New energy field station phase modifier optimal configuration method, system, device and medium

Abstract

The invention provides a new energy field station phase modifier optimal configuration method, system, device and medium, and the method comprises the steps: obtaining a phase modifier grid-connected combination set according to an obtained distributed phase modifier initial configuration scheme of a near-region new energy field station; generating a near-area power system simulation scene according to each phase modifier grid-connected combination in the phase modifier grid-connected combination set, and calculating a new energy grid-connected point transient overvoltage value of each near-area power system simulation scene according to a preset electromechanical transient simulation tool; after the off-grid phase modifier near-area new energy power generation lifting capacity of the corresponding simulation scene is calculated, phase modifier configuration power generation lifting contribution coefficients of all the new energy stations are obtained according to the off-grid phase modifier near-area new energy power generation lifting capacity; and carrying out iterative optimization on the initial configuration condition of the distributed phase modifier of the near-region new energy field station to obtain an optimal distributed phase modifier configuration scheme. The maximum power generation capacity of the new energy station can be ensured while safe and stable operation of the power grid is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method, system, computer equipment and storage medium for optimizing configuration of phase regulators at new energy stations based on improvement of marginal power generation capacity. Background Art

[0002] As renewable energy sources such as wind power and photovoltaic power continue to be connected to the power system, the new power system will present the "double high" characteristics of a high proportion of renewable energy and a high proportion of power electronics. Since new energy units do not have the ability to regulate voltage, the incorporation of large-scale new energy weak-sending systems will lead to a decrease in the voltage support capacity of the power system, and the problem of transient overvoltage will be prominent. Distributed phase regulators have both dynamic and transient reactive support, short-circuit capacity and inertia support capabilities, which can improve the power generation efficiency of new energy bases and the safety and stability of the power grid. Therefore, how to reasonably configure distributed phase regulators at new energy sites to promote the consumption of new energy has become a hot topic for many scholars.

[0003] The optimization configuration of existing distributed phase-shifters mainly includes the study of site selection and sizing of distributed phase-shifters based on technical indicators as the basis for configuration, and the study of distributed phase-shifter configuration based on the technical requirements of power grid operation and the investment and operation and maintenance costs. However, they all ignore the invisible value of distributed phase-shifter configuration in achieving improved power generation capacity under safe and stable power grid operation, and do not consider the analysis of the contribution of distributed phase-shifters to the improvement of power generation capacity of new energy stations. It is difficult to truly guarantee the distributed phase-shifter configuration effect of new energy stations in actual applications. Summary of the invention

[0004] The purpose of the present invention is to provide a method for optimizing the configuration of phase condensers in new energy stations, which optimizes the configuration of distributed phase condensers based on the contribution level of the marginal power generation capacity improvement of new energy stations. While ensuring the safe and stable operation of the power grid, it can ensure the maximum power generation capacity of each new energy station, thereby maximizing the configuration effect of distributed phase condensers in new energy stations.

[0005] In order to achieve the above objectives, it is necessary to provide a method, system, computer equipment and storage medium for optimizing the configuration of phase regulators in a new energy station in response to the above technical problems.

[0006] In a first aspect, an embodiment of the present invention provides a method for optimizing configuration of a phase regulator at a new energy station, the method comprising the following steps:

[0007] Obtaining an initial configuration plan of distributed phase regulators of nearby new energy stations, and obtaining a corresponding grid-connected combination set of phase regulators according to the initial configuration plan of distributed phase regulators;

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

[0009] According to the preset electromechanical transient simulation tool, calculate the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario;

[0010] According to the transient overvoltage value of each renewable energy grid connection point, calculate the near-region renewable energy power generation improvement capacity of the off-grid phase shifter corresponding to the near-region power system simulation scenario;

[0011] According to the near-region renewable energy power generation enhancement capability of off-grid phase-shifters in each near-region power system simulation scenario, the contribution coefficient of phase-shifter configuration power generation enhancement of each renewable energy station is obtained;

[0012] According to the contribution coefficient of power generation improvement of the phase condenser configuration of each renewable energy station, the initial configuration of the distributed phase condensers in the nearby renewable energy stations is iteratively optimized to obtain the optimal distributed phase condenser configuration plan.

[0013] Furthermore, the step of calculating the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario according to the preset electromechanical transient simulation tool includes:

[0014] According to the preset electromechanical transient simulation tool, simulation calculations of various preset fault types are performed on each nearby power system simulation scenario to obtain corresponding transient overvoltage values ​​of the fault types; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failure after lockout fault;

[0015] The maximum transient overvoltage value of all fault type transient overvoltage values ​​of each nearby power system simulation scenario is obtained, and the maximum transient overvoltage value is used as the corresponding transient overvoltage value of the new energy grid connection point.

[0016] Furthermore, the step of calculating the near-region renewable energy power generation enhancement capability of the off-grid phase regulator corresponding to the near-region power system simulation scenario according to the transient overvoltage value of each renewable energy grid connection point includes:

[0017] Determine whether the transient overvoltage value of each renewable energy grid connection point meets the preset power system safety operation condition; the preset power system safety operation condition is that the transient overvoltage value of the renewable energy grid connection point is lower than the preset transient overvoltage threshold;

[0018] If it is satisfied, the corresponding off-grid phase-shifting phase near-region renewable energy power generation enhancement capacity is set to zero;

[0019] If it is not met, the output of the nearby new energy station will be reduced according to the preset station output reduction principle to meet the preset power system safe operation conditions, and the corresponding off-grid phase-shifting phase nearby new energy power generation enhancement capacity will be obtained according to the corresponding total output reduction value of the nearby new energy station.

[0020] Furthermore, the step of reducing the output of the nearby new energy station to meet the preset power system safe operation conditions includes:

[0021] Through the dichotomy method, the output reduction of nearby renewable energy stations that meet the preset safe operation conditions of the power system is optimized and adjusted.

[0022] Furthermore, the preset station output reduction principles include:

[0023] When it is necessary to limit the output of new energy stations, priority should be given to replacing existing conventional units in the vicinity or adding small-capacity conventional units in the far end;

[0024] When it is necessary to limit the output of nearby renewable energy stations, the output of the renewable energy station where the off-grid phase-shifting machine is located shall be reduced first. When the output of the corresponding renewable energy station drops to zero and still fails to meet the preset safe operation conditions of the power system, the output of other renewable energy stations shall be reduced according to the preset phase-shifting machine configuration capacity ratio.

[0025] Furthermore, the step of obtaining the power generation enhancement contribution coefficient of the phase regulator configuration of each new energy station according to the near-region renewable energy power generation enhancement capability of the off-grid phase regulator of each near-region power system simulation scenario includes:

[0026] According to the near-region renewable energy power generation improvement capacity of off-grid phase-shifting devices in each near-region power system simulation scenario, the contribution value of the phase-shifting device configuration power generation capacity improvement of each renewable energy station is calculated based on the Shapley value method;

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

[0028]

[0029] In the formula,

[0030]

[0031] Among them, x i is the contribution value of the phase-shifting configuration of the i-th renewable energy station to improve the power generation capacity; c(V∪{i})-c(V) represents the improvement of the near-region renewable energy power generation capacity of the off-grid phase-shifting of the i-th renewable energy station into the alliance V; P(V) is the probability of the alliance V appearing; η i It represents the contribution coefficient of power generation improvement of the phase-shifting configuration of the i-th renewable energy station.

