Multi-station new energy unit low voltage ride through parameter optimization method and system considering transient voltage stability

Abstract

The invention relates to the technical field of new energy parameter optimization, and relates to a method and a system for optimizing low-voltage ride-through parameters of a multi-station new energy unit by considering transient voltage stability. Comprising the following steps: building a researched power grid model; adjusting the starting number and output of the conventional power supply units and the new energy units of the power grid model to obtain operation modes in different states with the new energy permeability smaller than or equal to 70%; calculating the new energy multi-station short-circuit ratio under the operation modes in different states in which the new energy permeability is less than or equal to 70%; fault simulation calculation is carried out near the bus nodes with the new energy multi-station short-circuit ratio smaller than a set threshold value, and a bus voltage curve is output; and judging whether transient voltage stability is met or not, if not, optimizing the low-voltage ride-through parameters of the near-field new energy unit for the weak nodes which do not meet the transient voltage stability, and applying the optimized low-voltage ride-through parameters of the new energy unit to fault simulation. According to the invention, the transient voltage stability of the power grid during the fault period is obviously enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy parameter optimization, and particularly relates to an optimization method and system for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability. Background Art

[0002] With the continuous increase in the global demand for clean energy, the proportion of new energy installed capacity in the power system is constantly increasing. When the voltage drops due to a grid fault, new energy units need to have the ability of low voltage ride-through to ensure that they do not trip off the grid and provide necessary reactive power support to the grid. However, compared with traditional synchronous generators, their dynamic reactive power support ability is relatively weak. When the grid suffers a large disturbance, new energy may not be able to quickly provide enough reactive power, resulting in a decline in the transient voltage stability of the system. However, the existing low voltage ride-through parameter settings of new energy units often lack a comprehensive consideration of the transient voltage stability of the grid. As a result, when a grid fault occurs, they may not be able to effectively play a supporting role to maintain the system voltage stability, and may even trigger cascading failures, affecting the safe and reliable operation of the power system.

[0003] At present, the research on new energy parameter optimization methods considering transient voltage stability is relatively scarce. Some existing parameter optimization methods often only consider a single factor, such as the parameter optimization of a single station. They cannot comprehensively consider multiple key indicators of transient voltage stability, such as network structure and grid voltage changes, resulting in difficulty in effectively improving the transient voltage stability of the system in practical applications. Therefore, there is an urgent need for a new energy parameter optimization method that comprehensively considers various factors of transient voltage stability to improve the transient voltage stability after new energy is connected to the power system. Summary of the Invention

[0004] In view of the problems in the prior art, the present invention provides an optimization method and system for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability. The specific technical solutions are as follows: An optimization method for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability, comprising the following steps: Step S1, build a power grid model to be studied, where the power grid model includes a network topology of several conventional power units, several new energy units, loads, lines and transformers; Step S2, adjust the number of operating units and the output power of the conventional power units and new energy units in the power grid model to obtain operating modes in different states where the new energy penetration rate is less than or equal to 70%; Step S3, calculate the short circuit ratio of multi-station new energy in all operating modes in different states where the new energy penetration rate is less than or equal to 70%; Step S4, carry out fault simulation calculations near the bus nodes where the short circuit ratio of multi-station new energy is less than a set threshold, and output the bus voltage curve; Step S5: Determine whether the transient voltage stability is satisfied according to the calculated bus voltage curve. If it is satisfied, end the calculation; otherwise, proceed to Step S6. Step S6: For the weak nodes that do not satisfy the transient voltage stability, optimize the low voltage ride-through parameters of the nearby new energy units, then jump to Step S4 and use the optimized low voltage ride-through parameters of the new energy units for fault simulation.

[0005] Preferably, in Step S2, the new energy penetration rate = new energy output / (conventional energy output + new energy output).

[0006] Preferably, the calculation method of the short-circuit ratio of multiple new energy stations in Step S3 is as follows: ; In the formula: is the short-circuit ratio of multiple new energy stations / generation units ; is the short-circuit capacity of the low-voltage side of the step-up transformer of the new energy station / generation unit ; is the output of the new energy station / generation unit ; is the output of the new energy station / generation unit ; is the mutual impedance of the th row and th column of the equivalent nodal impedance matrix viewed from the low-voltage side of the step-up transformer of the new energy station / generation unit ; is the self-impedance of the th row and th column of the equivalent nodal impedance matrix viewed from the low-voltage side of the step-up transformer of the new energy station / generation unit . n is the number of new energy stations.

