A new energy station phase modifier optimization configuration method, system, device and medium

Abstract

The application provides a new energy station phase modifier optimization configuration method, system, device and medium, the method is to obtain the initial configuration scheme of the distributed phase modifier of the near-zone new energy station to obtain the grid-connected combination set of the phase modifier, to generate the near-zone power system simulation scene according to each grid-connected combination of the phase modifier in the grid-connected combination set of the phase modifier, and to calculate the new energy grid-connected point transient overvoltage value of each near-zone power system simulation scene according to the preset electromechanical transient simulation tool, to calculate the off-grid phase modifier near-zone new energy power generation improvement capability of the corresponding simulation scene, to obtain the phase modifier configuration power generation improvement contribution coefficient of each new energy station according to the off-grid phase modifier near-zone new energy power generation improvement capability, and to iteratively optimize the initial configuration of the distributed phase modifier of the near-zone new energy station according to the phase modifier configuration power generation improvement contribution coefficient to obtain the optimal distributed phase modifier configuration scheme. The application can ensure the maximum power generation capacity of the new energy station while ensuring the safe and stable operation of the power grid.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power systems, in particular to a new energy station phase modifier optimization configuration method and system based on marginal generation capacity improvement, a computer device and a storage medium. BACKGROUND

[0002] With the continuous access of renewable energy such as wind power and photovoltaic power to the power system, the new power system will present the characteristics of "double high" of high proportion of renewable energy and high proportion of power electronics. Because new energy units do not have voltage regulation capability, the integration of large-scale new energy weak sending end system will lead to the decline of the voltage support capability of the power system, and the transient overvoltage problem is prominent. Distributed phase modifier has dynamic, transient reactive power support, short-circuit capacity and inertia support capability, which can improve the power generation efficiency and power grid safety and stability level of new energy base. Therefore, how to reasonably configure distributed phase modifier in new energy station to promote new energy consumption has become a problem that many scholars are keen to study.

[0003] The existing optimization configuration of distributed phase modifier mainly includes the research on distributed phase modifier site selection and capacity determination based on technical indicators, and the research on distributed phase modifier configuration based on the technical demand level and investment and operation cost level of power grid operation, but it ignores the hidden value of distributed phase modifier configuration for realizing the generation capacity improvement under the safe and stable operation of power grid, and does not consider the contribution analysis of distributed phase modifier to the generation capacity improvement of new energy station, so it is difficult to truly guarantee the configuration effect of distributed phase modifier in new energy station in actual application. SUMMARY

[0004] The purpose of the present application is to provide a new energy station phase modifier optimization configuration method, which optimizes the configuration of distributed phase modifier based on the contribution of marginal generation capacity improvement of new energy station, can ensure the maximum generation capacity of each new energy station while ensuring the safe and stable operation of power grid, and maximizes the configuration effect of distributed phase modifier in new energy station.

[0005] In order to achieve the above purpose, it is necessary to provide a new energy station phase modifier optimization configuration method, system, computer device and storage medium for solving the above technical problems.

[0006] In the first aspect, the embodiments of the present application provide a new energy station phase modifier optimization configuration method, which comprises the following steps:

[0007] An initial configuration scheme of distributed phase modifier of a near-zone new energy station is obtained, and a corresponding phase modifier grid-connected combination set is obtained according to the initial configuration scheme of distributed phase modifier;

[0008] According to each phase modifier grid-connected combination in the phase modifier grid-connected combination set, a corresponding near-zone power system simulation scene is generated;

[0009] According to a preset electromechanical transient simulation tool, a new energy grid connection point transient overvoltage value of each near-zone power system simulation scene is calculated;

[0010] According to the transient overvoltage value of each new energy grid connection point, the off-grid phase modifier near-zone new energy power generation improvement capability corresponding to the near-zone power system simulation scene is calculated;

[0011] According to the off-grid phase modifier near-zone new energy power generation improvement capability of each near-zone power system simulation scene, a phase modifier configuration power generation improvement contribution coefficient of each new energy station is obtained;

[0012] According to the phase modifier configuration power generation improvement contribution coefficient of each new energy station, the initial configuration of the distributed phase modifier of the near-zone new energy station is iteratively optimized to obtain an optimal distributed phase modifier configuration scheme.

[0013] Further, the step of calculating the transient overvoltage value of each near-zone power system simulation scene according to the preset electromechanical transient simulation tool comprises:

[0014] According to the preset electromechanical transient simulation tool, a plurality of preset fault types are simulated and calculated for each near-zone power system simulation scene to obtain corresponding fault type transient overvoltage values; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar blocking fault and DC multiple commutation failure blocking fault;

[0015] The maximum transient overvoltage value of all fault type transient overvoltage values of each near-zone power system simulation scene is obtained, and the maximum transient overvoltage value is taken as the corresponding new energy grid connection point transient overvoltage value.

[0016] Further, the step of calculating the off-grid phase modifier near-zone new energy power generation improvement capability corresponding to the near-zone power system simulation scene according to the transient overvoltage value of each new energy grid connection point comprises:

[0017] It is judged whether the transient overvoltage value of each new energy grid connection point meets a preset power system safe operation condition; the preset power system safe operation condition is that the transient overvoltage value of the new energy grid connection point is lower than a preset transient overvoltage threshold;

[0018] If it is met, the corresponding off-grid phase modifier near-zone new energy power generation improvement capability is set to zero;

[0019] If it is not met, according to a preset station output reduction principle, the near-zone new energy station output is reduced to meet the preset power system safe operation condition, and according to the total reduction value of the corresponding near-zone new energy station output, the corresponding off-grid phase modifier near-zone new energy power generation improvement capability is obtained.

[0020] Further, the step of reducing the output of the near-zone new energy station to meet the preset safe operation condition of the power system comprises:

[0021] The output reduction amount of the near-zone new energy station meeting the preset safe operation condition of the power system is optimized and adjusted by dichotomy.

[0022] Further, the preset station output reduction principle comprises:

[0023] When the output of the new energy station needs to be limited, the near-zone conventional unit is preferentially replaced or the remote small-capacity conventional unit is preferentially added;

[0024] When the output of the near-zone new energy station needs to be limited, the output of the new energy station where the off-grid phase modifier is located is preferentially reduced, and when the output of the corresponding new energy station is reduced to zero and the preset safe operation condition of the power system is still not met, the output of other new energy stations is reduced according to the preset proportion of the configuration capacity of the phase modifier.

[0025] Further, the step of obtaining the contribution coefficient of the phase modifier configuration power generation improvement of each new energy station according to the off-grid phase modifier near-zone new energy power generation improvement capacity of each near-zone power system simulation scenario comprises:

[0026] According to the off-grid phase modifier near-zone new energy power generation improvement capacity of each near-zone power system simulation scenario, the contribution value of the phase modifier configuration power generation capacity improvement of each new energy station is calculated based on the Shapley value method;

[0027] According to the contribution value of the phase modifier configuration power generation capacity improvement of each new energy station, the corresponding contribution coefficient of the phase modifier configuration power generation improvement is calculated; the contribution coefficient of the phase modifier configuration power generation improvement is represented as:

[0028]

[0029] In the formula,

[0030]

[0031] In the formula, x i is the contribution value of the phase modifier configuration power generation capacity improvement of the i th new energy station; c (V∪{i})-c (V) represents the off-grid phase modifier near-zone new energy power generation improvement capacity of the i th new energy station; P (V) is the probability of the occurrence of the union V; η i represents the contribution coefficient of the phase modifier configuration power generation improvement of the i th new energy station.