[0032] Furthermore, the steps of iteratively optimizing the initial configuration of the distributed phase regulators of the nearby new energy stations according to the power generation improvement contribution coefficient of the phase regulator configuration of each new energy station to obtain the optimal distributed phase regulator configuration scheme include:

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

[0034] If the conditions are met, the initial configuration scheme of the distributed phase condenser is used as the optimal configuration scheme of the distributed phase condenser;

[0035] If it is not satisfied, then obtain the first new energy station corresponding to the minimum phase-modulator configuration power generation improvement contribution coefficient, and the second new energy station that is physically closest to the first new energy station, and while reducing the number of phase-modulators at the first new energy station, increase the number of phase-modulators at the second new energy station to obtain the corresponding updated phase-modulator configuration plan, and perform phase-modulator configuration power generation improvement contribution analysis on the updated phase-modulator configuration plan, until the phase-modulator configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, and obtain the optimal distributed phase-modulator configuration plan.

[0036] In a second aspect, an embodiment of the present invention provides a system for optimizing configuration of phase regulators in a new energy station, the system comprising:

[0037] An initial scheme acquisition module is used to acquire an initial configuration scheme of distributed phase regulators of nearby new energy stations, and obtain a corresponding grid-connected combination set of phase regulators according to the initial configuration scheme of distributed phase regulators;

[0038] A simulation scenario generation module, used for generating a corresponding near-area power system simulation scenario according to each phase regulator grid-connected combination in the phase regulator grid-connected combination set;

[0039] The transient overvoltage calculation module is used to calculate the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario according to the preset electromechanical transient simulation tool;

[0040] The boost capacity calculation module is used to calculate the boost capacity of the off-grid phase-shifting machine in the vicinity of the power system simulation scenario according to the transient overvoltage value of each renewable energy grid connection point;

[0041] The improvement contribution analysis module is used to obtain the power generation improvement contribution coefficient of the phase-shifting configuration of each renewable energy station according to the near-region renewable energy power generation improvement capacity of the off-grid phase-shifting in each near-region power system simulation scenario;

[0042] The optimal solution generation module is used to iteratively optimize the initial configuration of distributed phase regulators in nearby renewable energy stations according to the contribution coefficient of power generation improvement of the phase regulator configuration of each renewable energy station, and obtain the optimal distributed phase regulator configuration solution.

[0043] Furthermore, the transient overvoltage calculation module includes:

[0044] A fault transient overvoltage value analysis module is used to perform simulation calculations of various preset fault types on each nearby power system simulation scenario according to the preset electromechanical transient simulation tool to obtain corresponding transient overvoltage values ​​of the fault type; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failure after lockout fault;

[0045] The grid connection point transient overvoltage value acquisition module is used to obtain the maximum transient overvoltage value of all fault type transient overvoltage values ​​in each nearby power system simulation scenario, and use the maximum transient overvoltage value as the corresponding new energy grid connection point transient overvoltage value.

[0046] Furthermore, the lifting capacity calculation module includes:

[0047] A safe operation detection module is used to determine whether the transient overvoltage value of each renewable energy grid connection point meets the preset power system safe operation condition; the preset power system safe operation condition is that the transient overvoltage value of the renewable energy grid connection point is lower than the preset transient overvoltage threshold;

[0048] The first boosting capacity evaluation module is used to set the boosting capacity of the corresponding off-grid phase-shifting phase near the renewable energy power generation to zero if the transient overvoltage value of the renewable energy grid connection point meets the preset power system safe operation condition;

[0049] The second capacity enhancement evaluation module is used to reduce the output of the nearby new energy station to meet the preset power system safety operation conditions according to the preset station output reduction principle if the transient overvoltage value of the new energy grid-connected point does not meet the preset power system safety operation conditions, and obtain the corresponding off-grid phase-shifting phase near-area new energy power generation enhancement capacity according to the corresponding total output reduction value of the nearby new energy station.

[0050] Furthermore, the second improvement capability assessment module includes:

[0051] The output reduction optimization module is used to optimize and adjust the output reduction of the nearby new energy stations that meet the preset power system safe operation conditions through dichotomy.

[0052] Furthermore, the preset station output reduction principles include:

[0053] When it is necessary to limit the output of new energy stations, priority should be given to replacing existing conventional units in the vicinity or adding small-capacity conventional units in the far end;

[0054] When it is necessary to limit the output of nearby renewable energy stations, the output of the renewable energy station where the off-grid phase-shifting machine is located shall be reduced first. When the output of the corresponding renewable energy station drops to zero and still fails to meet the preset safe operation conditions of the power system, the output of other renewable energy stations shall be reduced according to the preset phase-shifting machine configuration capacity ratio.

[0055] Furthermore, the improvement contribution analysis module includes:

[0056] The contribution value calculation module is used to calculate the contribution value of the power generation capacity improvement of the phase-shifting configuration of each renewable energy station based on the Shapley value method according to the off-grid phase-shifting near-region renewable energy power generation improvement capacity of each near-region power system simulation scenario;

[0057] The contribution coefficient calculation module is used to calculate the corresponding phase-shifting configuration power generation improvement contribution coefficient according to the contribution value of the phase-shifting configuration power generation improvement of each new energy station; the phase-shifting configuration power generation improvement contribution coefficient is expressed as:

[0058]

[0059] In the formula,

[0060]

[0061] Among them, x i is the contribution value of the phase-shifting configuration of the i-th renewable energy station to improve the power generation capacity; c(V∪{i})-c(V) represents the improvement of the near-region renewable energy power generation capacity of the off-grid phase-shifting of the i-th renewable energy station into the alliance V; P(V) is the probability of the alliance V appearing; η i It represents the contribution coefficient of power generation improvement of the phase-shifting configuration of the i-th renewable energy station.

[0062] Furthermore, the optimal solution generation module includes:

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

[0064] A first optimal solution generating module, configured to use the initial configuration solution of the distributed phase condenser as the optimal distributed phase condenser configuration solution if a preset optimal configuration condition is met;

[0065] The second optimal solution generation module is used to obtain the first new energy station corresponding to the minimum phase-shifting configuration power generation improvement contribution coefficient and the second new energy station that is physically closest to the first new energy station if the preset optimal configuration conditions are not met, and while reducing the number of phase-shifting units at the first new energy station, increase the number of phase-shifting units at the second new energy station to obtain the corresponding updated phase-shifting configuration solution, and perform phase-shifting configuration power generation improvement contribution analysis on the updated phase-shifting configuration solution, until the phase-shifting configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, and obtain the optimal distributed phase-shifting configuration solution.