[0007] Preferably, the faults in Step S4 include single-circuit line short-circuit tripping faults and double-circuit line short-circuit tripping faults.

[0008] Preferably, the criterion for judging the satisfaction of transient voltage stability in Step S5 is: During the transient process after a large disturbance in the power system, if the load bus voltage recovers above 0.80 p.u. within 10 s and, during the long-term process after a large disturbance in the power system, the load bus voltage remains or recovers above 0.90 p.u., then the transient voltage is stable.

[0009] Preferably, the optimization of the low voltage ride-through parameters of the nearby new energy units in Step S6 is specifically as follows: ; ; Wherein, is the dynamic reactive current proportion coefficient of the unit during the low voltage ride-through process before optimization for the new energy power station / generation unit ; is the dynamic reactive current proportion coefficient of the unit during the low voltage ride-through process after optimization; is the correction amount of the dynamic reactive current proportion coefficient of the unit during the low voltage ride-through process for the new energy power station / generation unit ; is the sending node voltage recovery index for the new energy power station / generation unit ; is the short circuit ratio of multiple new energy power stations for the new energy power station / generation unit ;

[0010] Preferably, the calculation method of the sending node voltage recovery index for the new energy power station / generation unit is as follows: ; Wherein, is the final stable value of the voltage after disturbance for the new energy power station / generation unit ; is the minimum value of the voltage during the disturbance process for the new energy power station / generation unit ; is the initial value of the voltage for the new energy power station / generation unit ;

[0011] An optimization system for the low voltage ride-through parameters of multiple new energy power station units considering transient voltage stability, applying the method described above, includes: A modeling module for building the power grid model under study, the power grid model including the network topologies of several conventional power units, several new energy units, loads, lines and transformers; A state adjustment module for adjusting the number of started units and the output of the conventional power units and new energy units in the power grid model to obtain the operation modes under different states where the new energy penetration rate is less than or equal to 70%; A short circuit ratio calculation module for calculating the short circuit ratio of multiple new energy power stations under the operation modes with different new energy penetration rates less than or equal to 70%; A fault simulation module for carrying out fault simulation calculations near the bus nodes where the short circuit ratio of multiple new energy power stations is less than the set threshold, and outputting the bus voltage curve; A judgment module for judging whether the transient voltage stability is satisfied according to the calculated bus voltage curve. If so, the calculation is ended; if not, it jumps to the parameter optimization module; The parameter optimization module is used to optimize the low-voltage ride-through parameters of new energy units in the vicinity for weak nodes that do not meet the transient voltage stability, and use the optimized low-voltage ride-through parameters of new energy units for the fault simulation of the fault simulation module.

[0012] A computer-readable storage medium, the computer-readable storage medium includes a stored program, wherein, when the program runs, it controls the device where the computer-readable storage medium is located to execute the optimization method of the low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability.

[0013] A processor, the processor is used to run a program, wherein, when the program runs, it executes the optimization method of the low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: By optimizing the low-voltage ride-through parameters of new energy in the short-circuit ratio area of multi-station new energy, the present invention significantly enhances the transient voltage stability of the power grid during faults. The simulation results show that the optimized low-voltage ride-through parameters of new energy can effectively improve the rapid response ability of new energy units to voltage dips in the power grid. The present invention is of great significance for improving the stability and reliability of power grids with high proportions of new energy access, and provides technical support for building a stronger power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0016] Figure 1 It is a flowchart of the method of the present invention.

[0017] Figure 2 It is a schematic diagram of the calculation principle of the short-circuit ratio of multi-station new energy.

[0018] Figure 3 It is a power grid model diagram established in Embodiment 1.

[0019] Figure 4 It is a simulation result diagram of the bus node voltage of the embodiment.

[0020] Figure 5 It is a schematic diagram of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] It should be understood that when used in this specification, the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0023] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0024] It should be further understood that the term " / and" used in the specification of the present invention refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0025] Embodiment 1: As Figure 1 shown, this embodiment provides an optimization method for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability, including the following steps: Step S1, build the power grid model to be studied, and the power grid model includes a number of conventional power units, a number of new energy units, loads, line and transformer network topologies.

[0026] Step S2, adjust the number of started units and output of the conventional power units and new energy units in the power grid model to obtain the operation modes in different states where the new energy penetration rate is less than or equal to 70%. Among them, the new energy penetration rate = new energy output / (conventional energy output + new energy output). By adjusting the startup and output of conventional units and new energy units, operation modes with different new energy penetration rates can be obtained.

