Multi-dimensional index new energy AGC fairness detection method, device and equipment

Abstract

The invention relates to the technical field of new energy AGC fairness detection, in particular to a multi-dimensional-index new energy AGC fairness detection method, device and equipment, and the method comprises the steps: firstly, making a unified test case for different test scenes, then enabling AGC systems developed by different manufacturers to be connected into a unified test environment, and carrying out the fairness detection of the new energy AGC. And finally, testing the AGC systems of different manufacturers according to the formulated test cases, collecting control instruction data issued by the AGC systems of different manufacturers, and evaluating the fairness of the AGC systems of different manufacturers according to the consistency of the control instruction data. Through the unified test environment and test case, the difference caused by different test environments and test methods is eliminated, and the fairness of AGC systems developed by different manufacturers under the scenes of peak regulation, joint section control, provincial and regional coordination and the like is verified. And the fairness evaluation result is more objective and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy AGC fairness detection, and specifically relates to a method, device and equipment for detecting the fairness of new energy AGC with multi-dimensional indicators. Background Art

[0002] The existing fairness detection of new energy AGC includes verification based on simulation and verification based on rule checking. However, it is difficult for the simulation model to fully reflect the complexity of the actual power system, and the credibility of the test results is greatly affected by the model accuracy and parameter settings. There is also a lack of a unified standard between different simulation software and models, making it difficult to conduct cross-platform comparisons. For the fairness verification of AGC systems from multiple manufacturers, due to the inconsistency of models and parameters among manufacturers, the comparison is meaningless. Rule checking can only verify whether the AGC system meets the specification requirements, but cannot evaluate its fairness in actual operation. It is difficult to formulate rules covering all possible scenarios, and there may be loopholes or deficiencies in the rules themselves.

[0003] In the existing technical solutions, different verification methods use different test environments, test cases and evaluation indicators, making it difficult to conduct horizontal comparisons and evaluations, and lacking a unified test standard and platform. Many verification methods can only qualitatively evaluate the fairness of the AGC system, lacking quantitative indicators and making it difficult to conduct precise comparisons. Some verification methods are difficult to simulate complex operation scenarios, such as scenarios containing multiple new energy types, different output fluctuation characteristics, and different response speeds. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, device and equipment for detecting the fairness of new energy AGC with multi-dimensional indicators to overcome the problems existing in the current prior art.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions: On the one hand, the present application provides a method for detecting the fairness of new energy AGC with multi-dimensional indicators, including: Formulating unified test cases for different test scenarios; Connecting AGC systems developed by different manufacturers to a unified test environment; Testing the AGC systems of different manufacturers according to the formulated test cases; Collecting the control instruction data issued by the AGC systems of different manufacturers; Evaluating the fairness of the AGC systems of different manufacturers according to the consistency of the control instruction data.

[0006] Further, in the above method, the formulating unified test cases for different test scenarios includes: Develop test cases with unified initial conditions, control objectives, and disturbance signals for different test scenarios; among them, the operating conditions covered by the test cases at least include: different load levels and different fluctuations in new energy output; Set consistent AGC control parameters for the AGC systems developed by different manufacturers.

[0007] Furthermore, in the above method, the AGC control parameters at least include: dead zone, control step size, and distribution method.

[0008] Furthermore, in the above method, testing the AGC systems of different manufacturers according to the formulated test cases includes: Determine the test type; among them, the test type at least includes: fairness test on the provincial dispatching side and fairness test on the local dispatching side; Test the AGC systems of different manufacturers according to the formulated test cases according to the test type.

[0009] Furthermore, in the above method, the fairness test on the provincial dispatching side includes: provincial-local coordination test, automatic peak regulation test, fairness test of multi-energy joint section control scenario, and execution process after receiving superior instructions.

[0010] Furthermore, in the above method, the fairness test on the local dispatching side includes: fairness test of peak regulation scenario, fairness test of section control scenario, and fairness test of provincial-local coordination scenario.