[0032] Further, the step of iterating optimization on the initial configuration of the distributed phase modifier of the nearby new energy station according to the contribution coefficient of the power generation promotion of the phase modifier configuration of each new energy station comprises:

[0033] determining whether the preset optimal configuration condition is met according to the contribution coefficient of the power generation promotion of the phase modifier configuration of all new energy stations; the preset optimal configuration condition is that the contribution coefficient of the power generation promotion of the phase modifier configuration of all new energy stations reaches a preset contribution coefficient threshold;

[0034] if the preset optimal configuration condition is met, the initial configuration scheme of the distributed phase modifier is taken as the optimal configuration scheme of the distributed phase modifier.

[0035] if the preset optimal configuration condition is not met, a first new energy station corresponding to the minimum contribution coefficient of the power generation promotion of the phase modifier configuration and a second new energy station closest to the first new energy station in terms of physical distance are obtained, the number of phase modifiers of the first new energy station is reduced, the number of phase modifiers of the second new energy station is increased, an updated configuration scheme of the phase modifier is obtained, and the contribution analysis of the power generation promotion of the phase modifier configuration is performed on the updated configuration scheme until the contribution coefficient of the power generation promotion of the phase modifier configuration of all new energy stations reaches the preset contribution coefficient threshold, and the optimal configuration scheme of the distributed phase modifier is obtained.

[0036] In a second aspect, an embodiment of the present application provides a new energy station phase modifier optimization configuration system, the system comprising:

[0037] an initial scheme acquisition module configured to acquire an initial configuration scheme of a distributed phase modifier of a nearby new energy station, and obtain a corresponding phase modifier grid-connected combination set according to the initial configuration scheme of the distributed phase modifier;

[0038] a simulation scenario generation module configured to generate a corresponding nearby power system simulation scenario according to each phase modifier grid-connected combination in the phase modifier grid-connected combination set;

[0039] a transient overvoltage calculation module configured to calculate a new energy grid-connected point transient overvoltage value of each nearby power system simulation scenario according to a preset electromechanical transient simulation tool;

[0040] a promotion capability calculation module configured to calculate a nearby new energy power generation promotion capability of an off-grid phase modifier of a corresponding nearby power system simulation scenario according to each new energy grid-connected point transient overvoltage value;

[0041] a contribution analysis module configured to obtain a contribution coefficient of the power generation promotion of the phase modifier configuration of each new energy station according to the nearby new energy power generation promotion capability of the off-grid phase modifier of each nearby power system simulation scenario;

[0042] The optimal scheme generation module is configured to iteratively optimize the initial configuration of the distributed phase modifier of the nearby new energy station according to the power generation improvement contribution coefficient of the phase modifier configuration of each new energy station, and obtain an optimal distributed phase modifier configuration scheme.

[0043] Further, the transient overvoltage calculation module comprises:

[0044] The fault transient overvoltage value analysis module is configured to perform simulation calculation of a plurality of preset fault types on each nearby power system simulation scene according to the preset electromechanical transient simulation tool, and obtain corresponding fault type transient overvoltage values; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar blocking fault and DC multiple commutation failure and blocking fault.

[0045] The grid point transient overvoltage value acquisition module is configured to acquire the maximum transient overvoltage value of all fault type transient overvoltage values of each nearby power system simulation scene, and take the maximum transient overvoltage value as the corresponding new energy grid point transient overvoltage value.

[0046] Further, the improvement capacity calculation module comprises:

[0047] The safe operation detection module is configured to judge whether the new energy grid point transient overvoltage value meets a preset power system safe operation condition; the preset power system safe operation condition is that the new energy grid point transient overvoltage value is lower than a preset transient overvoltage threshold.

[0048] The first improvement capacity evaluation module is configured to set the off-grid phase modifier nearby new energy power generation improvement capacity to zero if the new energy grid point transient overvoltage value meets the preset power system safe operation condition.

[0049] The second improvement capacity evaluation module is configured to reduce the nearby new energy station output to meet the preset power system safe operation condition according to a preset station output reduction principle, and obtain the off-grid phase modifier nearby new energy power generation improvement capacity according to the total reduction value of the corresponding nearby new energy station output if the new energy grid point transient overvoltage value does not meet the preset power system safe operation condition.

[0050] Further, the second improvement capacity evaluation module comprises:

[0051] The output reduction amount optimization module is configured to optimize and adjust the nearby new energy station output reduction amount that meets the preset power system safe operation condition by bisection method.

[0052] Further, the preset station output reduction principle comprises:

[0053] When it is necessary to limit the output of the new energy station, the near-zone conventional unit is preferentially replaced or the far-zone small-capacity conventional unit is preferentially added;

[0054] When it is necessary to limit the output of the near-zone new energy station, the output of the new energy station where the off-grid phase modifier is located is preferentially reduced, and when the output of the corresponding new energy station is reduced to zero and the preset power system safe operation condition is still not met, the output of other new energy stations is reduced according to the preset proportion of the configuration capacity of the phase modifier.

[0055] Further, the contribution analysis module comprises:

[0056] The contribution value calculation module is configured to calculate, according to the off-grid phase modifier near-zone new energy power generation improvement capacity of each near-zone power system simulation scenario, the phase modifier configuration power generation capacity improvement contribution value of each new energy station based on the Shapley value method.

[0057] The contribution coefficient calculation module is configured to calculate, according to the phase modifier configuration power generation capacity improvement contribution value of each new energy station, the corresponding phase modifier configuration power generation improvement contribution coefficient; the phase modifier configuration power generation improvement contribution coefficient is represented as:

[0058]

[0059] In the formula, V represents a set of new energy stations, and i represents the i th new energy station.

[0060]

[0061] In the formula, x i represents the phase modifier configuration power generation capacity improvement contribution value of the i th new energy station; c(V∪{i})-c(V) represents the off-grid phase modifier near-zone new energy power generation improvement capacity when the i th new energy station is included in the union V; P(V) represents the probability of the occurrence of the union V; η i represents the phase modifier configuration power generation improvement contribution coefficient of the i th new energy station.

[0062] Further, the optimal scheme generation module comprises:

[0063] The optimal condition detection module is configured to determine whether the preset optimal configuration condition is met according to the phase modifier configuration power generation improvement contribution coefficient of all new energy stations; the preset optimal configuration condition is that the phase modifier configuration power generation improvement contribution coefficient of all new energy stations reaches a preset contribution coefficient threshold.

[0064] The first optimal scheme generation module is configured to, if the preset optimal configuration condition is met, take the initial distributed phase modifier configuration scheme as the optimal distributed phase modifier configuration scheme.

[0065] The second optimal scheme generation module is configured to, if the preset optimal configuration condition is not met, acquire a first new energy station corresponding to a minimum phase modifier configuration power generation improvement contribution coefficient, and a second new energy station closest to the first new energy station in terms of physical distance, and increase the number of phase modifiers of the second new energy station while reducing the number of phase modifiers of the first new energy station to obtain an updated phase modifier configuration scheme, and perform phase modifier configuration power generation improvement contribution analysis on the updated phase modifier configuration scheme until the phase modifier configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, thereby obtaining the optimal distributed phase modifier configuration scheme.

[0066] In a third aspect, an embodiment of the present application further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above method when executing the computer program.

[0067] In a fourth aspect, an embodiment of the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executable on a processor to implement the steps of the above method.

