A method and system for optimizing low voltage ride-through parameters of multi-station renewable energy units considering transient voltage stability

Abstract

The present invention relates to the technical field of new energy parameter optimization, and relates to a method and system for optimizing low voltage ride-through parameters of multi-station new energy units taking into account transient voltage stability. The method comprises: building a studied power grid model; adjusting the number of conventional power units and new energy units in the power grid model and the output size, obtaining the operating mode under different conditions with a new energy penetration rate of less than or equal to 70%; calculating the short-circuit ratio of new energy multi-stations under the operating mode under different conditions with a new energy penetration rate of less than or equal to 70%; carrying out fault simulation calculations near bus nodes where the short-circuit ratio of new energy multi-stations is less than a set threshold, and outputting bus voltage curves; judging whether transient voltage stability is satisfied, and if not, optimizing the low voltage ride-through parameters of nearby new energy units for weak nodes that do not satisfy transient voltage stability, and using the optimized low voltage ride-through parameters of new energy units for fault simulation. The present invention significantly enhances the transient voltage stability of the power grid during a fault.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy parameter optimization, and in particular to a method and system for optimizing low voltage ride-through parameters of multi-station new energy units taking transient voltage stability into consideration. Background Art

[0002] As global demand for clean energy continues to grow, the proportion of renewable energy installed in the power system continues to increase. When a grid fault causes a voltage drop, renewable energy units need to have low voltage ride-through capabilities to ensure they remain connected to the grid and provide the necessary reactive power support. However, compared to traditional synchronous generators, their dynamic reactive power support capabilities are relatively weak. When the grid experiences a major disturbance, renewable energy may not be able to quickly provide sufficient reactive power, resulting in a decrease in the system's transient voltage stability. However, existing low voltage ride-through parameter settings for renewable energy units often lack comprehensive consideration of the grid's transient voltage stability. As a result, they may not effectively support and maintain system voltage stability during grid faults, and may even trigger cascading failures, affecting the safe and reliable operation of the power system.

[0003] Currently, relatively little research exists on renewable energy parameter optimization methods that consider transient voltage stability. Existing parameter optimization methods often only consider a single factor, such as parameter optimization for a single station. This inability to comprehensively account for multiple key indicators of transient voltage stability, such as network structure and grid voltage variations, makes it difficult to effectively improve the system's transient voltage stability in practical applications. Therefore, a renewable energy parameter optimization method that comprehensively considers multiple factors affecting transient voltage stability is urgently needed to improve the transient voltage stability of renewable energy systems after they are connected to the power system. Summary of the Invention

[0004] To address the problems in the existing technology, the present invention provides a method and system for optimizing the low voltage ride-through parameters of multi-station renewable energy units, taking into account transient voltage stability. The specific technical solution is as follows:

[0005] A method for optimizing low voltage ride-through parameters of multi-station renewable energy units considering transient voltage stability includes the following steps:

[0006] Step S1, building a power grid model to be studied, wherein the power grid model includes a number of conventional power units, a number of new energy units, loads, lines and transformer network topology;

[0007] Step S2: Adjust the number and output of conventional power units and new energy units in the power grid model to obtain operating modes under different conditions where the new energy penetration rate is less than or equal to 70%;

[0008] Step S3, calculating the short-circuit ratio of multiple new energy stations under different operating modes with all new energy penetration rates less than or equal to 70%;

[0009] Step S4, performing fault simulation calculation near the busbar node where the short-circuit ratio of the new energy multi-station is less than the set threshold, and outputting the busbar voltage curve;

[0010] Step S5, judging whether the transient voltage stability is satisfied based on the calculated bus voltage curve, if so, the calculation is terminated, otherwise, the process proceeds to step S6;

[0011] In step S6, for weak nodes that do not meet transient voltage stability requirements, low voltage ride-through parameters of nearby new energy generators are optimized, and the process goes to step S4 to use the optimized low voltage ride-through parameters of the new energy generators for fault simulation.

[0012] Preferably, in step S2, the new energy penetration rate = new energy output / (conventional energy output + new energy output).

[0013] Preferably, the short-circuit ratio of the new energy multi-station in step S3 is calculated as follows:

[0014] ;

[0015] Where: For new energy stations / power generation units Short-circuit ratio of new energy multiple stations; For new energy stations / power generation units Short-circuit capacity of the step-up transformer on the low-voltage side; For new energy stations / power generation units contribution; For new energy stations / power generation units contribution; For new energy stations / power generation units Equivalent node impedance matrix viewed from the low-voltage side of the boost transformer No. OK, column mutual impedance; For new energy stations / power generation units Equivalent node impedance matrix viewed from the low-voltage side of the boost transformer No. OK, Column self-impedance; n is the number of new energy stations.