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

[0067] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0068] The above-mentioned application provides a method, system, computer equipment and storage medium for optimizing the configuration of phase regulators at new energy stations. The method is used to obtain the initial configuration plan of distributed phase regulators at near-region new energy stations, obtain the corresponding phase regulator grid-connected combination set according to the initial configuration plan of distributed phase regulators, and then generate the corresponding near-region power system simulation scenario according to each phase regulator grid-connected combination in the phase regulator grid-connected combination set. According to the preset electromechanical transient simulation tool, after calculating the transient overvoltage value of the new energy grid-connected point of each near-region power system simulation scenario, the near-region new energy power generation improvement capacity of the off-grid phase regulators corresponding to the near-region power system simulation scenario is calculated according to the transient overvoltage value of each new energy grid-connected point, and the near-region new energy power generation improvement capacity of the off-grid phase regulators of each near-region power system simulation scenario is obtained according to the near-region new energy power generation improvement capacity of the off-grid phase regulators of each near-region power system simulation scenario, and the phase regulator configuration power generation improvement contribution coefficient of each new energy station is obtained according to the phase regulator configuration power generation improvement contribution coefficient of each new energy station, and the initial configuration of the distributed phase regulators at the near-region new energy stations is iteratively optimized according to the phase regulator configuration power generation improvement contribution coefficient of each new energy station, to obtain the optimal distributed phase regulator configuration plan. Technical solution. Compared with the existing technology, the method for optimizing the configuration of phase regulators at new energy stations optimizes the configuration of distributed phase regulators at DC near-zone new energy stations based on the contribution level of marginal power generation capacity improvement of new energy stations. While ensuring the safe and stable operation of the power grid, it can also ensure the maximum power generation capacity of each new energy station, effectively improve the configuration effect of distributed phase regulators, and thus provide reliable technical guarantee for the high power supply capacity output of the new power system, which has high practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 Schematic diagram of an application scenario of a method for optimizing configuration of a phase-shifting device in a new energy station according to an embodiment of the present invention;

[0070] Figure 2 It is a schematic diagram of a process of calculating the near-area renewable energy power generation enhancement capability of an off-grid phase shifter using a BPA-Python joint simulation model in an embodiment of the present invention;

[0071] Figure 3 This is a schematic diagram of the wiring of a distributed phase regulator of a DC near-zone new energy station in an embodiment of the present invention;

[0072] Figure 4 In the embodiment of the present invention, Figure 3 Schematic diagram of transient overvoltage waveform at station a when all 15 phase regulators are connected to the system;

[0073] Figure 5 2 is a schematic diagram of the structure of the phase-shifting optimization configuration system for a new energy station in an embodiment of the present invention;

[0074] Figure 6 It is a diagram of the internal structure of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0075] In order to make the purpose, technical scheme and beneficial effects of the present application clearer, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the embodiments described below are part of the embodiments of the present invention and are only used to illustrate the present invention, but are not used to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] The method for optimizing the configuration of phase condensers in new energy stations provided by the present invention can be understood as the existing optimization configuration of distributed phase condensers in new energy stations is only studied based on the technical indicators of power grid operation or the investment and operation and maintenance costs, while ignoring the invisible value of distributed phase condensers configuration to achieve the improvement of power generation capacity under the safe and stable operation of the power grid, resulting in the current situation that it is difficult to truly ensure the maximization of the distributed phase condensers configuration effect of new energy stations in actual applications. A technical solution is proposed to optimize and adjust the distributed phase condensers configuration scheme of new energy stations based on the contribution analysis level of the marginal power generation capacity improvement of new energy stations under the premise of ensuring the safe and stable operation of the power grid. The following embodiments will explain the method for optimizing the configuration of phase condensers in new energy stations of the present invention in detail.

[0077] In one embodiment, Figure 1 As shown, a method for optimizing configuration of a phase regulator in a new energy station is provided, comprising the following steps:

[0078] S11. Obtain the initial configuration plan of the distributed phase regulators of the near-zone new energy stations, and obtain the corresponding phase regulator grid-connected combination set according to the initial configuration plan of the distributed phase regulators; wherein, the initial configuration plan of the distributed phase regulators can be understood as the number of distributed phase regulators configured for each DC near-zone new energy station set according to human experience or other methods. The initial configuration plan may or may not meet the requirements of the actual application scenario. It is necessary to evaluate the configuration plan through subsequent method steps and optimize and adjust it according to the actual evaluation results. Correspondingly, the phase regulator grid-connected combination set can be understood as a collection of multiple phase regulator grid-connected combination methods obtained by arranging and combining the two different states of the distributed phase regulators of each new energy station, namely, the off-grid and grid-connected states, which will not be described in detail here.

[0079] S12. Generate a corresponding near-area power system simulation scenario according to each phase regulator grid-connected combination in the phase regulator grid-connected combination set; wherein, the near-area power system simulation scenario can be understood as a power system simulation scenario built according to each phase regulator grid-connected combination. The specific generation method will vary depending on the selected simulation system or simulation platform, and can be implemented by referring to the corresponding existing technology, which will not be described in detail here.

[0080] S13. According to the preset electromechanical transient simulation tool, calculate the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario; wherein, the preset electromechanical transient simulation tool can be selected according to the actual application requirements. In principle, it only needs to meet the electromechanical transient simulation requirements 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) and other electromechanical transient simulation software, and no specific limitation is made this time.

[0081] In this embodiment, the transient overvoltage value of the new energy grid connection point can be understood as the fault transient overvoltage value in the near-area power system simulation scenario. Taking into account that a variety of fault conditions may be encountered in actual applications, and the fault transient overvoltage conditions corresponding to different fault conditions are also different, in order to meet the needs of efficient evaluation of distributed phase-shifting phase configuration schemes while ensuring the comprehensiveness and reliability of the evaluation, this embodiment preferably performs simulation analysis based on a variety of transient overvoltage fault conditions to obtain the transient overvoltage value under the most serious fault condition as a reliable basis for subsequent optimization of output reduction of new energy stations. Specifically, the step of calculating the transient overvoltage value of the new energy grid connection point for each near-area power system simulation scenario according to the preset electromechanical transient simulation tool includes:

[0082] According to the preset electromechanical transient simulation tool, simulation calculations of various preset fault types are performed on each near-area power system simulation scenario to obtain corresponding fault type transient overvoltage values; wherein the preset fault type can be set according to actual application requirements, preferably including multiple fault conditions such as AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failures followed by lockout fault; the corresponding fault type transient overvoltage value is understood to be the transient overvoltage level collected by performing transient overvoltage fault simulation experiments of different fault types under the corresponding near-area power system simulation scenario; it should be noted that the simulation calculation method of the transient overvoltage value of a specific fault type can be implemented by referring to the corresponding existing technology.

[0083] The maximum transient overvoltage value of all fault type transient overvoltage values ​​of each nearby power system simulation scenario is obtained, and the maximum transient overvoltage value is used as the corresponding transient overvoltage value of the new energy grid connection point.

[0084] S14. According to the transient overvoltage values ​​of each new energy grid-connected point, calculate the off-grid phase-shifting phase shifting phase shifting near-region new energy power generation enhancement capacity corresponding to the near-region power system simulation scenario; wherein, the off-grid phase-shifting phase shifting phase shifting near-region new energy power generation enhancement capacity can be understood as the impact of the distributed phase-shifting phase shifting phase shifting phase shifting phase shifting phase shifting phase shifting phase shifting on the power generation enhancement of the DC near-region new energy in the near-region power system simulation scenario. In order to ensure that the calculated off-grid phase-shifting phase shifting near-region new energy power generation enhancement capacity fits the actual application scenario, this embodiment preferably uses the transient overvoltage indicator convergence conditions required for the stable operation of the actual power system, and reversely derives the corresponding off-grid phase-shifting phase shifting near-region new energy power generation enhancement capacity by simulating the reduction of the output of the new energy station.

