of the excess output of the balancing machine, so that the new energy nodes are within the high-low crossing range and the SVG nodes are within the high-low crossing range.

[0080] Specifically, through reactive power-voltage sensitivity analysis, the computer equipment can identify nodes in the scenario where the voltage exceeds the preset high-low voltage range. Based on the response relationship between the voltage of each node and reactive power changes, it automatically determines the corresponding reactive power compensation adjustment amount and performs targeted switching of reactive power compensation devices or adjustment of reactive power output for the nodes exceeding the limits, prioritizing the correction of local voltage anomalies from the reactive power side. After completing the reactive power compensation adjustment, the computer equipment can recalculate the power flow of the adjusted active power scenario to obtain the power distribution of the system under this adjustment state and further obtain the active power output results of the balancing machine. When it is determined that the output of the balancing machine exceeds its preset operating range, the computer equipment can re-execute active power allocation processing for the adjusted active power scenario based on the excess output of the balancing machine. By reasonably distributing the active power deviation among generator sets or loads, the overall active power balance of the system is restored.

[0081] Understandably, by adjusting extreme voltage, this application can prioritize voltage safety while also taking into account system power balance and equipment operation constraints, effectively avoiding the chain reaction of limit-breaking problems caused by simply relying on reactive or active power adjustment, so that the operation mode still has high feasibility and stability in complex and extreme scenarios.

[0082] In one embodiment, the method may further include: S160: A performance index system for recording methods based on various active scenarios is constructed; the index system includes method convergence rate, method availability rate, and AI contribution rate.

[0083] S161: Input the available methods into the batch transient simulation model to obtain the simulation results output by the batch transient simulation model.

[0084] S162: Based on the indicator system and simulation results, visualize the future operating mode of the scenario to be analyzed to obtain the mode analysis results.

[0085] In this embodiment, after recording the generation methods of each active scenario, the computer device can also construct an indicator system for the generation performance of the methods based on the recording methods of each active scenario, including the convergence rate, availability rate, and AI contribution rate of the current task and historical tasks. At the same time, the available methods can be input into the batch transient simulation model to obtain the simulation results output by the batch transient simulation model. Thus, the future operating mode of the scenario to be analyzed can be visualized based on the indicator system and simulation results to obtain the mode analysis results.

[0086] Specifically, the generation methods of each active power scenario in this application may include unqualified mode, reactive power non-convergence mode, converged but voltage unqualified mode, and available mode; among them, the converged but voltage unqualified mode and the available mode can be further distinguished into converged but voltage unqualified mode (AI), converged but voltage unqualified mode (rule), available mode (AI), and available mode (rule) according to the reactive power configuration mode of the corresponding steady-state file of the active power scenario.

[0087] For performance evaluation of historical tasks, this application can define a statistical period of T, that is, to combine the performance of the previous T computational tasks for statistical analysis, reflecting the robustness of the entire computational framework and AI algorithm. The convergence rates of the current task and historical tasks can be standardized as follows:

[0088] In the formula, This indicates the batch of the current calculation result task; T represents the historical statistical period. When T=0, only the indicators of the current task are calculated; when T>0, the indicators of the previous task are calculated. Batch to Indicators for historical tasks in batches; This indicates the number of active scenarios corresponding to the generation method; This indicates the total number of active scenarios.

[0089] The availability of current and historical task methods can be standardized as follows:

[0090] The AI ​​contribution rates for current and historical tasks can be standardized as follows:

[0091] To better explain the method for generating the future state operation mode in this application, the following will be conducted through... Figure 2 To further illustrate, illustratively, such as Figure 2 As shown, Figure 2 This is a schematic diagram of a framework for generating and analyzing a future-state operating mode, provided in an embodiment of this application.