[0027] Step S3, calculate the multi-regional short circuit ratio (MRSCR) of new energy in all operation modes in different states where the new energy penetration rate is less than or equal to 70%. As Figure 2 shown, the calculation method of the multi-regional short circuit ratio of new energy is: ; In the formula: is the short-circuit ratio of multiple new energy power stations / generation units ; is the short-circuit capacity of the low-voltage side of the step-up transformer of the new energy power station / generation unit ; is the output of the new energy power station / generation unit ; is the output of the new energy power station / generation unit ; is the equivalent nodal impedance matrix seen from the low-voltage side of the step-up transformer of the new energy power station / generation unit ; is the mutual impedance of the -th row and -th column of the matrix, reflecting the coupling impedance between the power station and the power station , and is used to describe the electrical interaction between the power station and the power station ; is the self-impedance of the -th row and -th column of the equivalent nodal impedance matrix seen from the low-voltage side of the step-up transformer of the new energy power station / generation unit, and is used to describe the electrical characteristics of the power station itself; n is the number of new energy power stations;

[0028] Step S4: Conduct fault simulation calculations near the bus node where the short-circuit ratio of the multiple new energy power stations is less than the set threshold, and output the bus voltage curve. The faults include single-circuit line short-circuit tripping faults and double-circuit line short-circuit tripping faults. In this embodiment, the set threshold is 5. Step S5: Judge whether the transient voltage stability is satisfied according to the calculated bus voltage curve. If the transient voltage stability is judged according to the guideline GB / T40581-2021, the calculation is ended; otherwise, go to step S6. The criterion for judging the satisfaction of the transient voltage stability is: During the transient process after a large disturbance in the power system, if the load bus voltage recovers above 0.80 p.u. within 10 s, and during the long-term process after a large disturbance in the power system, the load bus voltage remains or recovers above 0.90 p.u., then the transient voltage is stable.

[0029] Step S6: For the weak nodes that do not satisfy the transient voltage stability, optimize the low-voltage ride-through parameters of the nearby new energy units, and jump to step S4, and use the optimized low-voltage ride-through parameters of the new energy units for the fault simulation. The specific steps for optimizing the low-voltage ride-through parameters of the nearby new energy units are as follows: ; ; Among them, is the new energy power station / generation unit The proportional coefficient of the dynamic reactive current of the unit during the low voltage ride-through process before optimization, is the proportional coefficient of the dynamic reactive current of the unit during the low voltage ride-through process after optimization; is the new energy power station / generation unit The correction amount of the proportional coefficient of the dynamic reactive current of the unit during the low voltage ride-through process; is the new energy power station / generation unit The voltage recovery index of the sending node, is the new energy power station / generation unit The short-circuit ratio of multiple new energy power stations.

[0030] The new energy power station / generation unit The voltage recovery index of the sending node The calculation method is as follows: ; Among them, is the new energy power station / generation unit The final stable value of the voltage after the disturbance, is the new energy power station / generation unit The lowest value of the voltage during the disturbance process, is the new energy power station / generation unit The initial value of the voltage.

[0031] The proportional coefficient of the dynamic reactive current of the unit during the low voltage ride-through process The relationship with the grid connection point voltage is as follows: ; In the formula, is the new energy power station / generation unit The increment of the injected dynamic reactive current, is the new energy power station / generation unit The grid connection point voltage, is the new energy power station / generation unit The rated current.

[0032] According to the formula, by Adjustment can affect the reactive current at the grid connection point of the power station, that is, affect the reactive power at the grid connection point of the new energy power station, and further affect the voltage at the grid connection point and the system voltage.

[0033] Such as Figure 3 The shown power grid model, the low voltage ride-through parameter optimization of multiple new energy units is carried out according to the following steps: a. Establish an analysis model for the power grid in a certain area. The model includes models of conventional power source hydropower station 1, wind farm 1, wind farm 2, wind farm 3, wind farm 4, wind farm 5, photovoltaic power station 1, energy storage model 1, area substations 1-4, lines, and loads, etc.

[0034] b. Adjust the startup and output of conventional power sources and new energy sources in the area to obtain calculation data under different penetration rates. The initial new energy penetration rate is 30%. Calculate the short-circuit ratios of new energy with penetration rates of 40%, 50%, 60%, and 70%.

[0035] c. When the new energy penetration rate is 70%, screen the nodes of substation 2 with a short-circuit ratio less than 5. The node short-circuit ratio is 4.01.