[0068] The new energy station phase modifier optimization configuration method, system, computer device, and storage medium provided by the present application realize the acquisition of the distributed phase modifier initial configuration scheme of the near-zone new energy station, the generation of the corresponding phase modifier grid-connected combination set according to the distributed phase modifier initial configuration scheme, the generation of the corresponding near-zone power system simulation scene according to each phase modifier grid-connected combination in the phase modifier grid-connected combination set, the calculation of the new energy grid point transient overvoltage value of each near-zone power system simulation scene according to the preset electromechanical transient simulation tool, the calculation of the off-grid phase modifier near-zone new energy power generation improvement capability of the corresponding near-zone power system simulation scene according to each new energy grid point transient overvoltage value, the acquisition of the phase modifier configuration power generation improvement contribution coefficient of each new energy station according to the off-grid phase modifier near-zone new energy power generation improvement capability of each near-zone power system simulation scene, and the iterative optimization of the distributed phase modifier initial configuration of the near-zone new energy station to obtain the optimal distributed phase modifier configuration scheme. Compared with the prior art, the new energy station phase modifier optimization configuration method optimizes the distributed phase modifier configuration of the direct-current near-zone new energy station based on the marginal power generation capability improvement contribution level, ensures the safe and stable operation of the power grid, ensures the maximum power generation capability of each new energy station, effectively improves the configuration effect of the distributed phase modifier, and thus provides reliable technical support for the high power supply capability output of the new power system, and has high practical value. BRIEF DESCRIPTION OF DRAWINGS

[0069] Figure 1 is a schematic diagram of an application scenario of the new energy plant phase modifier optimization configuration method in the embodiment of the application;

[0070] Figure 2 is a process schematic diagram of the BPA-Python combined simulation model calculating the off-grid phase modifier near-zone new energy power generation improvement capability in the embodiment of the application;

[0071] Figure 3 is a distributed phase modifier wiring schematic diagram of a direct current near-zone new energy plant in the embodiment of the application;

[0072] Figure 4 is an embodiment of the application in which Figure 3 is a schematic diagram of the transient overvoltage waveform of the plant a when 15 phase modifiers are connected to the system;

[0073] Figure 5 is a structural schematic diagram of the new energy plant phase modifier optimization configuration system in the embodiment of the application;

[0074] Figure 6 is an internal structure diagram of the computer device in the embodiment of the application. DETAILED DESCRIPTION

[0075] In order to make the purposes, technical solutions and beneficial effects of the present application clearer, the application will be further described in detail below with reference to the drawings and embodiments. Obviously, the following described embodiments are only a part of the embodiments of the application, and are used to illustrate the application, but not to limit the scope of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0076] The new energy plant phase modifier optimization configuration method provided by the application can be understood as that the existing new energy distributed phase modifier optimization configuration is only based on the research on the power grid operation technical index or the investment and operation cost, and ignores the hidden value of the distributed phase modifier configuration for improving the power generation capacity under the safe and stable operation of the power grid, which leads to the application status that it is difficult to truly maximize the configuration effect of the distributed phase modifier of the new energy plant in actual application. Therefore, the technical scheme is proposed to optimize and adjust the distributed phase modifier configuration scheme of the new energy plant based on the marginal power generation capacity improvement contribution analysis level of the new energy plant under the premise of ensuring the safe and stable operation of the power grid. The following embodiments will describe the new energy plant phase modifier optimization configuration method of the application in detail.

[0077] In one embodiment, as shown in Figure 1 a new energy plant phase modifier optimization configuration method is provided, including the following steps:

[0078] S11, obtain an initial configuration scheme of the distributed phase modifier of the near-zone new energy station, and obtain a corresponding phase modifier grid-connected combination set according to the initial configuration scheme of the distributed phase modifier; wherein the initial configuration scheme of the distributed phase modifier can be understood as the number of distributed phase modifier configuration stations of each new energy station in the direct current near zone set according to human experience or other ways, which may meet the actual application scene demand, or may not meet the actual application scene demand, and needs to be evaluated by subsequent method steps, and is adjusted according to the actual evaluation result. Correspondingly, the phase modifier grid-connected combination set can be understood as a set of various phase modifier grid-connected combination modes obtained by arranging and combining the off-grid and grid-connected states of the distributed phase modifier of each new energy station, which will not be described in detail here.

[0079] S12, generate a corresponding near-zone power system simulation scene according to each phase modifier grid-connected combination in the phase modifier grid-connected combination set; wherein the near-zone power system simulation scene can be understood as a power system simulation scene built according to each phase modifier grid-connected combination, and the specific generation method will vary with the selected simulation system or simulation platform, which can be realized by referring to the corresponding prior art, and will not be described in detail here.

[0080] S13, calculate the new energy grid-connected point transient overvoltage value of each near-zone power system simulation scene according to a preset electromechanical transient simulation tool; wherein the preset electromechanical transient simulation tool can be selected according to actual application needs, and in principle only needs to meet the electromechanical transient simulation simulation needs of the power system, such as selecting one from BPA (Power System Department), DSP (Dynamic Simulation Program), PSASP (Power System Analysis Software Package) or PSS / E (Power System Simulator / Engineering) electromechanical transient simulation software, which is not limited in detail this time.

[0081] The new energy grid-connected point transient overvoltage value in the embodiment can be understood as a fault transient overvoltage value under the near-zone power system simulation scene. Considering that various fault conditions may be encountered in actual application, and the fault transient overvoltage corresponding to different fault conditions is also different, in order to meet the efficient evaluation demand of the distributed phase modifier configuration scheme, and also to ensure the comprehensiveness and reliability of the evaluation, the embodiment preferably performs simulation analysis based on various transient overvoltage fault conditions to obtain the transient overvoltage value under the most serious fault condition as a reliable basis for subsequent output reduction optimization of the new energy station. Specifically, the step of calculating the new energy grid-connected point transient overvoltage value of each near-zone power system simulation scene according to the preset electromechanical transient simulation tool comprises:

[0082] According to the preset electromechanical transient simulation tool, simulation calculation is performed on each near-zone power system simulation scene under multiple preset fault types to obtain corresponding fault type transient overvoltage values; wherein, the preset fault types can be set according to actual application requirements, and preferably include multiple fault conditions such as AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failure and lockout fault; the corresponding fault type transient overvoltage value is understood as the transient overvoltage level collected by the transient overvoltage fault simulation experiment under the corresponding near-zone power system simulation scene under different fault types; it should be noted that the simulation calculation method of the specific fault type transient overvoltage value can refer to the implementation of the corresponding prior art.

[0083] The maximum transient overvoltage value of all fault type transient overvoltage values of each near-zone power system simulation scene is obtained, and the maximum transient overvoltage value is taken as the corresponding new energy grid connection point transient overvoltage value.

[0084] S14, according to each new energy grid connection point transient overvoltage value, the off-grid phase modulation machine near-zone new energy power generation promotion capability of the corresponding near-zone power system simulation scene is calculated; wherein, the off-grid phase modulation machine near-zone new energy power generation promotion capability can be understood as the influence of the distributed phase modulation machine not connected to the grid on the DC near-zone new energy power generation under the corresponding near-zone power system simulation scene. In order to ensure that the calculated off-grid phase modulation machine near-zone new energy power generation promotion capability is consistent with the actual application scene, this embodiment preferably uses the transient overvoltage index convergence condition required for the stable operation of the actual power system, and inversely deduces the corresponding off-grid phase modulation machine near-zone new energy power generation promotion capability by simulating the reduction of the new energy station output.