[0092] Figure 2 The process of generating future operating modes takes the baseline mode and the requirements of the scenario to be analyzed as inputs. During the active power mode generation process, the active power distribution is self-checked and adjusted. Scenarios that fail the self-check even after reaching the adjustment limit are recorded as unqualified modes. For scenarios that pass the self-check, a corresponding active power steady-state file is generated, and the process enters the reactive power configuration stage. In the reactive power configuration stage, an AI algorithm is first used to configure reactive power on the steady-state file information, and power flow calculation is used to verify whether the samples converge. If convergence fails, reactive power configuration is performed on the steady-state file based on rules, and power flow calculation is performed again. Scenarios that do not converge in the calculation results are recorded as reactive power non-convergent modes. For scenarios with power flow convergence in both reactive power configuration modes, the process enters the voltage qualification rate improvement stage. In the voltage qualification rate improvement stage, if a scenario has voltage exceeding limits, the generator voltage is adjusted, and the voltage qualification is checked again. Scenarios that still fail after adjustment are recorded as converged but voltage-unqualified modes; those with qualified voltage are recorded as usable modes. Both types of modes can be divided into AI paths and rule paths. Finally, the generation results of various generation methods are visualized, and batch transient simulations are performed on the available methods. The final analysis results of the complete future state operation methods are then output.

[0093] For example, in one scenario to be analyzed, the baseline configuration includes 2911 nodes, 596 sites, 46 regions, 4 DC lines, and 418 capacitor / reactor nodes. The variable constraints for this scenario are shown in the table below:

[0094] A total of 1000 scenarios were obtained based on the active power scenario generation module. The injected active power for each scenario and each node is shown in the table below:

[0095] The capacitor / reactor configuration is generated using AI algorithms to obtain the reactive power of each node in each scenario, as shown in the following representation:

[0096] The above reactive power configurations are assigned to the corresponding steady-state files for each scenario to obtain new steady-state files. After power flow calculation, 999 scenarios have converged, entering the voltage qualification rate improvement phase. The remaining scenario has not converged, entering the rule-based reactive power adjustment phase.

[0097] Based on the steady-state file before reactive power assignment in the unconverged scenario, the capacitor / reactor configuration is generated according to rules to obtain the reactive power of each node in each scenario, which can be represented as follows:

[0098] The above reactive power configurations are assigned to the corresponding steady-state files for each scenario to obtain new steady-state files. After power flow calculation, 1000 scenarios have converged, entering the voltage qualification rate improvement phase. The remaining 0 scenarios have not converged and are recorded as reactive power non-convergence mode.

[0099] By adjusting the reactive power compensation node using reactive power-voltage sensitivity, the specific data obtained is shown below:

[0100] Based on the generation results, there are 999 available methods (AI) and 1 available method (rule). There are 1 convergent but voltage-unqualified method (AI) and 1 convergent but voltage-unqualified method (rule-based) respectively. There are 0 reactive power non-convergence methods and 0 active power non-convergence methods. The convergence rate, availability rate, and AI contribution rate of the current task are 100%, 99.9%, and 99.9%, respectively.

[0101] The future state operation mode generation apparatus provided in the embodiments of this application is described below. The future state operation mode generation apparatus described below and the future state operation mode generation method described above can be referred to in correspondence.

[0102] In one embodiment, such as Figure 3 As shown, Figure 3 This is a schematic diagram of a future state operation mode generation device provided in an embodiment of this application. This application also provides a future state operation mode generation device, including a scene generation module 210, a scene adjustment module 220, an active power assignment module 230, a reactive power configuration module 240, and a voltage boosting module 250, specifically comprising the following: The scenario generation module 210 is used to obtain the baseline mode file of the power system and the scenario to be analyzed, and to generate multiple active power scenarios in the scenario to be analyzed.

[0103] The scenario adjustment module 220 is used to perform N-1 DC power flow calculations for each active power scenario according to a preset number of adjustments, and record each active power scenario as qualified or unqualified according to the calculation results.

[0104] The active power assignment module 230 is used to assign active power values ​​to each qualified mode based on the baseline mode file to obtain the steady-state file corresponding to each qualified mode; the steady-state file records the power flow initial value information of the corresponding active power scenario.