[0016] Preferably, the fault in step S4 includes a single-circuit line short-circuit tripping fault and a double-circuit line short-circuit tripping fault.

[0017] Preferably, the criterion for determining whether transient voltage stability is satisfied in step S5 is:

[0018] In the transient process after the power system is subjected to a large disturbance, the load bus voltage recovers to above 0.80pu within 10s, and in the long-term process after the power system is subjected to a large disturbance, the load bus voltage maintains or recovers to above 0.90pu, then the transient voltage is stable.

[0019] Preferably, the low voltage ride-through parameter optimization of the nearby new energy generator set in step S6 is specifically as follows:

[0020] ;

[0021] ;

[0022] in, For new energy stations / power generation units The unit dynamic reactive current proportional coefficient during the low voltage ride-through process before optimization, is the unit dynamic reactive current proportional coefficient during the optimized low voltage ride-through process; For new energy stations / power generation units The correction value of the unit dynamic reactive current proportional coefficient during the low voltage ride-through process; For new energy stations / power generation units The output node voltage recovery index, For new energy stations / power generation units The short-circuit ratio of new energy multiple stations.

[0023] Preferably, new energy stations / power generation units The output node voltage recovery index is calculated as follows:

[0024] ;

[0025] in, For new energy stations / power generation units The final stable value of the voltage after the disturbance, For new energy stations / power generation units The lowest value of the voltage during the disturbance, For new energy stations / power generation units The initial value of the voltage.

[0026] A system for optimizing low voltage ride-through parameters of multi-station renewable energy units considering transient voltage stability, applying the method described, includes:

[0027] A modeling module is used to build the power grid model under study, which includes several conventional power units, several new energy units, loads, lines and transformer network topology;

[0028] The state adjustment module is used to adjust the number and output of conventional power units and new energy units in the power grid model, and obtain the operating modes under different states when the new energy penetration rate is less than or equal to 70%;

[0029] The short-circuit ratio calculation module is used to calculate the short-circuit ratios of multiple new energy stations under different operating modes with all new energy penetration rates less than or equal to 70%;

[0030] The fault simulation module is used to perform fault simulation calculations near bus nodes where the short-circuit ratio of a new energy multi-station is less than a set threshold, and output bus voltage curves;

[0031] The judgment module determines whether the transient voltage stability is satisfied based on the calculated bus voltage curve. If so, the calculation ends; otherwise, the module jumps to the parameter optimization module.

[0032] The parameter optimization module is used to optimize the low voltage ride-through parameters of nearby new energy units for weak nodes that do not meet transient voltage stability requirements, and use the optimized low voltage ride-through parameters of the new energy units for fault simulation in the fault simulation module.

[0033] A computer-readable storage medium includes a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute the method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability.

[0034] A processor is used to run a program, wherein when the program is run, the method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability is executed.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] This invention significantly enhances the transient voltage stability of the power grid during faults by optimizing the low-voltage ride-through parameters for renewable energy sources in areas with high short-circuit ratios. Simulation results show that the optimized low-voltage ride-through parameters for renewable energy sources effectively improve the rapid response of renewable energy units to grid voltage drops. This invention is of great significance for improving the stability and reliability of grids with a high proportion of renewable energy access, providing technical support for building a more robust power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly describes the drawings required for the specific embodiments or the description of the prior art. Similar elements or parts are generally identified by similar reference numerals throughout the drawings. Elements or parts in the drawings are not necessarily drawn to scale.

[0038] Figure 1 Flow chart of the method of the present invention.

[0039] Figure 2 This is the calculation principle diagram of the short-circuit ratio of multiple new energy stations.

[0040] Figure 3 This is the power grid model diagram established in Example 1.

[0041] Figure 4 4 is a diagram of busbar node voltage simulation results of the embodiment.

[0042] Figure 5 This is a system principle diagram of the present invention. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0044] It should be understood that when used in this specification, the terms "include" and "comprising" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0045] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification, the singular forms "a", "an" and "the" are intended to include the plural forms unless the context clearly indicates otherwise.

[0046] It should be further understood that the term “and / or” used in the description 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.