[0085] Specifically, the step of calculating the off-grid phase modulation machine near-zone new energy power generation promotion capability of the corresponding near-zone power system simulation scene according to each new energy grid connection point transient overvoltage value comprises:

[0086] determine whether each new energy grid connection point transient overvoltage value meets a preset power system safe operation condition; the preset power system safe operation condition is that the new energy grid connection point transient overvoltage value is lower than a preset transient overvoltage threshold; wherein, the preset transient overvoltage threshold can be selected according to actual application requirements, for example, based on the actual power system safe operation requirement, the preset transient overvoltage threshold of the new energy grid connection point can be set to 1.3 p.u., that is, the transient overvoltage of the new energy grid connection point is not allowed to exceed this value, if it exceeds, it is considered that the power system has a risk of safe operation.

[0087] If yes, the new energy generation promotion capability of the corresponding off-grid phase modifier near zone is set to zero; that is, when the transient overvoltage value of the new energy grid connection point meets the preset safe operation condition of the power system, it indicates that the distributed phase modifier configuration of the corresponding new energy scene in this simulation scenario does not need to be optimized and adjusted, and the new energy station does not need to consider calculating the new energy generation promotion capability of the off-grid phase modifier near zone, which is directly set to 0.

[0088] If no, according to the preset field station output reduction principle, the near-zone new energy field station output is reduced to meet the preset safe operation condition of the power system, and the near-zone new energy field station output total reduction value is obtained according to the corresponding off-grid phase modifier near-zone new energy generation promotion capability; wherein, the preset field station output reduction principle can be understood as an output reduction mode that can ensure that the transient overvoltage value of each new energy grid connection point can be reduced to below the preset transient overvoltage threshold by reducing the output of the new energy field station, so as to ensure the safe operation of the entire power system.

[0089] Preferably, the preset field station output reduction principle is set to include:

[0090] When the new energy field station output needs to be limited, the near-zone conventional unit is preferentially replaced or the remote small-capacity conventional unit is preferentially added; this rule can minimize the impact of short-circuit current change on the transient overvoltage of the power system.

[0091] When the near-zone new energy field station output needs to be limited, the output of the new energy field station where the off-grid phase modifier is located is preferentially reduced, and when the output of the corresponding new energy field station is reduced to zero and still does not meet the preset safe operation condition of the power system, the output of other new energy field stations is reduced according to the preset phase modifier configuration capacity ratio; wherein, the preset phase modifier configuration capacity ratio can be set according to actual application requirements, which is not limited here; this rule can be understood as preferentially reducing the output of the new energy scene where the off-grid distributed phase modifier is not running according to the preset reduction step, and monitoring in real time whether the corresponding grid connection point transient overvoltage value meets the system transient overvoltage requirement; if the output of the new energy station where the off-grid distributed phase modifier is not running has been reduced to 0, but the corresponding grid connection point transient overvoltage value still does not meet the system transient overvoltage requirement, the output value of other new energy field stations is reduced according to the distributed phase modifier configuration capacity ratio, so that the preset safe operation condition of the power system can be finally met.

[0092] Meanwhile, in order to ensure the off-grid phase modulation machine near-zone new energy power generation promotion capability of the high-efficiency calculation of the near-zone power system simulation scene, and also improve the quantitative precision of the distributed phase modulation machine configuration to the new energy station promotion capability, and then ensure the accuracy of the subsequent phase modulation machine configuration power generation promotion contribution analysis, the embodiment preferably adopts dichotomy to continuously optimize and adjust the required reduction amount. Specifically, the step of reducing the near-zone new energy station output to meet the preset power system safe operation condition comprises:

[0093] The near-zone new energy station output reduction amount meeting the preset power system safe operation condition is optimized and adjusted by dichotomy. For example, in actual application, a joint simulation model can be built based on BPA-Python, assuming that a certain number of distributed phase modulation machines are configured in the existing n new energy stations, and the transient overvoltage (TOV) does not exceed 1.3 p.u. without disconnecting the distributed phase modulation machines of the new energy stations. However, in order to find the optimal phase modulation machine configuration scheme, it is necessary to set 2 n -1 possible simulation scenarios based on the initial configuration scheme, power system operation simulation, and use the dichotomy as shown in Figure 2 to reduce the output of the new energy station until the transient overvoltage is less than or equal to 1.3 p.u. The reduction amount of the output is denoted as ΔP i , which is the marginal power generation promotion capability of the off-grid phase modulation machine in scenario i.

[0094] S15, according to the off-grid phase modulation machine near-zone new energy power generation promotion capability of each near-zone power system simulation scene, obtaining the phase modulation machine configuration power generation promotion contribution coefficient of each new energy station.

[0095] The phase modulation machine configuration power generation promotion contribution coefficient in the embodiment can be obtained by other technical means in principle, but considering that the distributed phase modulation machine configuration power generation promotion contribution capability is actually a process similar to multi-party game in actual application, in order to ensure the accuracy and reliability of the phase modulation machine configuration power generation promotion contribution coefficient, the embodiment preferably uses Shapley value method to calculate the phase modulation machine configuration power generation promotion contribution value of each new energy station, and then analyzes the corresponding power generation promotion contribution coefficient based on the power generation promotion contribution value. Specifically, the step of obtaining the phase modulation machine configuration power generation promotion contribution coefficient of each new energy station according to the off-grid phase modulation machine near-zone new energy power generation promotion capability of each near-zone power system simulation scene comprises:

[0096] According to the off-grid phase modulation machine near-zone new energy power generation promotion capability of each near-zone power system simulation scene, the phase modulation machine configuration power generation promotion contribution value of each new energy station is calculated based on the Shapley value method; wherein the phase modulation machine configuration power generation promotion contribution value is represented as:

[0097]

[0098] wherein, x i is the power generation capacity improvement contribution value of the i th new energy station; c (V∪{i})-c (V) represents the off-grid phase modulation near new energy power generation improvement capacity of the phase modulation machine in the union V with the i th new energy station; P (V) is the probability of the appearance of the union V.

[0099] According to the power generation improvement contribution value of the phase modulation machine configuration of each new energy station, the corresponding phase modulation machine configuration power generation improvement contribution coefficient is calculated; wherein, the phase modulation machine configuration power generation improvement contribution coefficient is represented as:

[0100]

[0101] wherein, x i is the power generation capacity improvement contribution value of the i th new energy station; η i represents the phase modulation machine configuration power generation improvement contribution coefficient of the i th new energy station.

[0102] S16, according to the phase modulation machine configuration power generation improvement contribution coefficient of each new energy station, the initial configuration of the distributed phase modulation machine of the near new energy station is iteratively optimized to obtain the optimal distributed phase modulation machine configuration scheme; wherein, the optimal distributed phase modulation machine configuration scheme can be understood as the phase modulation machine configuration strategy which can ensure the safe and stable operation of the power grid and ensure the maximum power generation capacity of the new energy station, so that the distributed phase modulation machine configuration effect of the new energy station is maximized, which is obtained by one or more rounds of iterative analysis of the marginal power generation improvement capacity of the distributed phase modulation machine of each new energy station. Specifically, the step of iteratively optimizing the initial configuration of the distributed phase modulation machine of the near new energy station according to the phase modulation machine configuration power generation improvement contribution coefficient of each new energy station to obtain the optimal distributed phase modulation machine configuration scheme comprises:

[0103] According to the phase modulation machine configuration power generation improvement contribution coefficient of all new energy stations, it is judged whether the preset optimal configuration condition is met; the preset optimal configuration condition is that the phase modulation machine configuration power generation improvement contribution coefficient of all new energy stations reaches the preset contribution coefficient threshold; wherein, the preset contribution coefficient threshold can be set according to the actual application demand in the actual application scene, which is not limited here.