[0105] The reactive power configuration module 240 is used to configure reactive power for each steady-state file based on the reactive power configuration strategy, using AI algorithms or configuration rules, and to perform power flow calculation on the configured steady-state file to obtain the calculation results.

[0106] The voltage boosting module 250 is used to record the non-converged active power scenarios in the calculation results as reactive non-converged mode, and to boost the voltage qualification rate of the converged active power scenarios in the calculation results, and record the converged active power scenarios as converged but voltage unqualified mode or available mode according to the boosting results.

[0107] In the above embodiments, when generating the operating mode, the reference mode file and the scenario to be analyzed of the power system can be obtained first, and multiple active power scenarios in the scenario to be analyzed can be generated to cover various active power combinations and meet the scenario analysis requirements. After the scenario is generated, N-1 DC power flow calculations can be performed on each active power scenario according to a preset number of adjustments, and each active power scenario can be recorded as a qualified mode or an unqualified mode according to the calculation results, thereby filtering out scenarios that may have safety risks and avoiding safety accidents in actual operation. Subsequently, active power values ​​can be assigned to each qualified mode active power scenario based on the reference mode file to obtain the steady-state file corresponding to each qualified mode, providing accurate initial conditions for subsequent reactive power configuration and power flow calculations. This application can utilize the combination of This paper proposes a reactive power configuration strategy that combines AI algorithms and configuration rules. Reactive power configuration is performed on various steady-state files, and power flow calculations are conducted. This strategy combines the advantages of both methods, improving computational efficiency while reducing bias, and more accurately analyzing the system's operation under different reactive power configurations. After obtaining the power flow calculation results, non-converged active power scenarios in the calculation results can be recorded as reactive power non-convergence modes. Furthermore, voltage qualification rate improvement is applied to converged active power scenarios in the calculation results. Based on the improvement results, converged active power scenarios are recorded as converged but voltage unqualified modes or usable modes. By refining the generation method of active power scenarios, this application can quickly analyze the system's operating status under different scenarios, providing more targeted decision-making basis for the safe and stable operation of the system.

[0108] In one embodiment, the scene generation module 210 may include: The constraint determination submodule is used to determine the variable constraints of the scenario to be analyzed; the variable constraints are the sampling constraints generated by each variable in the power system under the active power mode.

[0109] The scenario generation submodule is used to generate multiple active scenarios within the scope of variable constraints.

[0110] In one embodiment, the scene adjustment module 220 may include: The fault simulation submodule is used to simulate any component fault for each active power scenario, calculate the power flow distribution of the fault simulation results using a DC power flow model, and determine whether the power flow distribution meets the preset qualification conditions.

[0111] The first recording submodule is used to record the active scenario as a qualified method if the condition is met.

[0112] The active power adjustment submodule is used to adjust the active power distribution for the active power scenario if not, and to recalculate the N-1 DC power flow.

[0113] The second recording submodule is used to record the active scenario as unqualified if the number of adjustments for the active scenario reaches the preset number of adjustments and still does not meet the qualified conditions.

[0114] In one embodiment, the reactive power configuration module 240 may include: The reactive power configuration submodule is used to configure reactive power for each steady-state file using AI algorithms, and to perform power flow calculations on the configured steady-state files to obtain the calculation results.

[0115] The reactive power adjustment submodule is used to adjust the steady-state file of the non-converged active power scenario according to the configuration rules if there is a non-converged active power scenario in the calculation results, and to perform power flow calculation on the adjusted steady-state file to obtain the final calculation result of the non-converged active power scenario.

[0116] In one embodiment, the voltage boosting module 250 may include: The voltage analysis submodule is used to perform voltage analysis on the converged active power scenario in the calculation results and obtain the analysis results.

[0117] The voltage adjustment submodule is used to adjust the generator-end voltage of the converged active power scenario if there are nodes or balancing machines that exceed the limits in the analysis results, and to determine the voltage result of the adjusted active power scenario.