[0085] Specifically, the step of calculating the near-region renewable energy power generation enhancement capability of the off-grid phase-converter corresponding to the near-region power system simulation scenario according to the transient overvoltage value of each renewable energy grid connection point includes:

[0086] Determine whether the transient overvoltage value of each renewable energy grid-connected point meets the preset safe operation conditions of the power system; the preset safe operation conditions of the power system are that the transient overvoltage value of the renewable energy grid-connected point is lower than the preset transient overvoltage threshold; wherein, the preset transient overvoltage threshold can be selected according to actual application requirements. For example, based on the actual safe operation requirements of the power system, the preset transient overvoltage threshold of the renewable energy grid-connected point can be set to 1.3pu, that is, the transient overvoltage of the renewable energy grid-connected point is not allowed to exceed this value. If exceeded, it is considered that there is a risk of safe operation of the power system.

[0087] If it is satisfied, the corresponding off-grid phase-shifting phase-shifting phase near-area renewable energy power generation enhancement capacity will be set to zero; that is, when the transient overvoltage value at the renewable energy grid-connected point meets the preset power system safety operation conditions, it indicates that the distributed phase-shifting phase-shifting configuration corresponding to the renewable energy scenario in the simulation scenario does not need to be optimized and adjusted, and the renewable energy site does not need to consider calculating the off-grid phase-shifting phase-shifting phase near-area renewable energy power generation enhancement capacity, and it can be directly set to 0.

[0088] If it is not satisfied, then according to the preset station output reduction principle, the output of the nearby new energy station will be reduced to meet the preset power system safe operation conditions, and according to the corresponding total output reduction value of the nearby new energy station, the corresponding off-grid phase-shifting phase nearby new energy power generation improvement capacity is obtained; wherein, the preset station output reduction principle can be understood as an output reduction method that can ensure that by reducing the output of the new energy station, the transient overvoltage value of the new energy grid-connected point corresponding to each new energy station can be reduced to below the preset transient overvoltage threshold, so as to ensure the safe operation of the entire power system.

[0089] In this embodiment, the preset station output reduction principle is preferably set to include:

[0090] When it is necessary to limit the output of new energy stations, priority should be given to replacing existing conventional units in the vicinity or adding small-capacity conventional units in the distance; this rule can minimize the impact of short-circuit current changes on transient overvoltages in the power system.

[0091] When it is necessary to limit the output of nearby renewable energy stations, the output of the renewable energy station where the off-grid phase regulator is located shall be reduced first, and when the output of the corresponding renewable energy station drops to zero and still fails to meet the preset safe operation conditions of the power system, the output of other renewable energy stations shall be reduced according to the preset phase regulator configuration capacity ratio; wherein, the preset phase regulator configuration capacity ratio can be set according to actual application requirements and is not specifically limited here; this rule can be understood as giving priority to reducing the output of the renewable energy scene where the distributed phase regulator that is not connected to the grid is located according to the preset reduction step, and monitoring in real time whether the transient overvoltage value of the corresponding grid connection point meets the transient overvoltage requirement of the system; if the output of the renewable energy station where the distributed phase regulator that is not connected to the grid is located has dropped to 0, but the transient overvoltage value of the corresponding grid connection point still fails to meet the transient overvoltage requirement of the system, the output of other renewable energy stations shall be reduced according to the distributed phase regulator configuration capacity ratio, so that the preset safe operation conditions of the power system can be finally met.

[0092] At the same time, in order to ensure the efficient calculation of the near-area power system simulation scenario of the off-grid phase-shifting phase-shifting near-area renewable energy power generation enhancement capability, and also to improve the quantitative accuracy of the distributed phase-shifting phase-shifting configuration on the renewable energy station enhancement capability, and thus to ensure the accuracy of the subsequent phase-shifting phase-shifting configuration power generation enhancement contribution analysis, this embodiment preferably uses the dichotomy method to continuously optimize and adjust the required reduction amount. Specifically, the steps of reducing the output of the near-area renewable energy station to meet the preset power system safety operation conditions include:

[0093] Through the dichotomy method, the output reduction of the near-area renewable energy station that meets the preset safe operation conditions of the power system is optimized and adjusted. For example, in practical applications, a joint simulation model can be built based on BPA-Python. Assuming that there are n renewable energy stations equipped with a certain number of distributed phase regulators, the transient overvoltage TOV does not exceed 1.3pu when the distributed phase regulators of the renewable energy stations are not disconnected. However, in order to find the optimal phase regulator configuration scheme, it is necessary to set 2 based on the initial configuration scheme and the grid-connected and off-grid conditions of the distributed phase regulators. n -1 possible simulation scenario to simulate the operation of the power system, and for the scenario where the transient overvoltage exceeds 1.3pu, use Figure 2 The dichotomy shown in the figure reduces the output of the new energy station until the transient overvoltage is less than or equal to 1.3pu. The reduction in output is recorded as ΔP i , which is the marginal power generation improvement capacity of the phase-shifting machine that is not connected to the grid in scenario i.

[0094] S15. According to the off-grid phase-shifting machine near-region renewable energy power generation enhancement capability of each near-region power system simulation scenario, the phase-shifting machine configuration power generation enhancement contribution coefficient of each renewable energy station is obtained.

[0095] In principle, the power generation enhancement contribution coefficient of the phase-shifting phase in this embodiment can be obtained by other technical means. However, considering that the power generation enhancement contribution capacity of the distributed phase-shifting phase in actual applications is actually a process similar to multi-party game, in order to ensure the accuracy and reliability of the power generation enhancement contribution coefficient of the phase-shifting phase, this embodiment preferably uses the Shapley value method to calculate the power generation enhancement contribution value of the phase-shifting phase at each new energy station, and then obtains the corresponding power generation enhancement contribution coefficient based on the power generation enhancement contribution value analysis. Specifically, the steps of obtaining the power generation enhancement contribution coefficient of the phase-shifting phase at each new energy station according to the near-region new energy power generation enhancement capacity of the off-grid phase-shifting phase in each near-region power system simulation scenario include:

[0096] According to the near-region renewable energy power generation improvement capacity of off-grid phase-shifting devices in each near-region power system simulation scenario, the contribution value of the phase-shifting device configuration power generation capacity improvement of each renewable energy station is calculated based on the Shapley value method; among them, the contribution value of the phase-shifting device configuration power generation capacity improvement is expressed as:

[0097]

[0098] Among them, x i is the contribution value of the phase-shifting configuration of the i-th renewable energy station to improve the power generation capacity; c(V∪{i})-c(V) represents the improvement of the near-region renewable energy power generation capacity of the off-grid phase-shifting system of the i-th renewable energy station into the alliance V; P(V) is the probability of the alliance V appearing.

[0099] According to the contribution value of the power generation capacity improvement of the phase-converter configuration of each new energy station, the corresponding contribution coefficient of the power generation improvement of the phase-converter configuration is calculated; among which, the contribution coefficient of the power generation improvement of the phase-converter configuration is expressed as:

[0100]

[0101] Among them, x i The contribution value of the power generation capacity improvement of the phase-shifting configuration of the i-th new energy station; η i It represents the contribution coefficient of power generation improvement of the phase-shifting configuration of the i-th renewable energy station.