[0104] If yes, the initial configuration scheme of the distributed phase modifier is taken as the optimal distributed phase modifier configuration scheme; specifically, it can be understood that if the configuration contribution coefficients of all new energy stations obtained based on the initial configuration scheme of the distributed phase modifier are all up to the preset condition, the current initial configuration scheme of the distributed phase modifier can be taken as the actual configuration scheme.

[0105] If no, the first new energy station corresponding to the minimum configuration contribution coefficient of the phase modifier is obtained, and the second new energy station closest to the first new energy station in terms of physical distance is obtained, and the number of phase modifiers of the first new energy station is reduced while the number of phase modifiers of the second new energy station is increased to obtain the corresponding updated configuration scheme of the phase modifier, and the configuration contribution analysis of the updated configuration scheme of the phase modifier is performed until the configuration contribution coefficients of all new energy stations are all up to the preset contribution coefficient threshold to obtain the optimal distributed phase modifier configuration scheme; wherein the first new energy station can be understood as the new energy station corresponding to the minimum configuration contribution coefficient of the phase modifier obtained by sorting the configuration contribution coefficients of all new energy stations; the corresponding second new energy station is the new energy station closest to the first new energy station in terms of distance obtained by measuring the positions of other new energy stations around the first new energy station by using the preset physical distance evaluation method; it should be noted that the number of phase modifiers to be reduced for the first new energy station and the number of phase modifiers to be increased for the second new energy station can be set according to actual application requirements, which are not limited here.

[0106] The initial configuration scheme of the distributed phase modifier of the near-zone new energy station provided in the embodiments of the present application is obtained, the corresponding phase modifier grid-connected combination set is obtained according to the initial configuration scheme of the distributed phase modifier, each phase modifier grid-connected combination in the phase modifier grid-connected combination set is used to generate a corresponding near-zone power system simulation scene, the transient overvoltage value of the new energy grid-connected point of each near-zone power system simulation scene is calculated according to a preset electromechanical transient simulation tool, the off-grid phase modifier near-zone new energy power generation improvement capability of the corresponding near-zone power system simulation scene is calculated according to the transient overvoltage value of each new energy grid-connected point, the phase modifier configuration power generation improvement contribution coefficient of each new energy station is obtained according to the off-grid phase modifier near-zone new energy power generation improvement capability of each near-zone power system simulation scene, and the initial configuration of the distributed phase modifier of the near-zone new energy station is iteratively optimized according to the phase modifier configuration power generation improvement contribution coefficient of each new energy station to obtain the technical scheme of the optimal distributed phase modifier configuration scheme. Through the optimization of the distributed phase modifier configuration of the direct-current near-zone new energy station based on the marginal power generation capacity improvement contribution of the new energy station, the maximum power generation capacity of each new energy station can be ensured while ensuring the safe and stable operation of the power grid, the configuration effect of the distributed phase modifier is effectively improved, and then reliable technical support is provided for the high power supply capacity output of the new power system, which has high practical value.

[0107] In addition, in order to verify the effectiveness of the new energy station phase modifier optimization configuration method proposed in the present application, the embodiments also take a large-scale new energy direct-current external sending test system in a certain region as an example to carry out an analysis of the optimization configuration of the direct-current near-zone distributed phase modifier. The system topology structure of the initial configuration distributed phase modifier in the region is as shown in Figure 3 . Among them, 5 distributed phase modifiers (single capacity 50MVar) are configured in the collection station 1, 4 distributed phase modifiers are configured in the collection station 2, and 2 distributed phase modifiers are configured in the collection station 3. The above three collection stations are connected to the transformer substation 1; 4 distributed phase modifiers are configured in the collection station 4, the collection station is connected to the transformer substation 2, and the new energy installed capacity of the sending end system is 3500MW.

[0108] Based on Figure 3 , the electromechanical transient simulation under the initial configuration scheme is carried out, and the most serious new energy station of transient overvoltage in the test system is determined, which is recorded as station a. The DC occurs three consecutive commutation failure blocking faults, and the transient overvoltage waveform of station a is as shown in Figure 4 . It can be seen that the maximum transient overvoltage of the station is 1.298p.u.

[0109] To quantify the power generation improvement capability of different new energy stations after the configuration of distributed phase modulators, the permutation and combination scenarios of the grid-connected distributed phase modulators of different stations are generated, and the influence of the distributed phase modulators on the power generation capability of the near-zone new energy in different scenarios is obtained. Taking the distributed phase modulator exit operation scenario of station 4 as an example, when the near-zone new energy output is not reduced, the maximum transient overvoltage of station A is 1.3329 p.u., which is much higher than the transient overvoltage under the original configuration scheme. According to the foregoing method, after reducing the output of the near-zone energy station by 1363 MW (among which, station 1 reduces by 164 MW, station 2 reduces by 132 MW, station 3 reduces by 67 MW, and station 4 reduces by 1000 MW), the maximum transient overvoltage of the station is 1.30 p.u., reaching the critical value. In other words, based on the configuration of distributed phase modulators in the other three stations, the addition of four 50MVar distributed phase modulators in station 4 can increase the near-zone new energy output by 1363 MW. Similarly, the marginal power generation improvement capability of the phase modulator in other scenarios is calculated, and the Shapley value of the distributed phase modulator of different stations to the new energy improvement capability is calculated according to the foregoing distributed phase modulator configuration power generation improvement contribution value calculation formula, and the contribution allocation coefficient of the distributed phase modulator of different stations to the near-zone power generation improvement capability (distributed phase modulator configuration power generation improvement contribution coefficient) can also be calculated. Through the distributed phase modulator configuration power generation improvement contribution coefficient, the distributed phase modulator contribution allocation calculation result based on the marginal power generation improvement capability can be calculated, as shown in Table 1.

[0110] Table 1 Distributed phase modulator configuration power generation improvement contribution value and corresponding contribution coefficient of new energy station phase modulator

[0111]

[0112] As can be seen from Table 1, the distributed phase modulator of station 3 has a low per-unit distributed phase modulator power generation improvement contribution coefficient, which is lower than the preset contribution coefficient threshold 0.05. Therefore, the existing distributed phase modulator configuration scheme can be adjusted, one distributed phase modulator is added to the adjacent new energy station, i.e. station 2, and one distributed phase modulator is reduced in station 3, and the per-unit benefit allocation coefficient of the existing distributed phase modulator configuration scheme is recalculated. Through calculation, the per-unit distributed phase modulator power generation improvement contribution coefficient of station 3 can be improved to 0.06, meeting the expectation. In addition, the DC near-zone transient performance can be improved by optimizing the new energy and DC control parameters, ensuring the technical feasibility of the distributed phase modulator configuration scheme, so that the distributed phase modulator configuration effect is better.

[0113] It should be noted that although each step in the foregoing flowchart is displayed in sequence according to the arrow indication, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise explicitly stated herein, the execution of these steps has no strict order limitation, and these steps can be executed in other orders.