[0011] In the second aspect, the present application provides a new energy AGC fairness detection device with multi-dimensional indicators, including: A test case formulation module for formulating unified test cases for different test scenarios; An AGC system access module for accessing AGC systems developed by different manufacturers into a unified test environment; A test module for testing the AGC systems of different manufacturers according to the formulated test cases; A data acquisition module for collecting control instruction data issued by the AGC systems of different manufacturers; A fairness detection module for evaluating the fairness of the AGC systems of different manufacturers according to the consistency of the control instruction data.

[0012] Furthermore, in the above device, the test case formulation module includes: A test case generation unit for formulating test cases with unified initial conditions, control objectives, and disturbance signals for different test scenarios; among them, the operating conditions covered by the test cases at least include: different load levels and different fluctuations in new energy output; An AGC control parameter setting unit for setting consistent AGC control parameters for the AGC systems developed by different manufacturers.

[0013] Furthermore, for the above-mentioned device, the test module includes: A test type determination unit for determining the test type; wherein, the test type at least includes: fairness test on the provincial dispatching side and fairness test on the local dispatching side; A test unit for testing the AGC systems of different manufacturers according to the formulated test cases according to the test type.

[0014] In a third aspect, the present application provides a new energy AGC fairness detection device with multi-dimensional indicators, including a processor and a memory, and the processor is connected to the memory: Wherein, the processor is used to call and execute the program stored in the memory; The memory is used to store the program, and the program is at least used to execute the new energy AGC fairness detection method described in any one of the above.

[0015] The beneficial effects of the present invention are: The present application first formulates unified test cases for different test scenarios, then connects the AGC systems developed by different manufacturers to a unified test environment, and finally tests the AGC systems of different manufacturers according to the formulated test cases, collects the control instruction data sent by the AGC systems of different manufacturers, and evaluates the fairness of the AGC systems of different manufacturers according to the consistency of the control instruction data. In the present application, by formulating unified test cases, consistent AGC control parameters, and a unified test environment, the differences in the test environments and test conditions of the AGC systems of different manufacturers are eliminated, making the evaluation results more objective and fair. The test cases cover various typical operating conditions, including different load levels, different fluctuations in new energy output, etc., and distinguish the test scenarios unique to the provincial dispatching and local dispatching, and more comprehensively evaluate the fairness of the AGC system. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained according to these drawings without creative efforts.

[0017] Figure 1 It is a flowchart provided by an embodiment of a new energy AGC fairness detection method with multi-dimensional indicators of the present invention; Figure 2 FIG. Figure 2 is a schematic structural diagram provided by an embodiment of a new energy AGC fairness detection device with multi-dimensional indicators of the present invention; Figure 3 FIG. Figure 3 is a schematic structural diagram provided by an embodiment of a new energy AGC fairness detection device with multi-dimensional indicators of the present invention. Detailed implementation manners

[0018] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described in detail below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation manners obtained by those of ordinary skill in the art without creative efforts shall fall within the scope protected by the present invention.

[0019] Figure 1 FIG. Figure 1 is a flowchart provided by an embodiment of a new energy AGC fairness detection method with multi-dimensional indicators of the present invention. Please refer to Figure 1 , this embodiment may include the following steps: S1. Develop unified test cases for different test scenarios; S2. Connect AGC systems developed by different manufacturers to a unified test environment; S3. Test the AGC systems of different manufacturers according to the developed test cases; S4. Collect the control instruction data sent by the AGC systems of different manufacturers; S5. Evaluate the fairness of the AGC systems of different manufacturers according to the consistency of the control instruction data.

[0020] It should be noted that the output characteristics refer to the output power characteristics of new energy power generation, including output volatility, ramping rate, and output prediction.

[0021] Output volatility: The degree of change of new energy output over time, measured by indicators such as output variance and coefficient of variation.

[0022] Ramping rate: The speed of change of new energy output, expressed by the amount of output change per unit time.

[0023] Regulation contribution: The contribution degree of new energy power stations participating in AGC regulation, measured by indicators such as regulation energy, regulation times, and regulation power deviation.

[0024] Multi-dimensional fairness evaluation: Comprehensively considering multiple dimensions such as the output characteristics, response speed, regulation contribution, and regulation cost of new energy power stations, a more comprehensive evaluation of the fairness of AGC control is carried out.