[0118] The third recording submodule is used to record the corresponding active power scenario as convergence but voltage failure if the voltage result is unqualified.

[0119] The fourth recording submodule is used to record the corresponding active power scenario as an available mode if there are no nodes exceeding the limit or the balancing machine or voltage result is qualified in the analysis results.

[0120] In one embodiment, the process of adjusting the generator terminal voltage for the converged active power scenario in step S152 may include: The reactive power compensation unit is used to adjust the reactive power compensation of nodes that exceed the high-low voltage range in the active power scenario that has converged in the calculation results, based on the reactive power-voltage sensitivity.

[0121] The active power allocation unit is used to perform power flow calculations on the active power scenario after node adjustment, obtain the output of the balancing machine, and redistribute the active power in the active power scenario after node adjustment according to the amount of the excess output of the balancing machine when the output of the balancing machine exceeds the limit.

[0122] In one embodiment, the method may further include: The system construction module is used to build a performance index system for the generation of methods based on the recording methods of various active scenarios; the index system includes method convergence rate, method availability rate and AI contribution rate.

[0123] The simulation module is used to input available methods into the batch transient simulation model and obtain the simulation results output by the batch transient simulation model.

[0124] The mode visualization module is used to visualize the future operating mode of the scenario under analysis based on the indicator system and simulation results, and obtain the mode analysis results.

[0125] In one embodiment, this application also provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the future-state operation generation method as described in any of the above embodiments.

[0126] In one embodiment, this application also provides a computer device storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the future state operation mode generation method as described in any of the above embodiments.

[0127] Indicatively, such as Figure 4 As shown, Figure 4 This is a schematic diagram of the internal structure of a computer device 300 provided in an embodiment of this application. The computer device 300 can be provided as a server. (Refer to...) Figure 4The computer device 300 includes a processing component 302, which further includes one or more processors, and memory resources represented by memory 301 for storing instructions executable by the processing component 302, such as application programs. The application programs stored in memory 301 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 302 is configured to execute instructions to perform the future-state runtime generation method of any of the above embodiments.

[0128] The computer device 300 may also include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate on an operating system stored in memory 301, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or similar.

[0129] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0130] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0131] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0132] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for generating future-state operating modes, characterized in that, The method includes: Obtain the baseline mode file and the scenario to be analyzed of the power system, and generate multiple active power scenarios in the scenario to be analyzed; For each active power scenario, perform N-1 DC power flow calculations according to the preset number of adjustments, and record each active power scenario as qualified or unqualified according to the calculation results. Based on the benchmark mode file, active power values ​​are assigned to the active power scenarios of each qualified mode to obtain a steady-state file corresponding to each qualified mode; the steady-state file records the power flow initial value information of the corresponding active power scenario. Based on the reactive power configuration strategy, AI algorithms or configuration rules are used to configure reactive power for each steady-state file, and power flow calculation is performed on the configured steady-state file to obtain the calculation results; The active power scenarios that do not converge in the calculation results are recorded as reactive power non-convergence mode. The voltage qualification rate of the converged active power scenarios in the calculation results is improved, and the converged active power scenarios are recorded as converged but voltage unqualified mode or usable mode according to the improvement results.

2. The method for generating future-state operation modes according to claim 1, characterized in that, The generation of multiple active scenarios in the scenario to be analyzed includes: Determine the variable constraints of the scenario to be analyzed; the variable constraints are the sampling constraints generated by each variable in the power system under the active power mode; Multiple active scenarios are generated within the scope of the variable constraints.

3. The method for generating future-state operation modes according to claim 1, characterized in that, The step of performing N-1 DC power flow calculations for each active power scenario according to a preset number of adjustments, and recording each active power scenario as either qualified or unqualified based on the calculation results, includes: For each active power scenario, a fault simulation of any component is performed for that active power scenario, and the power flow distribution of the fault simulation results is calculated using a DC power flow model, and it is determined whether the power flow distribution meets the preset qualification conditions. If so, then record the active scenario as a qualified method; If not, then adjust the active power distribution for the active power scenario and recalculate the N-1 DC power flow. If the number of adjustments for the active scenario reaches the preset number of adjustments and still does not meet the qualified condition, then the active scenario is recorded as an unqualified mode.