[0114] In one embodiment, as shown in Figure 5 A new energy station phase modifier optimization configuration system is provided, which comprises:

[0115] An initial scheme acquisition module 1 is configured to acquire an initial configuration scheme of distributed phase modifiers of a near-zone new energy station, and obtain a corresponding phase modifier grid-connected combination set according to the initial configuration scheme of the distributed phase modifiers.

[0116] A simulation scenario generation module 2 is configured to generate a corresponding near-zone power system simulation scenario according to each phase modifier grid-connected combination in the phase modifier grid-connected combination set.

[0117] A transient overvoltage calculation module 3 is configured to calculate a new energy grid point transient overvoltage value of each near-zone power system simulation scenario according to a preset electromechanical transient simulation tool.

[0118] A promotion capability calculation module 4 is configured to calculate a near-zone new energy power generation promotion capability of an off-grid phase modifier corresponding to a near-zone power system simulation scenario according to each new energy grid point transient overvoltage value.

[0119] A promotion contribution analysis module 5 is configured to obtain a phase modifier configuration power generation promotion contribution coefficient of each new energy station according to the near-zone new energy power generation promotion capability of the off-grid phase modifier corresponding to each near-zone power system simulation scenario.

[0120] An optimal scheme generation module 6 is configured to perform iterative optimization on an initial configuration of distributed phase modifiers of a near-zone new energy station according to the phase modifier configuration power generation promotion contribution coefficient of each new energy station, and obtain an optimal distributed phase modifier configuration scheme.

[0121] In one embodiment, a new energy station phase modifier optimization configuration system is provided, and the transient overvoltage calculation module comprises:

[0122] A fault transient overvoltage value analysis module is configured to respectively perform simulation calculation of a plurality of preset fault types on each near-zone power system simulation scenario according to the preset electromechanical transient simulation tool, and obtain a corresponding fault type transient overvoltage value; the preset fault types include an AC side short circuit fault, a DC commutation failure fault, a bipolar blocking fault, and a DC multiple commutation failure and blocking fault.

[0123] A grid point transient overvoltage value acquisition module is configured to acquire a maximum transient overvoltage value of all fault type transient overvoltage values of each near-zone power system simulation scenario, and take the maximum transient overvoltage value as a corresponding new energy grid point transient overvoltage value.

[0124] In one embodiment, a new energy station phase modifier optimization configuration system is provided, and the lifting capacity calculation module comprises:

[0125] A safe operation detection module is configured to determine whether the transient overvoltage value of each new energy grid-connected point meets a preset power system safe operation condition; the preset power system safe operation condition is that the transient overvoltage value of the new energy grid-connected point is lower than a preset transient overvoltage threshold value.

[0126] A first lifting capacity evaluation module is configured to set the off-grid phase modifier near-zone new energy power generation lifting capacity to zero if the transient overvoltage value of the new energy grid-connected point meets the preset power system safe operation condition.

[0127] A second lifting capacity evaluation module is configured to, if the transient overvoltage value of the new energy grid-connected point does not meet the preset power system safe operation condition, reduce the near-zone new energy station output according to a preset station output reduction principle to meet the preset power system safe operation condition, and obtain the off-grid phase modifier near-zone new energy power generation lifting capacity according to the total reduction value of the corresponding near-zone new energy station output.

[0128] In one embodiment, a new energy station phase modifier optimization configuration system is provided, and the preset station output reduction principle comprises:

[0129] When the new energy station output needs to be limited, the near-zone conventional unit that has been started or the remote small-capacity conventional unit that is started is preferentially replaced.

[0130] When the near-zone new energy station output needs to be limited, the output of the new energy station where the off-grid phase modifier is preferentially reduced, and when the output of the corresponding new energy station is reduced to zero and the preset power system safe operation condition is still not met, the output of other new energy stations is reduced according to a preset phase modifier configuration capacity ratio.

[0131] In one embodiment, a new energy station phase modifier optimization configuration system is provided, and the second lifting capacity evaluation module comprises:

[0132] An output reduction amount optimization module is configured to optimize and adjust the near-zone new energy station output reduction amount that meets the preset power system safe operation condition by using a bisection method.

[0133] In one embodiment, a new energy station phase modifier optimization configuration system is provided, and the lifting contribution analysis module comprises:

[0134] A contribution value calculation module is configured to calculate the phase modifier configuration power generation capacity lifting contribution value of each new energy station based on the Shapley value method according to the off-grid phase modifier near-zone new energy power generation lifting capacity of each near-zone power system simulation scenario.

[0135] The contribution coefficient calculation module is configured to calculate a corresponding phase modulation machine configuration power generation contribution coefficient according to the phase modulation machine configuration power generation contribution value of each new energy station. The phase modulation machine configuration power generation contribution coefficient is expressed as:

[0136]

[0137] In the formula, x

[0138]

[0139] wherein, x i is the phase modulation machine configuration power generation contribution value of the i-th new energy station; c(V U {i})-c(V) represents the off-grid phase modulation machine near-zone new energy power generation contribution value of the i-th new energy station; P(V) is the probability of the occurrence of the union V; η i represents the phase modulation machine configuration power generation contribution coefficient of the i-th new energy station.

[0140] In one embodiment, a new energy station phase modulation machine optimization configuration system is provided, and the optimal scheme generation module comprises:

[0141] The optimal condition detection module is configured to determine whether a preset optimal configuration condition is met according to the phase modulation machine configuration power generation contribution coefficients of all new energy stations. The preset optimal configuration condition is that the phase modulation machine configuration power generation contribution coefficients of all new energy stations reach a preset contribution coefficient threshold.

[0142] The first optimal scheme generation module is configured to, if the preset optimal configuration condition is met, take the distributed phase modulation machine initial configuration scheme as the optimal distributed phase modulation machine configuration scheme.

[0143] The second optimal scheme generation module is configured to, if the preset optimal configuration condition is not met, obtain a first new energy station corresponding to a minimum phase modulation machine configuration power generation contribution coefficient, and a second new energy station closest to the first new energy station in physical distance, and increase the number of phase modulation machines of the second new energy station while reducing the number of phase modulation machines of the first new energy station to obtain an updated phase modulation machine configuration scheme, and perform phase modulation machine configuration power generation contribution analysis on the updated phase modulation machine configuration scheme until the phase modulation machine configuration power generation contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, to obtain the optimal distributed phase modulation machine configuration scheme.

[0144] The specific limitations of the new energy station phase modifier optimization system can be referred to the limitations of the new energy station phase modifier optimization method, and the corresponding technical effects can be obtained equally, which will not be repeated here. Each module in the new energy station phase modifier optimization system can be realized by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to call and execute the operations of the above-mentioned modules by the processor.

[0145] Figure 6 The internal structure diagram of the computer device in one embodiment is shown, which can be a terminal or a server. As shown in the figure, Figure 6 The computer device includes a processor, a memory, a network interface, a display, a camera and an input device connected by a system bus. Among them, the processor of the computer device is used to provide calculation and control ability. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with the external terminal through the network connection. The computer program is executed by the processor to realize the new energy station phase modifier optimization method. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0146] Those skilled in the art can understand, Figure 6 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or less components than those shown in the figure, or combine certain components, or have the same component arrangement.

[0147] In one embodiment, a computer device is provided, which includes a memory, a processor and a computer program stored on the memory and executable on the processor, and the processor executes the computer program to realize the steps of the above-mentioned method.

[0148] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by the processor to realize the steps of the above-mentioned method.