[0025] Comprehensive fairness score: A comprehensive score reflecting the fairness level of new energy power stations, calculated according to the multi-dimensional fairness evaluation index system. The comprehensive fairness score is calculated according to the multi-dimensional fairness evaluation index system, specifically as follows: Comprehensive fairness score =

[0026] where n is the total number of evaluation dimensions, is the weight of the i-th dimension, which needs to satisfy ; is the score or standardized value of the i-th dimension, usually between 0 and 1, indicating the fairness level under this dimension.

[0027] First, clarify the key dimensions for evaluating the fairness of new energy AGC, including but not limited to output characteristics, response speed, regulation contribution, regulation cost, etc. The specific requirements are calculated in combination with the actual scenario. For each dimension, calculate the score of this dimension according to the actual test data and performance indicators . Standardize the data of each dimension to ensure that the scores of all dimensions are on the same scale. According to the importance of each dimension in the overall fairness evaluation, assign corresponding weights . The determination of the weights is based on expert experience, specific scenarios, and historical data analysis. Finally, multiply the scores of each dimension by their corresponding weights and sum them to obtain the comprehensive fairness score. In actual applications, adjustments need to be made according to the specific evaluation index system and data. For some complex evaluation scenarios, more advanced comprehensive evaluation models, such as the Analytic Hierarchy Process (AHP) and Fuzzy Comprehensive Evaluation Method, are also required.

[0028] Fairness: In AGC control, reasonably allocate the regulation tasks of each new energy power station, avoid excessive regulation of some power stations, and ensure the balance of the regulation burden of each power station.

[0029] Control instruction data: Refers to the control instruction data issued by the AGC system, including control target values, regulation power, etc.

[0030] Joint section control: Refers to coordinating the control of generator sets on multiple sections to maintain the balance of section power exchange.

[0031] It can be understood that in this embodiment, first, unified test cases are formulated for different test scenarios, then AGC systems developed by different manufacturers are connected to a unified test environment, and finally, according to the formulated test cases, the AGC systems of different manufacturers are tested, and the control instruction data sent by the AGC systems of different manufacturers are collected. According to the consistency of the control instruction data, the fairness of the AGC systems of different manufacturers is evaluated. In this embodiment, by formulating unified test cases, consistent AGC control parameters, and a unified test environment, the differences in the test environments and test conditions of the AGC systems of different manufacturers are eliminated, making the evaluation results more objective and fair. The test cases cover various typical operating conditions, including different load levels, different fluctuations in new energy output, etc., and distinguish the test scenarios unique to provincial dispatching and local dispatching, more comprehensively evaluating the fairness of the AGC system.

[0032] Preferably, step S1 includes: Formulating test cases with unified initial conditions, control objectives, and disturbance signals for different test scenarios; wherein, the operating conditions covered by the test cases at least include: different load levels and different fluctuations in new energy output; Setting consistent AGC control parameters for AGC systems developed by different manufacturers.

[0033] Preferably, the AGC control parameters at least include: dead zone, control step size, and distribution method.

[0034] It can be understood that for different test scenarios, unified test cases are formulated, including initial conditions, control objectives, disturbance signals, etc. The operating conditions covered by the test cases, such as different load levels, different fluctuations in new energy output, etc. Consistent AGC control parameters are set, such as dead zone, control step size, distribution method (such as by installed capacity ratio, sorted by priority, conventional units first), etc.

[0035] Preferably, step S3 includes: Determining the test type; wherein, the test type at least includes: fairness test on the provincial dispatching side and fairness test on the local dispatching side; Testing the AGC systems of different manufacturers according to the formulated test cases according to the test type.

[0036] Preferably, the fairness test on the provincial dispatching side includes: provincial-local coordination test, automatic peak regulation test, fairness test of the multi-energy joint section control scenario, and the execution process after receiving superior instructions.

[0037] Preferably, the fairness test on the local dispatching side includes: fairness test of the peak regulation scenario, fairness test of the section control scenario, and fairness test of the provincial-local coordination scenario.

[0038] It is understandable that the fairness test on the provincial dispatching side includes: provincial-local coordination test, automatic peak regulation test, fairness test for the multi-energy combined section control scenario, and the execution process after receiving superior instructions.