[0102] S16. According to the contribution coefficient of the phase-shifting configuration of each new energy station to power generation improvement, the initial configuration of the distributed phase-shifting devices in the nearby new energy station is iteratively optimized to obtain the optimal distributed phase-shifting device configuration plan; wherein, the optimal distributed phase-shifting device configuration plan can be understood as a phase-shifting device configuration strategy that can not only ensure the safe and stable operation of the power grid, but also ensure the maximum power generation capacity of the new energy station, so as to maximize the distributed phase-shifting device configuration effect of the new energy station, by performing one or more rounds of iterative analysis on the marginal power generation improvement capacity of the distributed phase-shifting devices in each new energy station. Specifically, the steps of iteratively optimizing the initial configuration of the distributed phase-shifting devices in the nearby new energy station according to the contribution coefficient of the phase-shifting configuration of each new energy station to obtain the optimal distributed phase-shifting device configuration plan include:

[0103] Whether the preset optimal configuration conditions are met is determined based on the contribution coefficients of the phase-shifting configurations of all new energy stations for power generation improvement; the preset optimal configuration conditions are that the contribution coefficients of the phase-shifting configurations of all new energy stations for power generation improvement reach the preset contribution coefficient threshold; wherein, the preset contribution coefficient threshold can be set according to the actual application requirements in the actual application scenario, and is not specifically limited here.

[0104] If it is satisfied, the distributed phase condenser initial configuration plan will be used as the optimal distributed phase condenser configuration plan; specifically, it can be understood that if the contribution coefficients of the phase condenser configuration power generation improvement of each new energy station obtained based on the analysis of the contribution of the phase condenser configuration of new energy stations to power generation improvement in the distributed phase condenser initial configuration plan all meet the preset conditions, then it is considered that the current distributed phase condenser initial configuration plan can be applied and implemented as an actual deployment plan.

[0105] If not satisfied, the first new energy station corresponding to the minimum phase-shifting configuration power generation improvement contribution coefficient and the second new energy station with the closest physical distance to the first new energy station are obtained, and while reducing the number of phase-shifting units of the first new energy station, the number of phase-shifting units of the second new energy station is increased to obtain the corresponding updated phase-shifting configuration scheme, and the phase-shifting configuration power generation improvement contribution analysis is performed on the updated phase-shifting configuration scheme, until the phase-shifting configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, and the optimal distributed phase-shifting configuration scheme is obtained; wherein, the first new energy station can be understood as the new energy station corresponding to the minimum phase-shifting configuration power generation improvement contribution coefficient obtained by sorting the phase-shifting configuration power generation improvement contribution coefficients of all new energy stations; the corresponding second new energy station is the new energy station with the smallest distance from the first new energy station obtained by positionally calculating other new energy stations around the first new energy station through a preset physical distance evaluation method; it should be noted that in actual applications, the number of phase-shifting units required to be reduced in the first new energy station and the number of phase-shifting units required to be increased in the second new energy station can be set according to actual application needs, and no specific limitation is made here.

[0106] The embodiment of the present application provides an initial configuration scheme for obtaining a distributed phase regulator for a near-region new energy station, obtains a corresponding phase regulator grid-connected combination set according to the initial configuration scheme of the distributed phase regulator, and then generates a corresponding near-region power system simulation scenario according to each phase regulator grid-connected combination in the phase regulator grid-connected combination set, calculates the transient overvoltage value of the new energy grid-connected point of each near-region power system simulation scenario according to a preset electromechanical transient simulation tool, calculates the near-region new energy power generation improvement capacity of the off-grid phase regulator corresponding to the near-region power system simulation scenario according to the transient overvoltage value of each new energy grid-connected point, and obtains the near-region new energy power generation improvement capacity of each off-grid phase regulator according to each near-region power system simulation scenario. The technical solution of optimizing the distributed phase-shifting configuration of DC near-region new energy stations based on the contribution level of marginal power generation capacity improvement of new energy stations can ensure the maximum power generation capacity of each new energy station while ensuring the safe and stable operation of the power grid, effectively improve the configuration effect of distributed phase-shifting, and provide reliable technical guarantee for the high power supply capacity output of new power systems, which has high practical value.

[0107] In addition, in order to verify the effectiveness of the optimal configuration method of the new energy station phase shifter proposed in this application, this embodiment also takes a large-scale new energy DC transmission test system in a certain area as an example to carry out an optimal configuration analysis of the DC near-area distributed phase shifter, and sets the system topology structure of the initial configuration of the distributed phase shifter in the area as follows: Figure 3 Among them, 5 distributed phase regulators (single unit capacity 50MVar) are configured at collection station 1, 4 distributed phase regulators are configured at collection station 2, and 2 distributed phase regulators are configured at collection station 3. The above three collection stations are connected to substation 1; 4 distributed phase regulators are configured at collection station 4, which is connected to substation 2, and the installed capacity of new energy at the sending end system is 3500MW.

[0108] based on Figure 3 The electromechanical transient simulation of the power system shown in the figure is carried out under the initial configuration scheme to identify the new energy station with the most serious transient overvoltage in the test system, and record this station as station a. The DC fails to lock after three consecutive commutation failures. The transient overvoltage waveform of station a is as follows Figure 4 As shown, it can be seen that the maximum transient overvoltage of the station is 1.298pu.

[0109] In order to quantify the improvement capacity of power generation of different renewable energy stations after configuring distributed phase-converters, the permutation and combination scenarios of distributed phase-converters connected to the grid at different stations are generated to obtain the impact of distributed phase-converters on the power generation capacity of renewable energy in the vicinity in different scenarios. Taking the scenario of the exit of distributed phase-converters at collection station 4 as an example, when the output of renewable energy in the vicinity is not reduced, the maximum transient overvoltage of station A is 1.3329pu, which is much higher than the transient overvoltage under the original configuration scheme. According to the above method, after reducing the output of the energy stations in the vicinity by 1363MW (including 164MW reduction at collection station 1, 132MW reduction at collection station 2, 67MW reduction at collection station 3, and 1000MW reduction at collection station 4), the maximum transient overvoltage of the station is 1.30pu, reaching the critical value. In other words, on the basis of the configuration of distributed phase-converters at the other three stations, the addition of 4 50MVar distributed phase-converters at collection station 4 can increase the output of renewable energy in the vicinity by 1363MW. Similarly, the marginal power generation improvement capacity of the phase regulator in other scenarios is calculated, and then the Shapley value of the distributed phase regulator at different sites for the new energy improvement capacity is calculated according to the above-mentioned phase regulator configuration power generation improvement contribution calculation formula. At the same time, the contribution sharing coefficient of the distributed phase regulator at different sites to the improvement of the nearby power generation capacity (phase regulator configuration power generation improvement contribution coefficient) can be calculated. Through the phase regulator configuration power generation improvement contribution coefficient, the distributed phase regulator contribution sharing calculation result based on the marginal power generation improvement capacity can be calculated, as shown in Table 1.