[0036] d. Conduct a fault simulation for the screened nodes to obtain the faults of transient voltage instability: the three-phase permanent fault tripping of the double-circuit line from substation 1 to substation 2, and the voltage instability of the bus of substation 2.

[0037] e. For the unstable faults, adopt Adjust the values of wind farm 1, wind farm 2, wind farm 3, wind farm 4, wind farm 5, photovoltaic power station 1, and energy storage 1.

[0038] f. Calculate whether the transient voltage of the bus of substation 2 is unstable when the three-phase permanent fault tripping of the double-circuit line from substation 1 to substation 2 occurs. If the transient voltage is unstable, repeat step e. If the transient voltage is stable, end.

[0039] g. Obtain the adjusted values of wind farm 1, wind farm 2, wind farm 3, wind farm 4, wind farm 5, photovoltaic power station 1, and energy storage 1.

[0040] The node voltage curves of the bus of substation 2 before and after adjusting the parameters are as Figure 4 shown. Among them, curve1 is the node voltage curve of the bus of substation 2 before adjusting the parameters, and curve2 is the node voltage curve of the bus of substation 2 after adjusting the parameters. Before adjusting the parameters, the load bus voltage value did not recover above 0.90 p.u., and the transient voltage was unstable. After adjusting the parameters, the load bus voltage recovered above 0.90 p.u., and the transient voltage was stable.

[0041] Example 2: As Figure 5 shown, based on the same inventive concept as in Example 1, this example provides an optimization system for the low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability. Applying the method described above, it includes: A modeling module for building the power grid model to be studied. The power grid model includes several conventional power source units, several new energy units, loads, line, and transformer network topologies. A status adjustment module, which is used to adjust the number of operating units and the output power of conventional power units and new energy units in the power grid model, so as to obtain the operation modes in different states where the new energy penetration rate is less than or equal to 70%; A short-circuit ratio calculation module, which is used to calculate the short-circuit ratio of multiple new energy stations under the operation modes in different states where the new energy penetration rate is less than or equal to 70%; A fault simulation module, which is used to carry out fault simulation calculations near the bus nodes where the short-circuit ratio of multiple new energy stations is less than the set threshold, and output the bus voltage curve; A judgment module, which judges whether the transient voltage stability is satisfied according to the calculated bus voltage curve. If so, the calculation is ended; if not, it jumps to the parameter optimization module; A parameter optimization module, which is used to carry out low-voltage ride-through parameter optimization for the new energy units in the vicinity of the weak nodes that do not meet the transient voltage stability, and use the optimized low-voltage ride-through parameters of the new energy units for the fault simulation of the fault simulation module.

[0042] Embodiment 3: Based on the same inventive concept as Embodiment 1, this embodiment provides a computer-readable storage medium, and the computer-readable storage medium includes a stored program. Wherein, when the program runs, it controls the device where the computer-readable storage medium is located to execute the optimization method for the low-voltage ride-through parameters of multiple new energy units considering transient voltage stability.

[0043] Embodiment 4: Based on the same inventive concept as Embodiment 1, this embodiment provides a processor, and the processor is used to run a program. Wherein, when the program runs, it executes the optimization method for the low-voltage ride-through parameters of multiple new energy units considering transient voltage stability.

[0044] Those of ordinary skill in the art can realize that the modules of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the components of each example have been generally described according to their functions in the above description. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0045] In the embodiments provided by the present invention, it should be understood that the division of modules is only a logical function division, and there may be other division methods in actual implementation. For example, multiple modules can be combined into one module, one module can be split into multiple modules, or some features can be ignored, etc.

[0046] In addition, each functional module in various embodiments of the present invention may be integrated into one processing module, may exist physically alone for each module, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0047] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, read-only memories (ROM), random access memories (RAM), mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0048] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of various embodiments of the present invention, and they should all be covered by the scope of the claims and the description of the present invention.