[0039] Among them, the provincial-local coordination test is specifically as follows: The AGC manufacturers conduct provincial-local coordination with the B area dispatching in turn, and the B area dispatching puts the coordination mode into operation. Set the installed capacity of the B area dispatching as the sum of the installed capacities of the power plants that put the AUTOR mode into operation. The actual output is sent by the AGC manufacturer as a fixed value of 120 MW. Set the overall regulation demand of the provincial dispatching as 200 MW, and allocate it according to the installed capacity ratio, and observe whether the allocated instruction values of the B area dispatching are consistent.

[0040] Among them, the automatic peak regulation test is specifically as follows: Configure the peak regulation control parameters of the AGC systems of different AGC manufacturers with the provincial dispatching as follows: Set the new energy area control mode to "peak regulation control". Keep the lower rotational reserve value of thermal power at 250 unchanged, and verify each automatic peak regulation function by changing the upper and lower threshold parameters.

[0041] Set the lower threshold parameter to 1000, the upper threshold parameter to 1500, and the lower rotational reserve value of thermal power 250 is less than the lower threshold. Observe whether the calculated value of the new energy additional power generation space is -750, and observe whether the new energy additional power generation space is used as the regional regulation demand and record it.

[0042] Set the lower threshold parameter to 100, the upper threshold parameter to 1500, and the lower rotational reserve value of thermal power 250 is between the upper and lower threshold values. Observe whether the calculated value of the new energy additional power generation space is 150, and observe whether the new energy additional power generation space is used as the regional regulation demand and record it.

[0043] Set the lower threshold parameter to 100, the upper threshold parameter to 150, and the lower rotational reserve value of thermal power 250 is greater than the upper threshold parameter. Observe whether the calculated value of the new energy additional power generation space is the total installed capacity of the provincial dispatching, and observe whether the new energy additional power generation space is used as the regional regulation demand and record it.

[0044] Among them, the fairness test for the multi-energy combined section control scenario is specifically as follows: For different AGC manufacturers, according to their section control parameters of the provincial dispatching AGC system and the parameters of the stations participating in this test, select the conventional priority allocation strategy to carry out the combined section fairness test.

[0045] On the simulated telecontrol, set the data (real-time active power) of 5 110 kV new energy stations and the section power according to the test requirements.

[0046] Set the allocation strategy of the section as "conventional units first", and switch the control modes of 5 PLCs to "AUTOR".

[0047] Set the control mode of the local dispatching in Area A to "manual setpoint", change the section power according to the test requirements, observe whether the 5 new energy power stations are allocated as expected, and record the issued target value.

[0048] The fairness test of the local dispatching includes: the fairness test of the peak regulation scenario, the fairness test of the section control scenario, and the fairness test of the provincial-local coordination scenario.

[0049] Among them, the fairness test of the peak regulation scenario is specifically as follows: Carry out 2 types of control strategy tests in the peak regulation scenario, and the adjustment demand comes from the provincial-local coordination and issuance.

[0050] First, proportional allocation (allocation according to the proportion of installed capacity): On the manufacturer's simulated telecontrol, set the data (real-time active power) of 5 110kV new energy power stations according to the test requirements.

[0051] Set the allocation strategy of the local dispatching in Area A to "installed capacity ratio", and switch the control modes of the 5 PLCs to "AUTOR".

[0052] Set the control mode of the local dispatching in Area A to "manual setpoint", set the target power respectively according to the test requirements, observe whether the 5 new energy power stations are allocated as expected, and record the issued target value.

[0053] Then determine the priority (allocation according to the manual priority ranking): On the manufacturer's simulated telecontrol, set the data (real-time active power) of 5 110kV new energy power stations according to the test requirements.

[0054] Set the allocation strategy of the local dispatching in Area A to "manual priority ranking", and switch the control modes of the 5 PLCs to "AUTOR".

[0055] Set the control mode of the local dispatching in Area A to "manual setpoint", set the target power respectively according to the test requirements (set them separately for upward and downward adjustment in sequence), observe whether the 5 new energy power stations are allocated as expected, and record the issued target value.

[0056] Among them, the fairness test of the section control scenario is specifically as follows: Let 2 power stations such as 110kV Photovoltaic A and 110kV Photovoltaic B in Area A participate in the section control of a certain 110kV line of the local dispatching.