[0110] Table 1 The contribution value of the phase shifter configuration of the phase shifter in the new energy station to the power generation improvement and the corresponding contribution coefficient

[0111]

[0112] As can be seen from Table 1, the contribution coefficient of the average power generation increase of the distributed phase condenser at the collection station 3 is low, which is lower than the preset contribution coefficient threshold of 0.05. Therefore, the existing distributed phase condenser configuration scheme can be adjusted, and one distributed phase condenser can be added to the collection station 2 near the new energy station, and one distributed phase condenser can be reduced at the collection station 3. The distributed phase condenser unit average revenue sharing coefficient under the existing distributed phase condenser configuration scheme can be recalculated. Through calculation, the contribution coefficient of the average power generation increase of the distributed phase condenser at the collection station 3 can be increased to 0.06, which meets expectations. In addition, the transient performance of the DC near-zone can be improved by optimizing the new energy and DC control parameters, ensuring the technical feasibility of the distributed phase condenser configuration scheme, and making the distributed phase condenser configuration effect better.

[0113] It should be noted that although the steps in the above flowchart are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders.

[0114] In one embodiment, Figure 5 As shown, a new energy station phase regulator optimization configuration system is provided, and the system includes:

[0115] The initial scheme acquisition module 1 is used to obtain the initial configuration scheme of the distributed phase regulators of the nearby new energy station, and obtain the corresponding phase regulator grid-connected combination set according to the initial configuration scheme of the distributed phase regulators;

[0116] A simulation scenario generating module 2, for generating a corresponding near-area power system simulation scenario according to each phase regulator grid-connected combination in the phase regulator grid-connected combination set;

[0117] The transient overvoltage calculation module 3 is used to calculate the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario according to the preset electromechanical transient simulation tool;

[0118] The boost capacity calculation module 4 is used to calculate the boost capacity of the off-grid phase shifter in the vicinity of the renewable energy power generation corresponding to the simulation scenario of the near-region power system according to the transient overvoltage value of each renewable energy grid connection point;

[0119] The improvement contribution analysis module 5 is used to obtain the power generation improvement contribution coefficient of the phase-shifting configuration of each new energy station according to the near-area new energy power generation improvement capacity of the off-grid phase-shifting in each near-area power system simulation scenario;

[0120] The optimal solution generation module 6 is used to iteratively optimize the initial configuration of the distributed phase regulators of the nearby new energy stations according to the power generation improvement contribution coefficient of the phase regulator configuration of each new energy station, so as to obtain the optimal distributed phase regulator configuration solution.

[0121] In one embodiment, a system for optimizing configuration of phase regulators in a new energy station is provided, wherein the transient overvoltage calculation module comprises:

[0122] A fault transient overvoltage value analysis module is used to perform simulation calculations of various preset fault types on each nearby power system simulation scenario according to the preset electromechanical transient simulation tool to obtain corresponding transient overvoltage values ​​of the fault type; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failure after lockout fault;

[0123] The grid connection point transient overvoltage value acquisition module is used to obtain the maximum transient overvoltage value of all fault type transient overvoltage values ​​in each nearby power system simulation scenario, and use the maximum transient overvoltage value as the corresponding new energy grid connection point transient overvoltage value.

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

[0125] A safe operation detection module is used to determine whether the transient overvoltage value of each renewable energy grid connection point meets the preset power system safe operation condition; the preset power system safe operation condition is that the transient overvoltage value of the renewable energy grid connection point is lower than the preset transient overvoltage threshold;

[0126] The first boosting capacity evaluation module is used to set the boosting capacity of the corresponding off-grid phase-shifting phase near the renewable energy power generation to zero if the transient overvoltage value of the renewable energy grid connection point meets the preset power system safe operation condition;

[0127] The second capacity enhancement evaluation module is used to reduce the output of the nearby new energy station to meet the preset power system safety operation conditions according to the preset station output reduction principle if the transient overvoltage value of the new energy grid-connected point does not meet the preset power system safety operation conditions, and obtain the corresponding off-grid phase-shifting phase near-area new energy power generation enhancement capacity according to the corresponding total output reduction value of the nearby new energy station.

[0128] In one embodiment, a system for optimizing the configuration of phase regulators in a new energy station is provided, wherein the preset station output reduction principles include:

[0129] When it is necessary to limit the output of new energy stations, priority should be given to replacing existing conventional units in the vicinity or adding small-capacity conventional units in the far end;

[0130] When it is necessary to limit the output of nearby renewable energy stations, the output of the renewable energy station where the off-grid phase-shifting machine is located shall be reduced first. When the output of the corresponding renewable energy station drops to zero and still fails to meet the preset safe operation conditions of the power system, the output of other renewable energy stations shall be reduced according to the preset phase-shifting machine configuration capacity ratio.

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

[0132] The output reduction optimization module is used to optimize and adjust the output reduction of the nearby new energy stations that meet the preset power system safe operation conditions through dichotomy.

[0133] In one embodiment, a new energy station phase condenser optimization configuration system is provided, and the improvement contribution analysis module includes:

[0134] The contribution value calculation module is used to calculate the contribution value of the power generation capacity improvement of the phase-shifting configuration of each renewable energy station based on the Shapley value method according to the off-grid phase-shifting near-region renewable energy power generation improvement capacity of each near-region power system simulation scenario;

[0135] The contribution coefficient calculation module is used to calculate the corresponding phase-shifting configuration power generation improvement contribution coefficient according to the contribution value of the phase-shifting configuration power generation improvement of each new energy station; the phase-shifting configuration power generation improvement contribution coefficient is expressed as:

[0136]

[0137] In the formula,

[0138]

[0139] Among them, x i is the contribution value of the phase-shifting configuration of the i-th renewable energy station to improve the power generation capacity; c(V∪{i})-c(V) represents the improvement of the near-region renewable energy power generation capacity of the off-grid phase-shifting of the i-th renewable energy station into the alliance V; P(V) is the probability of the alliance V appearing; η i It represents the contribution coefficient of power generation improvement of the phase-shifting configuration of the i-th renewable energy station.

[0140] In one embodiment, a new energy station phase condenser optimization configuration system is provided, and the optimal solution generation module includes:

[0141] The optimal condition detection module is used to determine whether the preset optimal configuration condition is met according to the power generation improvement contribution coefficient of the phase condenser configuration of all new energy stations; the preset optimal configuration condition is that the power generation improvement contribution coefficient of the phase condenser configuration of all new energy stations reaches the preset contribution coefficient threshold;

[0142] A first optimal solution generating module, configured to use the initial configuration solution of the distributed phase condenser as the optimal distributed phase condenser configuration solution if a preset optimal configuration condition is met;

[0143] The second optimal solution generation module is used to obtain the first new energy station corresponding to the minimum phase-shifting configuration power generation improvement contribution coefficient and the second new energy station that is physically closest to the first new energy station if the preset optimal configuration conditions are not met, and while reducing the number of phase-shifting units at the first new energy station, increase the number of phase-shifting units at the second new energy station to obtain the corresponding updated phase-shifting configuration solution, and perform phase-shifting configuration power generation improvement contribution analysis on the updated phase-shifting configuration solution, until the phase-shifting configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, and obtain the optimal distributed phase-shifting configuration solution.

[0144] For the specific limitations of the new energy station phase regulator optimization configuration system, please refer to the limitations of the new energy station phase regulator optimization configuration method above, and the corresponding technical effects can also be obtained equivalently, which will not be repeated here. Each module in the above-mentioned new energy station phase regulator optimization configuration system can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0145] Figure 6 FIG. 1 shows an internal structure diagram of a computer device in an embodiment, and the computer device may specifically be a terminal or a server. Figure 6 As shown, the computer device includes a processor, a memory, a network interface, a display, a camera and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. 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 an external terminal through a network connection. When the computer program is executed by the processor, a method for optimizing the configuration of the phase shifter of a new energy station is implemented. 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 covered on the display screen, or a button, trackball or touchpad set on the housing of the computer device, or an external keyboard, touchpad or mouse.