[0047] Example 1:

[0048] like Figure 1 As shown, this embodiment provides a method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability, including the following steps:

[0049] Step S1: constructing a power grid model to be studied, wherein the power grid model includes a plurality of conventional power units, a plurality of new energy units, loads, lines and transformer network topology.

[0050] Step S2: Adjust the number of conventional power units and new energy units in operation and their output in the grid model to obtain operating modes for different states where the new energy penetration rate is less than or equal to 70%. New energy penetration rate = new energy output / (conventional energy output + new energy output). By adjusting the number of conventional and new energy units in operation and their output, operating modes can be obtained for different levels of new energy penetration.

[0051] Step S3, calculate the Multi-Regional Short Circuit Ratio (MRSCR) of new energy under different operating modes with all new energy penetration rates less than or equal to 70%. Figure 2 As shown in the figure, the calculation method of the short-circuit ratio of new energy multi-station is:

[0052] ;

[0053] Where: For new energy stations / power generation units Short-circuit ratio of new energy multiple stations; For new energy stations / power generation units Short-circuit capacity of the step-up transformer on the low-voltage side; For new energy stations / power generation units contribution; For new energy stations / power generation units contribution; For new energy stations / power generation units Equivalent node impedance matrix viewed from the low-voltage side of the boost transformer No. OK, The mutual impedance of the column reflects the station With the station The coupling impedance between the stations is used to describe the and stations The electrical interactions between For new energy stations / power generation units Equivalent node impedance matrix viewed from the low-voltage side of the boost transformer No. OK, Column self-impedance, used to describe the station Its own electrical characteristics; n is the number of new energy stations;

[0054] Step S4: Conduct fault simulation calculations near busbar nodes where the short-circuit ratio of the new energy multi-station is less than a set threshold, and output the busbar voltage curve. Faults include single-circuit line short-circuit trip faults and double-circuit line short-circuit trip faults. In this embodiment, the threshold is set to 5.

[0055] Step S5: Determine whether the transient voltage stability is satisfied based on the calculated bus voltage curve. If the transient voltage is stable according to the guideline GB / T40581-2021, the calculation ends; otherwise, proceed to step S6. The criteria for determining whether the transient voltage stability is satisfied are:

[0056] In the transient process after the power system is subjected to a large disturbance, the load bus voltage recovers to above 0.80pu within 10s, and in the long-term process after the power system is subjected to a large disturbance, the load bus voltage maintains or recovers to above 0.90pu, then the transient voltage is stable.

[0057] Step S6: Optimize the low voltage ride-through parameters of the nearby renewable energy units for the weak nodes that do not meet the transient voltage stability requirements, and then jump to step S4 to use the optimized low voltage ride-through parameters of the renewable energy units for fault simulation. The specific steps for optimizing the low voltage ride-through parameters of the nearby renewable energy units are as follows:

[0058] ;

[0059] ;

[0060] in, For new energy stations / power generation units The unit dynamic reactive current proportional coefficient during the low voltage ride-through process before optimization, is the unit dynamic reactive current proportional coefficient during the optimized low voltage ride-through process; For new energy stations / power generation units The correction value of the unit dynamic reactive current proportional coefficient during the low voltage ride-through process; For new energy stations / power generation units The output node voltage recovery index, For new energy stations / power generation units The short-circuit ratio of new energy multiple stations.

[0061] New energy stations / power generation units The output node voltage recovery index is calculated as follows:

[0062] ;

[0063] in, For new energy stations / power generation units The final stable value of the voltage after the disturbance, For new energy stations / power generation units The lowest value of the voltage during the disturbance, For new energy stations / power generation units The initial value of the voltage.

[0064] Dynamic reactive current proportional coefficient of the unit during low voltage ride-through The relationship with the grid connection point voltage is as follows:

[0065] ;

[0066] Where, For new energy stations / power generation units The injected dynamic reactive current increment, For new energy stations / power generation units The grid connection point voltage, For new energy stations / power generation units rated current.

[0067] According to the formula, through Adjustment can affect the reactive current of the station grid connection point, that is, affect the reactive power of the new energy station grid connection point, and then affect the voltage of the grid connection point and the system voltage.

[0068] like Figure 3 For the grid model shown, perform LVRT parameter optimization for multiple renewable energy generators in the following steps:

[0069] a. Establish an analytical model for a regional power grid. The model includes conventional power source hydropower station 1, wind farm 1, wind farm 2, wind farm 3, wind farm 4, wind farm 5, photovoltaic station 1, energy storage model 1, regional substations 1-4, and line and load models.