[0149] In summary, the embodiment of the present application provides a new energy station distributed phase modifier optimization configuration method and system based on marginal power generation capacity improvement, which realizes obtaining an initial configuration scheme of a distributed phase modifier of a near-zone new energy station, obtaining a corresponding phase modifier grid-connected combination set according to the initial configuration scheme of the distributed phase modifier, generating a corresponding near-zone power system simulation scene according to each phase modifier grid-connected combination in the phase modifier grid-connected combination set, calculating a new energy grid point transient overvoltage value of each near-zone power system simulation scene according to a preset electromechanical transient simulation tool, calculating a near-zone new energy generation improvement capacity of an off-grid phase modifier of the corresponding near-zone power system simulation scene according to each new energy grid point transient overvoltage value, obtaining a phase modifier configuration generation improvement contribution coefficient of each new energy station according to the near-zone new energy generation improvement capacity of the off-grid phase modifier of each near-zone power system simulation scene, and iteratively optimizing the initial configuration of the distributed phase modifier of the near-zone new energy station according to the phase modifier configuration generation improvement contribution coefficient of each new energy station to obtain a technical scheme of an optimal distributed phase modifier configuration scheme. The method optimizes the distributed phase modifier configuration of the direct-current near-zone new energy station based on the marginal generation improvement contribution of the new energy station, can ensure the maximum generation capacity of each new energy station while ensuring the safe and stable operation of the power grid, effectively improves the configuration effect of the distributed phase modifier, and further provides reliable technical support for the high power supply capacity output of the new power system, and has high practical value.

[0150] Each embodiment in the specification is described in a progressive manner, and the same or similar parts of each embodiment can be referred to each other, and each embodiment mainly describes the difference from other embodiments. Especially, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the related parts can be referred to the part of the method embodiment. It should be noted that, each technical feature of the above-mentioned embodiments can be combined arbitrarily, in order to make the description simple, not all possible combinations of the technical features of the above-mentioned embodiments are described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the specification.

[0151] The above-described embodiments only express several preferred embodiments of the present application, the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent. It should be noted that, for ordinary skilled in the art, without departing from the technical principles of the present application, a number of improvements and replacements can be made, which should be considered as the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the protection scope of the claims.

Claims

1. A method for optimizing the configuration of synchronous condensers in new energy power stations, characterized in that, The method includes the following steps: Obtain the initial configuration scheme of distributed synchronous condensers for nearby renewable energy power stations, and obtain the corresponding set of synchronous condenser grid connection combinations based on the initial configuration scheme of distributed synchronous condensers; Based on each synchronous condenser grid connection combination in the synchronous condenser grid connection combination set, a corresponding near-field power system simulation scenario is generated; Based on the preset electromechanical transient simulation tool, calculate the transient overvoltage value of the new energy grid connection point in each near-area power system simulation scenario; Based on the transient overvoltage values ​​of each new energy grid connection point, calculate the near-area new energy power generation enhancement capability of the off-grid synchronous condenser in the corresponding near-area power system simulation scenario. Based on the near-field renewable energy generation enhancement capabilities of off-grid synchronous condensers in various near-field power system simulation scenarios, the power generation enhancement contribution coefficient of synchronous condenser configuration for each renewable energy power station is obtained. Based on the power generation contribution coefficient of the synchronous condenser configuration of each new energy power station, the initial configuration of the distributed synchronous condensers of the near-area new energy power stations is iteratively optimized to obtain the optimal distributed synchronous condenser configuration scheme.

2. The method for optimizing the configuration of synchronous condensers in new energy power stations as described in claim 1, characterized in that, The step of calculating the transient overvoltage value of the new energy grid connection point in each near-area power system simulation scenario based on the preset electromechanical transient simulation tool includes: Based on the preset electromechanical transient simulation tool, simulation calculations of various preset fault types are performed on each near-zone power system simulation scenario to obtain the corresponding fault type transient overvoltage value; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar blocking fault, and DC multiple commutation failure blocking fault. Obtain the maximum transient overvoltage value for all fault types in each near-area power system simulation scenario, and use the maximum transient overvoltage value as the corresponding transient overvoltage value for the new energy grid connection point.

3. The method for optimizing the configuration of synchronous condensers in new energy power stations as described in claim 1, characterized in that, The steps for calculating the near-field renewable energy generation enhancement capability of the off-grid synchronous condenser in the corresponding near-field power system simulation scenario based on the transient overvoltage values ​​of each renewable energy grid connection point include: Determine whether the transient overvoltage values ​​at each new energy grid connection point meet the preset power system safe operation conditions; the preset power system safe operation conditions are that the transient overvoltage values ​​at the new energy grid connection points are lower than the preset transient overvoltage threshold. If the conditions are met, the corresponding off-grid synchronous condenser's near-area renewable energy generation enhancement capability will be set to zero. If the conditions are not met, the output of the nearby renewable energy power plants will be reduced to meet the preset power system safety operation conditions according to the preset power plant output reduction principle. Based on the corresponding total output reduction value of the nearby renewable energy power plants, the corresponding off-grid synchronous condenser's nearby renewable energy power generation enhancement capacity will be obtained.

4. The method for optimizing the configuration of synchronous condensers in new energy power stations as described in claim 3, characterized in that, The preset power station output reduction principle includes: When it is necessary to restrict the output of new energy power plants, priority should be given to replacing existing conventional units in the nearby area or adding small-capacity conventional units in the far area. When it is necessary to limit the output of nearby renewable energy power plants, the output of renewable energy power plants where off-grid synchronous condensers are located should be reduced first. When the output of the corresponding renewable energy power plant drops to zero and still does not meet the preset power system safe operation conditions, the output of other renewable energy power plants should be reduced according to the preset synchronous condenser configuration capacity ratio.

5. The method for optimizing the configuration of synchronous condensers in new energy power stations as described in claim 3, characterized in that, The steps of reducing the output of near-area renewable energy power plants to meet the preset safe operation conditions of the power system include: The output reduction of near-area renewable energy power plants that meet the preset safe operation conditions of the power system is optimized and adjusted using a binary search method.

6. The method for optimizing the configuration of synchronous condensers in new energy power stations as described in claim 1, characterized in that, The step of obtaining the power generation enhancement contribution coefficient of each renewable energy power station's synchronous condenser configuration based on the near-field renewable energy power generation enhancement capability of off-grid synchronous condensers in various near-field power system simulation scenarios includes: Based on the near-field renewable energy generation enhancement capabilities of off-grid synchronous condensers in various near-field power system simulation scenarios, the contribution value of synchronous condenser configuration to enhance the power generation capacity of each renewable energy power station is calculated using the Shapley value method. Based on the contribution value of the synchronous condenser configuration to the power generation capacity improvement of each new energy power station, the corresponding synchronous condenser configuration power generation improvement contribution coefficient is calculated; the synchronous condenser configuration power generation improvement contribution coefficient is expressed as: In the formula, Where, x i The contribution value for improving the power generation capacity of the synchronous condenser configured for the i-th renewable energy power station; c(V∪{i})-c(V) represents the near-field renewable energy power generation capacity improvement of the off-grid synchronous condenser of the i-th renewable energy power station included in Alliance V; P(V) is the probability of Alliance V occurring; η i This represents the contribution coefficient of the synchronous condenser configuration to power generation improvement in the i-th renewable energy power station.