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

[0147] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the steps of the above method are implemented when the processor executes the computer program.

[0148] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0149] In summary, an embodiment of the present invention provides a method and system for optimizing the configuration of distributed phase-shifting cameras at new energy stations based on improving marginal power generation capacity. The method for optimizing the configuration of phase-shifting cameras at new energy stations realizes obtaining an initial configuration plan of distributed phase-shifting cameras at near-region new energy stations, obtaining a corresponding phase-shifting camera grid-connected combination set according to the initial configuration plan of distributed phase-shifting cameras, and then generating a corresponding near-region power system simulation scenario according to each phase-shifting camera grid-connected combination in the phase-shifting camera grid-connected combination set. After calculating the transient overvoltage value of the new energy grid-connected point of each near-region power system simulation scenario according to a preset electromechanical transient simulation tool, the near-region new energy power generation improvement capacity of the off-grid phase-shifting cameras corresponding to the near-region power system simulation scenario is calculated according to the transient overvoltage value of each new energy grid-connected point, and ... The off-grid phase-shifting condenser in the near-area new energy power generation improvement capacity of the system simulation scenario obtains the contribution coefficient of the phase-shifting configuration power generation improvement of each new energy station, and according to the contribution coefficient of the phase-shifting configuration power generation improvement of each new energy station, the initial configuration of the distributed phase-shifting condenser in the near-area new energy station is iteratively optimized to obtain the technical solution of the optimal distributed phase-shifting condenser configuration scheme. This method optimizes the distributed phase-shifting condenser configuration of the DC near-area new energy station based on the marginal power generation capacity improvement contribution level of the new energy station. While ensuring the safe and stable operation of the power grid, it can also ensure the maximum power generation capacity of each new energy station, effectively improve the configuration effect of the distributed phase-shifting condenser, and then provide reliable technical guarantee for the high power supply capacity output of the new power system, which has high practical value.

[0150] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0151] The above-mentioned embodiments only express several preferred implementation modes of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in the technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention, and these improvements and substitutions should also be regarded as the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be based on the protection scope of the claims.

Claims

1. A method for optimizing the configuration of phase-shifting devices in a new energy station, characterized in that: The method comprises the following steps: Obtaining an initial configuration plan of distributed phase regulators of nearby new energy stations, and obtaining a corresponding grid-connected combination set of phase regulators according to the initial configuration plan of distributed phase regulators; According to each phase regulator grid-connected combination in the phase regulator grid-connected combination set, a corresponding near-area power system simulation scenario is generated; According to the preset electromechanical transient simulation tool, calculate the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario; According to the transient overvoltage value of each renewable energy grid connection point, calculate the near-region renewable energy power generation improvement capacity of the off-grid phase shifter corresponding to the near-region power system simulation scenario; According to the near-region renewable energy power generation enhancement capability of off-grid phase-shifters in each near-region power system simulation scenario, the contribution coefficient of phase-shifter configuration power generation enhancement of each renewable energy station is obtained; According to the contribution coefficient of power generation improvement of the phase condenser configuration of each renewable energy station, the initial configuration of the distributed phase condensers in the nearby renewable energy stations is iteratively optimized to obtain the optimal distributed phase condenser configuration plan.

2. The method for optimizing the configuration of phase-shifting devices in a new energy station according to claim 1, characterized in that: The step of calculating the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario according to the preset electromechanical transient simulation tool includes: According to the preset electromechanical transient simulation tool, simulation calculations of various preset fault types are performed on each nearby power system simulation scenario to obtain corresponding transient overvoltage values ​​of the fault types; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failure after lockout fault; The maximum transient overvoltage value of all fault type transient overvoltage values ​​of each nearby power system simulation scenario is obtained, and the maximum transient overvoltage value is used as the corresponding transient overvoltage value of the new energy grid connection point.

3. The method for optimizing the configuration of phase-shifting devices in a new energy station according to claim 1, characterized in that: The step of calculating the near-region renewable energy power generation enhancement capability of the off-grid phase regulator corresponding to the near-region power system simulation scenario according to the transient overvoltage value of each renewable energy grid connection point includes: Determine whether the transient overvoltage value of each renewable energy grid connection point meets the preset power system safety operation condition; the preset power system safety operation condition is that the transient overvoltage value of the renewable energy grid connection point is lower than the preset transient overvoltage threshold; If it is satisfied, the corresponding off-grid phase-shifting phase near-region renewable energy power generation enhancement capacity is set to zero; If it is not met, the output of the nearby new energy station will be reduced according to the preset station output reduction principle to meet the preset power system safe operation conditions, and the corresponding off-grid phase-shifting phase nearby new energy power generation enhancement capacity will be obtained according to the corresponding total output reduction value of the nearby new energy station.

4. The method for optimizing configuration of phase-shifting devices in a new energy station according to claim 3, characterized in that: The preset station output reduction principles include: When it is necessary to limit the output of new energy stations, priority should be given to replacing existing conventional units in the vicinity or adding small-capacity conventional units in the far end; When it is necessary to limit the output of nearby renewable energy stations, the output of the renewable energy station where the off-grid phase-shifting machine is located shall be reduced first. When the output of the corresponding renewable energy station drops to zero and still fails to meet the preset safe operation conditions of the power system, the output of other renewable energy stations shall be reduced according to the preset phase-shifting machine configuration capacity ratio.

5. The method for optimizing the configuration of phase-shifting devices in a new energy station according to claim 3, characterized in that: The step of reducing the output of the nearby new energy station to meet the preset power system safe operation conditions includes: Through the dichotomy method, the output reduction of nearby renewable energy stations that meet the preset safe operation conditions of the power system is optimized and adjusted.

6. The method for optimizing the configuration of phase-shifting devices in a new energy station according to claim 1, characterized in that: The step of obtaining the power generation enhancement contribution coefficient of the phase regulator configuration of each new energy station according to the near-area renewable energy power generation enhancement capability of the off-grid phase regulator of each near-area power system simulation scenario includes: According to the near-region renewable energy power generation improvement capacity of off-grid phase-shifting devices in each near-region power system simulation scenario, the contribution value of the phase-shifting device configuration power generation capacity improvement of each renewable energy station is calculated based on the Shapley value method; According to the contribution value of the phase-converter configuration power generation capacity improvement of each new energy station, the corresponding phase-converter configuration power generation improvement contribution coefficient is calculated; the phase-converter configuration power generation improvement contribution coefficient is expressed as: In the formula, Among them, x i is the contribution value of the phase-shifting configuration of the i-th renewable energy station to improve the power generation capacity; c(V∪{i})-c(V) represents the improvement of the near-region renewable energy power generation capacity of the off-grid phase-shifting of the i-th renewable energy station into the alliance V; P(V) is the probability of the alliance V appearing; η i It represents the contribution coefficient of power generation improvement of the phase-shifting configuration of the i-th renewable energy station.