[0070] b. Adjust the conventional power supply, renewable energy startup, and output in the area to obtain calculation data at different penetration rates. The initial renewable energy penetration rate is 30%, and the renewable energy short-circuit ratio is calculated at renewable energy penetration rates of 40%, 50%, 60%, and 70%.

[0071] c. When the new energy penetration rate is 70%, the substation 2 node with a short-circuit ratio less than 5 is selected, and the node short-circuit ratio is 4.01.

[0072] d. Perform fault simulation on the selected nodes to obtain transient voltage instability faults: a three-phase permanent fault trips on the double-circuit line from substation 1 to substation 2, and the busbar voltage at substation 2 becomes unstable.

[0073] e. For unstable faults, use Adjust wind farm 1, wind farm 2, wind farm 3, wind farm 4, wind farm 5, photovoltaic power station 1, energy storage 1 value.

[0074] f. Calculate whether the transient voltage of the busbar of Substation 2 is unstable when the double-circuit line from Substation 1 to Substation 2 trips due to a three-phase permanent fault. If the transient voltage is unstable, repeat step e. If the transient voltage is stable, the process ends.

[0075] g. Get the adjusted output of wind farm 1, wind farm 2, wind farm 3, wind farm 4, wind farm 5, photovoltaic power station 1, and energy storage 1. value.

[0076] The voltage curve of busbar node 2 of substation before and after parameter adjustment is as follows: Figure 4 As shown in the figure, curve 1 is the busbar voltage curve of substation 2 before parameter adjustment, and curve 2 is the busbar voltage curve of substation 2 after parameter adjustment. Before parameter adjustment, the load busbar voltage value did not recover to above 0.90 pu, and the transient voltage was unstable. After parameter adjustment, the load busbar voltage recovered to above 0.90 pu, and the transient voltage was stable.

[0077] Example 2:

[0078] like Figure 5 As shown, based on the same inventive concept as Example 1, this embodiment provides an optimization system for low voltage ride-through parameters of multi-station new energy units considering transient voltage stability, and the method described herein includes:

[0079] A modeling module is used to build the power grid model under study, which includes several conventional power units, several new energy units, loads, lines and transformer network topology;

[0080] The state adjustment module is used to adjust the number and output of conventional power units and new energy units in the power grid model, and obtain the operating modes under different states when the new energy penetration rate is less than or equal to 70%;

[0081] The short-circuit ratio calculation module is used to calculate the short-circuit ratios of multiple new energy stations under different operating modes with all new energy penetration rates less than or equal to 70%;

[0082] The fault simulation module is used to perform fault simulation calculations near bus nodes where the short-circuit ratio of a new energy multi-station is less than a set threshold, and output bus voltage curves;

[0083] The judgment module determines whether the transient voltage stability is satisfied based on the calculated bus voltage curve. If so, the calculation ends; otherwise, the module jumps to the parameter optimization module.

[0084] The parameter optimization module is used to optimize the low voltage ride-through parameters of nearby new energy units for weak nodes that do not meet transient voltage stability requirements, and use the optimized low voltage ride-through parameters of the new energy units for fault simulation in the fault simulation module.

[0085] Example 3:

[0086] Based on the same inventive concept as Example 1, this embodiment provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the method for optimizing the low voltage ride-through parameters of multi-station new energy units considering transient voltage stability.

[0087] Example 4:

[0088] Based on the same inventive concept as Example 1, this embodiment provides a processor, which is used to run a program, wherein when the program is running, the method for optimizing the low voltage ride-through parameters of multi-station new energy units considering transient voltage stability is executed.

[0089] Those skilled in the art will appreciate that the modules of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0090] In the embodiments provided by the present invention, it should be understood that the division of modules is merely 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.

[0091] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, or each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or software functional modules.

[0092] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), a mobile hard drive, a magnetic disk, or an optical disk.

[0093] 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 above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some or all of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and description of the present invention.