Claims

1. An optimization method for low-voltage ride-through parameters of new energy units in multiple power stations considering transient voltage stability, characterized in that, It includes the following steps: Step S1: Build the power grid model under study, where the power grid model includes several conventional power generation units, several new energy generation units, loads, lines, and transformer network topologies; Step S2: Adjust the number of started units and output levels of the conventional power generation units and new energy generation units in the power grid model to obtain the operation modes under different states where the new energy penetration rate is less than or equal to 70%; Step S3: Calculate the new energy multi-station short-circuit ratio for the operation modes under different states where the new energy penetration rate is less than or equal to 70%; Step S4: Conduct fault simulation calculations near the bus nodes where the new energy multi-station short-circuit ratio is less than the set threshold, and output the bus voltage curve; Step S5: Determine whether transient voltage stability is satisfied based on the calculated bus voltage curve. If so, end the calculation; if not, proceed to Step S6; Step S6: For the weak nodes that do not satisfy transient voltage stability, optimize the low voltage ride-through parameters of the nearby new energy generation units, and jump to Step S4 to use the optimized low voltage ride-through parameters of the new energy generation units for fault simulation; 2. The optimization method for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1, characterized in that, In Step S2, the new energy penetration rate = new energy output / (conventional energy output + new energy output); 3. The optimization method for low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1, characterized in that The calculation method of the new energy multi-station short-circuit ratio in Step S3 is as follows: ； Wherein: is the short - circuit ratio of the new - energy power station / generation unit ; is the short - circuit capacity at the low - voltage side of the step - up transformer of the new - energy power station / generation unit ; is the output of the new - energy power station / generation unit ; is the output of the new - energy power station / generation unit ; is the mutual impedance of the th row and th column of the equivalent nodal impedance matrix viewed from the low - voltage side of the step - up transformer of the new - energy power station / generation unit ; is the self - impedance of the th row and th column of the equivalent nodal impedance matrix viewed from the low - voltage side of the step - up transformer of the new - energy power station / generation unit; n is the number of new - energy power stations. ​ 4. The optimization method for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1, characterized in that The faults in Step S4 include single-circuit line short-circuit tripping faults and double-circuit line short-circuit tripping faults; 5. The optimization method for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1, characterized in that The criterion for determining that transient voltage stability is satisfied in Step S5 is as follows: During the transient process after a major disturbance in the power system, the load bus voltage recovers above 0.80 p.u. within 10 s, and during the long-term process after a major disturbance in the power system, the load bus voltage remains or recovers above 0.90 p.u., then the transient voltage is stable; 6. The optimization method for low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1, wherein The specific optimization of the low voltage ride-through parameters of the nearby new energy generation units in Step S6 is as follows: ； ； Among them, is the new energy station / generation unit The proportional coefficient of the dynamic reactive current of the unit during the low-voltage ride-through process before optimization, is the proportional coefficient of the dynamic reactive current of the unit during the low-voltage ride-through process after optimization; is the new energy station / generation unit The correction amount of the proportional coefficient of the dynamic reactive current of the unit during the low-voltage ride-through process; is the new energy station / generation unit The voltage recovery index of the sending node, is the new energy station / generation unit The short-circuit ratio of multiple new energy stations.

7. The optimization method for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 6, characterized in that, New energy power station / generation unit Outgoing node voltage recovery index The calculation method is as follows: ； wherein, is the final stable value of the post-disturbance voltage of the new energy power station / generation unit , is the minimum value of the voltage during the disturbance process of the new energy power station / generation unit , is the initial value of the voltage of the new energy power station / generation unit .

8. An optimization system for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability, characterized in that, Applying the method according to any one of claims 1 to 7 includes: A modeling module for building the power grid model under study, where the power grid model includes several conventional power generation units, several new energy generation units, loads, lines, and transformer network topologies; A state adjustment module for adjusting the number of started units and output levels of the conventional power generation units and new energy generation units in the power grid model to obtain the operation modes under different states where the new energy penetration rate is less than or equal to 70%; A short-circuit ratio calculation module for calculating the new energy multi-station short-circuit ratio for the operation modes under different states where the new energy penetration rate is less than or equal to 70%; A fault simulation module for conducting fault simulation calculations near the bus nodes where the new energy multi-station short-circuit ratio is less than the set threshold, and outputting the bus voltage curve; A judgment module for determining whether transient voltage stability is satisfied based on the calculated bus voltage curve. If so, end the calculation; if not, jump to the parameter optimization module; A parameter optimization module for optimizing the low voltage ride-through parameters of the nearby new energy generation units for the weak nodes that do not satisfy transient voltage stability, and using the optimized low voltage ride-through parameters of the new energy generation units for the fault simulation of the fault simulation module.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein when the program runs, it controls the device where the computer-readable storage medium is located to execute the optimization method for low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to any one of claims 1 to 7.

10. A processor, characterized in that, The processor is used to run a program, wherein when the program runs, it executes the optimization method for low-voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to any one of claims 1 to 7.

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