7. The method for optimizing the configuration of synchronous condensers in new energy power stations as described in claim 1, characterized in that, The steps of iteratively optimizing the initial configuration of distributed synchronous condensers for near-area renewable energy power plants based on the power generation contribution coefficient of each renewable energy power plant's synchronous condenser configuration to obtain the optimal distributed synchronous condenser configuration scheme include: The optimal configuration condition is determined based on the power generation contribution coefficient of the synchronous condenser configuration of all new energy power plants. The optimal configuration condition is that the power generation contribution coefficient of the synchronous condenser configuration of all new energy power plants reaches the preset contribution coefficient threshold. If the conditions are met, the initial configuration scheme of the distributed synchronous condenser will be taken as the optimal configuration scheme of the distributed synchronous condenser. If the condition is not met, the first new energy power station corresponding to the minimum synchronous condenser configuration power generation improvement contribution coefficient and the second new energy power station with the closest physical distance to the first new energy power station are obtained. While reducing the number of synchronous condensers in the first new energy power station, the number of synchronous condensers in the second new energy power station is increased to obtain the corresponding updated synchronous condenser configuration scheme. The updated synchronous condenser configuration scheme is then analyzed for power generation improvement contribution until the power generation improvement contribution coefficient of the synchronous condenser configuration of all new energy power stations reaches the preset contribution coefficient threshold, thus obtaining the optimal distributed synchronous condenser configuration scheme.

8. A new energy power station synchronous condenser optimization configuration system, characterized in that, The system includes: The initial scheme acquisition module is used to acquire the initial configuration scheme of the distributed synchronous condensers of the nearby renewable energy power stations, and to obtain the corresponding synchronous condenser grid connection combination set according to the initial configuration scheme of the distributed synchronous condensers; The simulation scenario generation module is used to generate corresponding near-field power system simulation scenarios based on each synchronous condenser grid connection combination in the synchronous condenser grid connection combination set. The transient overvoltage calculation module is used to calculate the transient overvoltage values ​​of new energy grid connection points in various near-field power system simulation scenarios based on preset electromechanical transient simulation tools. The capability enhancement calculation module is used to calculate the near-field renewable energy generation enhancement capability of the off-grid synchronous condenser in the corresponding near-field power system simulation scenario based on the transient overvoltage value of each renewable energy grid connection point. The contribution analysis module is used to obtain the contribution coefficient of the power generation enhancement of each new energy power station based on the near-field renewable energy power generation enhancement capability of the off-grid synchronous condenser in each near-field power system simulation scenario. The optimal solution generation module is used to iteratively optimize the initial configuration of distributed synchronous condensers of nearby new energy power plants based on the power generation improvement contribution coefficient of the synchronous condensers configuration of each new energy power plant, so as to obtain the optimal distributed synchronous condenser configuration scheme.

9. The new energy power station synchronous condenser optimization configuration system as described in claim 8, characterized in that, The transient overvoltage calculation module includes: The fault transient overvoltage value analysis module is used to perform simulation calculations for various preset fault types in different near-field power system simulation scenarios based on the preset electromechanical transient simulation tool, and obtain the corresponding fault type transient overvoltage value; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar blocking fault, and DC multiple commutation failure blocking fault. The grid connection point transient overvoltage value acquisition module is used to acquire the maximum transient overvoltage value of all fault types in the simulation scenario of each near-area power system, and to use the maximum transient overvoltage value as the corresponding new energy grid connection point transient overvoltage value.

10. The new energy power station synchronous condenser optimization configuration system as described in claim 8, characterized in that, The capability enhancement calculation module includes: The safe operation detection module is used to determine whether the transient overvoltage value of each new energy grid connection point meets the preset power system safe operation conditions; the preset power system safe operation conditions are that the transient overvoltage value of the new energy grid connection point is lower than the preset transient overvoltage threshold. The first enhancement capability assessment module is used to set the enhancement capability of the corresponding off-grid synchronous condenser near-field new energy power generation to zero if the transient overvoltage value of the new energy grid connection point meets the preset power system safe operation conditions. The second capability assessment module is used to reduce the output of the nearby new energy power station to meet the preset power system safety operation conditions if the transient overvoltage value of the new energy grid connection point does not meet the preset power system safety operation conditions, according to the preset power station output reduction principle, and obtain the corresponding near-area new energy power generation enhancement capability of the off-grid synchronous condenser based on the corresponding total output reduction value of the near-area new energy power station.

11. The new energy power station synchronous condenser optimization configuration system as described in claim 10, characterized in that, The preset power station output reduction principle includes: When it is necessary to restrict the output of new energy power plants, priority should be given to replacing existing conventional units in the nearby area or adding small-capacity conventional units in the far area. When it is necessary to limit the output of nearby renewable energy power plants, the output of renewable energy power plants where off-grid synchronous condensers are located should be reduced first. When the output of the corresponding renewable energy power plant drops to zero and still does not meet the preset power system safe operation conditions, the output of other renewable energy power plants should be reduced according to the preset synchronous condenser configuration capacity ratio.

12. The new energy power station synchronous condenser optimization configuration system as described in claim 10, characterized in that, The second capability enhancement assessment module includes: The power output reduction optimization module is used to optimize and adjust the power output reduction of near-area renewable energy power plants that meet the preset safe operation conditions of the power system through a binary search method.

13. The new energy power station synchronous condenser optimization configuration system as described in claim 8, characterized in that, The contribution analysis module includes: The contribution value calculation module is used to calculate the contribution value of the power generation capacity improvement of each new energy power station based on the Shapley value method, according to the off-grid synchronous condenser near-field new energy power generation improvement capacity of each near-field power system simulation scenario. The contribution coefficient calculation module is used to calculate the corresponding contribution coefficient for the power generation capacity improvement of each synchronous condenser configuration based on the contribution value of the synchronous condenser configuration in each renewable energy power station; the contribution coefficient for the power generation capacity improvement of the synchronous condenser configuration is expressed as: In the formula, Where, x i The contribution value for improving the power generation capacity of the synchronous condenser configured for the i-th renewable energy power station; c(V∪{i})-c(V) represents the near-field renewable energy power generation capacity improvement of the off-grid synchronous condenser of the i-th renewable energy power station included in Alliance V; P(V) is the probability of Alliance V occurring; η i This represents the contribution coefficient of the synchronous condenser configuration to power generation improvement in the i-th renewable energy power station.

14. The new energy power station synchronous condenser optimization configuration system as described in claim 8, characterized in that, The optimal solution generation module includes: The optimal condition detection module is used to determine whether the preset optimal configuration conditions are met based on the power generation improvement contribution coefficient of the synchronous condenser configuration of all new energy power plants; the preset optimal configuration conditions are that the power generation improvement contribution coefficient of the synchronous condenser configuration of all new energy power plants reaches the preset contribution coefficient threshold. The first optimal solution generation module is used to take the initial configuration scheme of the distributed synchronous condenser as the optimal distributed synchronous condenser configuration scheme if the preset optimal configuration conditions are met. The second optimal solution generation module is used to, if the preset optimal configuration conditions are not met, obtain the first new energy power station corresponding to the minimum synchronous condenser configuration power generation improvement contribution coefficient and the second new energy power station with the closest physical distance to the first new energy power station, and while reducing the number of synchronous condensers in the first new energy power station, increase the number of synchronous condensers in the second new energy power station to obtain the corresponding updated synchronous condenser configuration scheme, and perform synchronous condenser configuration power generation improvement contribution analysis on the updated synchronous condenser configuration scheme until the synchronous condenser configuration power generation improvement contribution coefficient of all new energy power stations reaches the preset contribution coefficient threshold, thereby obtaining the optimal distributed synchronous condenser configuration scheme.

15. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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