7. The method for optimizing the configuration of phase-shifting devices in a new energy station according to claim 1, characterized in that: The steps of iteratively optimizing the initial configuration of the distributed phase regulators of the nearby new energy stations according to the power generation improvement contribution coefficient of the phase regulators of each new energy station to obtain the optimal distributed phase regulator configuration scheme include: Judging whether a preset optimal configuration condition is met according to the power generation improvement contribution coefficient of the phase condenser configuration of all new energy stations; the preset optimal configuration condition is that the power generation improvement contribution coefficient of the phase condenser configuration of all new energy stations reaches a preset contribution coefficient threshold; If the conditions are met, the initial configuration scheme of the distributed phase condenser is used as the optimal configuration scheme of the distributed phase condenser; If it is not satisfied, then obtain the first new energy station corresponding to the minimum phase-modulator configuration power generation improvement contribution coefficient, and the second new energy station that is physically closest to the first new energy station, and while reducing the number of phase-modulators at the first new energy station, increase the number of phase-modulators at the second new energy station to obtain the corresponding updated phase-modulator configuration plan, and perform phase-modulator configuration power generation improvement contribution analysis on the updated phase-modulator configuration plan, until the phase-modulator configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, and obtain the optimal distributed phase-modulator configuration plan.

8. A phase-shifting optimization configuration system for a new energy station, characterized in that: The system comprises: An initial scheme acquisition module is used to acquire an initial configuration scheme of distributed phase regulators of nearby new energy stations, and obtain a corresponding grid-connected combination set of phase regulators according to the initial configuration scheme of distributed phase regulators; A simulation scenario generation module, used for generating a corresponding near-area power system simulation scenario according to each phase regulator grid-connected combination in the phase regulator grid-connected combination set; The transient overvoltage calculation module is used to calculate the transient overvoltage value of the new energy grid connection point of each nearby power system simulation scenario according to the preset electromechanical transient simulation tool; The boost capacity calculation module is used to calculate the boost capacity of the off-grid phase-shifting machine in the vicinity of the power system simulation scenario according to the transient overvoltage value of each renewable energy grid connection point; The improvement contribution analysis module is used to obtain the power generation improvement contribution coefficient of the phase-shifting configuration of each renewable energy station according to the near-region renewable energy power generation improvement capacity of the off-grid phase-shifting in each near-region power system simulation scenario; The optimal solution generation module is used to iteratively optimize the initial configuration of distributed phase regulators in nearby renewable energy stations according to the contribution coefficient of power generation improvement of the phase regulator configuration of each renewable energy station, and obtain the optimal distributed phase regulator configuration solution.

9. The phase-shifting optimization configuration system for new energy stations according to claim 8, characterized in that: The transient overvoltage calculation module comprises: A fault transient overvoltage value analysis module is used to perform simulation calculations of various preset fault types on each nearby power system simulation scenario according to the preset electromechanical transient simulation tool to obtain corresponding transient overvoltage values ​​of the fault type; the preset fault types include AC side short circuit fault, DC commutation failure fault, bipolar lockout fault and DC multiple commutation failure after lockout fault; The grid connection point transient overvoltage value acquisition module is used to obtain the maximum transient overvoltage value of all fault type transient overvoltage values ​​in each nearby power system simulation scenario, and use the maximum transient overvoltage value as the corresponding new energy grid connection point transient overvoltage value.

10. The phase-shifting optimization configuration system for new energy stations according to claim 8, characterized in that: The lifting capacity calculation module includes: A safe operation detection module is used to determine whether the transient overvoltage value of each renewable energy grid connection point meets the preset power system safe operation condition; the preset power system safe operation condition is that the transient overvoltage value of the renewable energy grid connection point is lower than the preset transient overvoltage threshold; The first boosting capacity evaluation module is used to set the boosting capacity of the corresponding off-grid phase-shifting phase near the renewable energy power generation to zero if the transient overvoltage value of the renewable energy grid connection point meets the preset power system safe operation condition; The second capacity enhancement evaluation module is used to reduce the output of the nearby new energy station to meet the preset power system safety operation conditions according to the preset station output reduction principle if the transient overvoltage value of the new energy grid-connected point does not meet the preset power system safety operation conditions, and obtain the corresponding off-grid phase-shifting phase near-region new energy power generation enhancement capacity according to the corresponding total output reduction value of the nearby new energy station.

11. The phase-shifting optimization configuration system for new energy stations according to claim 10, characterized in that: The preset station output reduction principles include: When it is necessary to limit the output of new energy stations, priority should be given to replacing existing conventional units in the vicinity or adding small-capacity conventional units in the far end; When it is necessary to limit the output of nearby renewable energy stations, the output of the renewable energy station where the off-grid phase-shifting machine is located shall be reduced first. When the output of the corresponding renewable energy station drops to zero and still fails to meet the preset safe operation conditions of the power system, the output of other renewable energy stations shall be reduced according to the preset phase-shifting machine configuration capacity ratio.

12. The phase-shifting optimization configuration system for new energy stations according to claim 10, characterized in that: The second enhancement capability assessment module comprises: The output reduction optimization module is used to optimize and adjust the output reduction of the nearby new energy stations that meet the preset power system safe operation conditions through dichotomy.

13. The phase-shifting optimization configuration system for new energy stations according to claim 8, characterized in that: The improvement contribution analysis module includes: The contribution value calculation module is used to calculate the contribution value of the power generation capacity improvement of the phase-shifting configuration of each renewable energy station based on the Shapley value method according to the off-grid phase-shifting near-region renewable energy power generation improvement capacity of each near-region power system simulation scenario; The contribution coefficient calculation module is used to calculate the corresponding phase-shifting configuration power generation improvement contribution coefficient according to the contribution value of the phase-shifting configuration power generation improvement of each new energy station; the phase-shifting configuration power generation improvement contribution coefficient is expressed as: In the formula, Among them, x i is the contribution value of the phase-shifting configuration of the i-th renewable energy station to improve the power generation capacity; c(V∪{i})-c(V) represents the improvement of the near-region renewable energy power generation capacity of the off-grid phase-shifting of the i-th renewable energy station into the alliance V; P(V) is the probability of the alliance V appearing; η i It represents the contribution coefficient of power generation improvement of the phase-shifting configuration of the i-th renewable energy station.

14. The phase-shifting optimization configuration system for new energy stations according to 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 condition is met according to the power generation improvement contribution coefficient of the phase condenser configuration of all new energy stations; the preset optimal configuration condition is that the power generation improvement contribution coefficient of the phase condenser configuration of all new energy stations reaches the preset contribution coefficient threshold; A first optimal solution generating module, configured to use the initial configuration solution of the distributed phase condenser as the optimal distributed phase condenser configuration solution if a preset optimal configuration condition is met; The second optimal solution generation module is used to obtain the first new energy station corresponding to the minimum phase-shifting configuration power generation improvement contribution coefficient and the second new energy station that is physically closest to the first new energy station if the preset optimal configuration conditions are not met, and while reducing the number of phase-shifting units at the first new energy station, increase the number of phase-shifting units at the second new energy station to obtain the corresponding updated phase-shifting configuration solution, and perform phase-shifting configuration power generation improvement contribution analysis on the updated phase-shifting configuration solution, until the phase-shifting configuration power generation improvement contribution coefficients of all new energy stations reach the preset contribution coefficient threshold, and obtain the optimal distributed phase-shifting configuration solution.

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, the steps of the method according to any one of claims 1 to 7 are implemented.

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

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