Claims

1. A method for optimizing low voltage ride-through parameters of multi-station renewable energy units considering transient voltage stability, characterized in that: The following steps are involved: Step S1, building a power grid model to be studied, wherein the power grid model includes a number of conventional power units, a number of new energy units, loads, lines and transformer network topology; Step S2: Adjust the number and output of conventional power units and new energy units in the power grid model to obtain operating modes under different conditions where the new energy penetration rate is less than or equal to 70%; Step S3, calculating the short-circuit ratio of multiple new energy stations under different operating modes with all new energy penetration rates less than or equal to 70%; Step S4, performing fault simulation calculation near the busbar node where the short-circuit ratio of the new energy multi-station is less than the set threshold, and outputting the busbar voltage curve; Step S5, judging whether the transient voltage stability is satisfied based on the calculated bus voltage curve, if so, the calculation is terminated, otherwise, the process proceeds to step S6; Step S6: Optimize the low voltage ride-through parameters of nearby renewable energy units for weak nodes that do not meet transient voltage stability requirements, and then skip to step S4 to use the optimized low voltage ride-through parameters of renewable energy units for fault simulation. The details of the low voltage ride-through parameter optimization for nearby new energy generating units are as follows: ； ； in, For new energy stations / power generation units The unit dynamic reactive current proportional coefficient during the low voltage ride-through process before optimization, is the unit dynamic reactive current proportional coefficient during the optimized low voltage ride-through process; For new energy stations / power generation units The correction value of the unit dynamic reactive current proportional coefficient during the low voltage ride-through process; For new energy stations / power generation units The output node voltage recovery index, For new energy stations / power generation units The short-circuit ratio of new energy multiple stations.

2. The method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1 is characterized in that: In step S2, the new energy penetration rate = new energy output / (conventional energy output + new energy output).

3. The method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1 is characterized in that: The calculation method of the short-circuit ratio of the new energy multi-station in step S3 is: ； Where: For new energy stations / power generation units Short-circuit ratio of new energy multiple stations; For new energy stations / power generation units Short-circuit capacity of the step-up transformer on the low-voltage side; For new energy stations / power generation units contribution; For new energy stations / power generation units contribution; For new energy stations / power generation units Equivalent node impedance matrix viewed from the low-voltage side of the boost transformer No. OK, column mutual impedance; For new energy stations / power generation units Equivalent node impedance matrix viewed from the low-voltage side of the boost transformer No. OK, Column self-impedance; n is the number of new energy stations.

4. The method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1 is characterized in that: The fault in step S4 includes a single-circuit line short-circuit tripping fault and a double-circuit line short-circuit tripping fault.

5. The method for optimizing low voltage ride-through parameters of multi-station new energy generating units considering transient voltage stability according to claim 1 is characterized in that: The criterion for determining whether transient voltage stability is satisfied in step S5 is: In the transient process after the power system is subjected to a large disturbance, the load bus voltage recovers to above 0.80pu within 10s, and in the long-term process after the power system is subjected to a large disturbance, the load bus voltage maintains or recovers to above 0.90pu, then the transient voltage is stable.

6. The method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability according to claim 1 is characterized in that: New energy stations / power generation units The output node voltage recovery index is calculated as follows: ； in, For new energy stations / power generation units The final stable value of the voltage after the disturbance, For new energy stations / power generation units The lowest value of the voltage during the disturbance, For new energy stations / power generation units The initial value of the voltage.

7. An optimization system for low voltage ride-through parameters of multi-station renewable energy units considering transient voltage stability, characterized in that: The method according to any one of claims 1 to 6 comprises: A modeling module is used to build the power grid model under study, which includes several conventional power units, several new energy units, loads, lines and transformer network topology; The state adjustment module is used to adjust the number and output of conventional power units and new energy units in the power grid model, and obtain the operating modes under different states when the new energy penetration rate is less than or equal to 70%; The short-circuit ratio calculation module is used to calculate the short-circuit ratios of multiple new energy stations under different operating modes with all new energy penetration rates less than or equal to 70%; The fault simulation module is used to perform fault simulation calculations near bus nodes where the short-circuit ratio of a new energy multi-station is less than a set threshold, and output bus voltage curves; The judgment module determines whether the transient voltage stability is satisfied based on the calculated bus voltage curve. If so, the calculation ends; otherwise, the module jumps to the parameter optimization module. The parameter optimization module is used to optimize the low voltage ride-through parameters of nearby new energy units for weak nodes that do not meet transient voltage stability requirements, and use the optimized low voltage ride-through parameters of the new energy units for fault simulation in the fault simulation module.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein, when the program is running, the device where the computer-readable storage medium is located is controlled to execute the method for optimizing low voltage ride-through parameters of multi-site new energy units considering transient voltage stability as described in any one of claims 1 to 6.

9. A processor, characterized in that: The processor is used to run a program, wherein when the program is run, the method for optimizing low voltage ride-through parameters of multi-station new energy units considering transient voltage stability as described in any one of claims 1 to 6 is executed.

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