[0057] First, allocate according to the manual ratio (real-time output ratio): On the simulated telecontrol, set the data (real-time active power) of 2 110kV new energy power stations belonging to a certain 110kV line section and the section power according to the test data and environment.

[0058] Set the allocation strategy of the section to "real-time output ratio", and switch the control modes of the 2 PLCs to "AUTOR".

[0059] Set the control mode of the A-area dispatching to "manual setpoint", change the section power respectively according to the test requirements (from 250 to 305 MW), so that a certain 110 kV line section is over-limit, observe whether the two new energy power stations under this section are allocated according to the expected results, and record the issued target value.

[0060] Then allocate according to the priority (manual priority): On the simulated telecontrol, set the data of two 110 kV new energy power stations (real-time active power) and section power according to the test data and environment.

[0061] Set the allocation strategy of the section to "manual priority", and switch the control modes of the two PLCs to "AUTOR".

[0062] Set the control mode of the A-area dispatching to "manual setpoint", change the section power respectively according to the test requirements (from 250 to 305 MW), so that a certain 110 kV line section is over-limit, observe whether the two new energy power stations under this section are allocated according to the expected results, and record the issued target value.

[0063] Among them, the fairness test of the provincial and local coordination scenario is specifically as follows: On the manufacturer's simulated telecontrol, set the data of five 110 kV new energy power stations (real-time active power) and section power according to the test requirements.

[0064] Simulate that the A-area dispatching receives the regulation requirements from the provincial dispatching, set the allocation strategy of each PLC to "manual priority", and switch the control modes of the five PLCs to "AUTOR".

[0065] Set the control mode of the A-area dispatching to "provincial and local coordination", set the regional regulation requirements according to the test requirements of "manual setpoint", observe whether the five new energy power stations of the three families are allocated according to the expected results, and record the issued target value.

[0066] By testing whether the AGC manufacturers can all meet the requirements in the same scenario, issue and use the same allocation strategy, and compare the consistency of the test results. The test includes the peak regulation of the provincial main station, the joint section control, the fairness verification of the provincial and local coordination, and the fairness verification of the key functions such as the peak regulation control strategy and section control of the local main station.

[0067] The present invention also provides a new energy AGC fairness detection device with multi-dimensional indicators for implementing the above method embodiments. Figure 2 It is a structural schematic diagram provided by an embodiment of a new energy AGC fairness detection device with multi-dimensional indicators of the present invention. As Figure 2 shown, this embodiment includes: A test case formulation module 1 for formulating unified test cases for different test scenarios; The AGC system access module 2 is used to access AGC systems developed by different manufacturers into a unified test environment; The test module 3 is used to test AGC systems of different manufacturers according to the formulated test cases; The data acquisition module 4 is used to collect the control instruction data sent by AGC systems of different manufacturers; The fairness detection module 5 is used to evaluate the fairness of AGC systems of different manufacturers according to the consistency of the control instruction data.

[0068] Preferably, the test case formulation module 1 includes: The test case generation unit is used to formulate test cases with unified initial conditions, control objectives and disturbance signals for different test scenarios; among them, the operating conditions covered by the test cases at least include: different load levels and different new energy output fluctuations; The AGC control parameter setting unit is used to set consistent AGC control parameters for AGC systems developed by different manufacturers.

[0069] Preferably, the test module 3 includes: The test type determination unit is used to determine the test type; among them, the test type at least includes: the fairness test on the provincial dispatching side and the fairness test on the local dispatching side; The test unit is used to test AGC systems of different manufacturers according to the test type and the formulated test cases.

[0070] Regarding the device in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be elaborated here.

[0071] The present invention also provides a new energy AGC fairness detection device with multi-dimensional indicators, which is used to implement the above method embodiments. Figure 3 It is a structural schematic diagram provided by an embodiment of a new energy AGC fairness detection device with multi-dimensional indicators of the present invention. As Figure 3 shown, the new energy AGC fairness detection device with multi-dimensional indicators in this embodiment includes a processor 21 and a memory 22, and the processor 21 is connected to the memory 22. Among them, the processor 21 is used to call and execute the program stored in the memory 22; the memory 22 is used to store the program, and the program is at least used to execute the new energy AGC fairness detection method in the above embodiments.