4. The method for generating future-state operation modes according to claim 1, characterized in that, The reactive power configuration strategy employs AI algorithms or configuration rules to configure reactive power for each steady-state file, and then performs power flow calculations on the configured steady-state files to obtain the calculation results, including: AI algorithms are used to configure reactive power for each steady-state file, and power flow calculations are performed on the configured steady-state files to obtain the calculation results; If there are non-converged active power scenarios in the calculation results, the reactive power of the steady-state file of the non-converged active power scenario is adjusted using configuration rules, and power flow calculation is performed on the adjusted steady-state file to obtain the final calculation result of the non-converged active power scenario.

5. The method for generating future-state operation modes according to claim 1, characterized in that, The step of improving the voltage qualification rate of the converged active power scenarios in the calculation results, and recording the corresponding active power scenarios as converged but voltage unqualified or usable modes based on the improvement results, includes: Voltage analysis is performed on the converged active power scenario in the calculation results to obtain the analysis results; If there are nodes or balancing machines that exceed the limits in the analysis results, the terminal voltage of the converged active power scenario is adjusted, and the voltage result of the adjusted active power scenario is determined. If the voltage result is unqualified, the corresponding active power scenario will be recorded as convergence but voltage unqualified mode; If the analysis results do not show any nodes or balancing machines that exceed the limits, or if the voltage results are qualified, then the corresponding active power scenario will be recorded as an available mode.

6. The method for generating future-state operation modes according to claim 5, characterized in that, The step of adjusting the generator terminal voltage for the converged active power scenario includes: The reactive power compensation adjustment is performed on the nodes that exceed the high-low crossing range in the converged active power scenario in the calculation results by using reactive power-voltage sensitivity. Power flow calculations are performed on the active power scenario after node adjustment to obtain the output of the balancing machine. When the output of the balancing machine exceeds the limit, the active power scenario after node adjustment is redistributed according to the amount of the excess output of the balancing machine.

7. The method for generating future-state operation modes according to claim 1, characterized in that, The method further includes: A performance index system for recording methods is constructed based on various active power scenarios; the index system includes method convergence rate, method availability rate, and AI contribution rate; The available methods are input into the batch transient simulation model to obtain the simulation results output by the batch transient simulation model; Based on the aforementioned indicator system and simulation results, the future operating mode of the scenario to be analyzed is visualized to obtain the mode analysis results.

8. A device for generating a future-state operating mode, characterized in that, include: The scenario generation module is used to obtain the baseline mode file of the power system and the scenario to be analyzed, and to generate multiple active power scenarios in the scenario to be analyzed; The scenario adjustment module is used to perform N-1 DC power flow calculations for each active scenario according to a preset number of adjustments, and record each active scenario as qualified or unqualified according to the calculation results. The active power assignment module is used to assign active power values ​​to each qualified mode based on the reference mode file to obtain a steady-state file corresponding to each qualified mode; the steady-state file records the power flow initial value information of the corresponding active power scenario. The reactive power configuration module is used to configure reactive power for each steady-state file based on the reactive power configuration strategy, using AI algorithms or configuration rules, and to perform power flow calculations on the configured steady-state files to obtain the calculation results. The voltage boosting module is used to record the non-converged active power scenarios in the calculation results as reactive power non-convergence mode, and to boost the voltage qualification rate of the converged active power scenarios in the calculation results, and record the converged active power scenarios as converged but voltage unqualified mode or available mode according to the boosting results.

9. A storage medium, characterized in that: The storage medium stores computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the future-state operation generation method as described in any one of claims 1 to 7.

10. A computer device, characterized in that, include: One or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the future-state operation generation method as described in any one of claims 1 to 7.

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