[0072] The specific implementation scheme of the new energy AGC fairness detection device provided by the embodiments of the present application can refer to the implementation manner of the new energy AGC fairness detection method in any of the above embodiments, and will not be elaborated here.

[0073] It is understandable that the same or similar parts in the above embodiments can be referred to each other, and for the content not described in detail in some embodiments, reference can be made to the same or similar content in other embodiments.

[0074] It should be noted that in the description of the present invention, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of the present invention, unless otherwise specified, the meaning of "a plurality of" refers to at least two.

[0075] Any process or method description in the flowchart or described in other ways herein can be understood to represent a module, segment, or part of code including one or more executable instructions for implementing a specific logical function or process. And the scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in the reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0076] It should be understood that each part of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following well-known technologies in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0077] Those of ordinary skill in the art of the present technology can understand that all or part of the steps carried by the methods in the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0078] In addition, each functional unit in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0079] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disc, etc.

[0080] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0081] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A new energy AGC fairness detection method for multi-dimensional indicators, characterized in that Including: Formulating unified test cases for different test scenarios; Connecting AGC systems developed by different manufacturers to a unified test environment; Testing the AGC systems of different manufacturers according to the formulated test cases; Collecting the control instruction data sent by the AGC systems of different manufacturers; Evaluating the fairness of the AGC systems of different manufacturers based on the consistency of the control instruction data.

2. The method according to claim 1, characterized in that, The formulating unified test cases for different test scenarios includes: Formulating test cases with unified initial conditions, control objectives, and disturbance signals for different test scenarios; among them, the operating conditions covered by the test cases at least include: different load levels and different fluctuations in new energy output; Setting consistent AGC control parameters for the AGC systems developed by different manufacturers.

3. The method according to claim 2, wherein The AGC control parameters at least include: dead zone, control step size, and allocation method.

4. The method according to claim 3, characterized in that, The testing the AGC systems of different manufacturers according to the formulated test cases includes: Determining the test type; among them, the test type at least includes: fairness test on the provincial dispatching side and fairness test on the local dispatching side; Testing the AGC systems of different manufacturers according to the formulated test cases based on the test type.

5. The method according to claim 4, characterized in that The fairness test on the provincial dispatching side includes: provincial-local coordination test, automatic peak shaving test, fairness test for multi-energy joint section control scenarios, and testing the execution process after receiving superior instructions.

6. The method according to claim 5, characterized in that The fairness test on the local dispatching side includes: fairness test for peak shaving scenarios, fairness test for section control scenarios, and fairness test for provincial-local coordination scenarios.

7. A new energy AGC fairness detection device for multi-dimensional indicators, characterized in that, Including: A test case formulating module, used for formulating unified test cases for different test scenarios; An AGC system access module, used for connecting AGC systems developed by different manufacturers to a unified test environment; A testing module, used for testing the AGC systems of different manufacturers according to the formulated test cases; A data collection module, used for collecting the control instruction data sent by the AGC systems of different manufacturers; A fairness detection module, used for evaluating the fairness of the AGC systems of different manufacturers based on the consistency of the control instruction data.

8. The device according to claim 7, characterized in that, The test case formulating module includes: A test case generating unit, used for formulating test cases with unified initial conditions, control objectives, and disturbance signals for different test scenarios; among them, the operating conditions covered by the test cases at least include: different load levels and different fluctuations in new energy output; An AGC control parameter setting unit, used for setting consistent AGC control parameters for the AGC systems developed by different manufacturers.

9. The device according to claim 8, characterized in that, The testing module includes: A test type determining unit, used for determining the test type; among them, the test type at least includes: fairness test on the provincial dispatching side and fairness test on the local dispatching side; A testing unit, used for testing the AGC systems of different manufacturers according to the formulated test cases based on the test type.

10. A new energy AGC fairness detection device for multi-dimensional indicators, characterized in that, Including a processor and a memory, the processor is connected to the memory: Among them, the processor is used to call and execute the program stored in the memory; The memory is used to store the program, and the program is at least used to execute the new energy AGC fairness detection method for multi-dimensional indicators described in any one of claims 1-6.

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