AGC simulation system based on variable strategy and its use method

Abstract

The present invention provides an AGC simulation system based on a variable strategy and a method for using the same. The AGC simulation system includes: an instruction receiving module, a load monitoring module, a strategy input module, a data display module, a simulation execution module, a strategy optimization module, and a host module. The host module is constructed as follows: outputting the AGC allocation strategy and the power grid load instruction to the simulation execution module to perform the simulation work; outputting the real-time power generation situation and the real-time operating load situation and the simulation test results to the data display module to display the real-time simulation situation and the simulation test results; outputting the simulation test results and the comparison results of the real-time power generation situation and the real-time simulation situation to the strategy optimization module to optimize the current AGC allocation strategy. As a result, the system can perform a rationality test on the AGC allocation strategy that needs to be simulated and verified, can provide a basis for modifying the control strategy, and provide technical support for realizing the intelligent power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power simulation, and in particular to an AGC simulation system based on a variable strategy and a use method thereof. Background Art

[0002] Automatic Generation Control (AGC) is one of the main contents of power system dispatch automation. It can monitor and adjust the frequency of the power system to control the generator to generate electricity by using a closed-loop control system consisting of dispatch monitoring computers, channels, remote terminals, execution (distribution) devices, and generator automation devices.

[0003] Due to their high degree of automation and a significant reduction in the number of staff, hydropower plants are using and relying more and more on AGC, especially the centralized control center of cascade power plants, which needs to control and manage multiple cascade power plants at the same time. Whether the AGC's functions are complete has a great impact on the dispatching and operation work.

[0004] Hydropower plants and cascade power plants use AGC mainly to use its automatic distribution function of load instructions to the power grid. In this case, staff are no longer required to adjust and distribute the load. Before using the AGC function, the AGC distribution strategy is set according to the operating conditions of the power plant's generator sets and related protection strategies. When the power plant or the centralized control center has a generator set connected to the grid, the automatic power generation control function is put into use. This function receives the grid load instruction, performs load distribution calculation according to the set strategy, and finally starts the grid-connected units for load adjustment.

[0005] The hydroelectric generator set has a normal operating load range and a vibration range. The unit needs to avoid the vibration range when operating in the power generation operation state. However, when the unit is running near the vibration range, the operating condition is poor. At this time, it is not conducive to the unit to maintain a good equipment state, and it is even more unfavorable for economic dispatch operation. In the prior art, when the generator set is running near the upper and lower limits of the vibration range, the vibration and swing of the unit are large. Through statistical analysis of the unit operation data, the applicant found that when the unit is running near the upper and lower limits of the vibration range, the temperature of the bearings of various parts of the generator is high, which is not conducive to the long-term stable operation of the unit.

[0006] Some existing power plants, such as Shuibuya Power Plant and Geheyan Power Plant in the Qingjiang River Basin in the Central China Power Grid, are the backbone peak-shaving and frequency-regulating power plants of the Central China Power Grid, and are responsible for adjusting the frequency and voltage of the inter-provincial interconnection lines. Due to the characteristics of peak-shaving, frequency regulation and voltage control, the active and reactive loads of power plants are adjusted very frequently, up to more than 10 times per minute. For power plants with frequent adjustments, the AGC control strategy should give priority to avoiding frequent crossing of a certain unit through the vibration zone (because crossing the vibration zone is very harmful to the hydro-generator unit, and its efficiency will be greatly reduced. Therefore, when the load adjustment range is large, when crossing the vibration zone is unavoidable, try to let each unit evenly share the number of times it crosses the vibration zone to minimize the impact).

[0007] That is to say, in order to achieve peak load and frequency regulation, some power plants will make frequent adjustments during the day and night, and have different power generation strategies in different time periods and seasons. However, frequent adjustments of active load and reactive load, especially frequent crossing of vibration ranges, have a great impact on the generator set and will reduce the health level of the power generation equipment. At the same time, due to frequent adjustments, it is impossible to ensure that the AGC load distribution is always in a reasonable state. In order to ensure that the generator set can operate under the optimal working conditions for a long time, it is necessary to develop an AGC simulation system to verify the rationality of its distribution strategy, so as to provide a basis for the modification of the control strategy and provide technical support for the realization of smart power plants. Summary of the invention

[0008] In order to at least partially solve the technical problems existing in the prior art, the present invention provides an AGC simulation system based on a variable strategy and a method of use, which can at least solve the problem existing in the prior art that the allocation strategy of the generator set cannot be verified and a basis for modification cannot be provided.

[0009] According to a first aspect of the present invention, there is provided an AGC simulation system based on a variable strategy, the AGC simulation system comprising:

[0010] An instruction receiving module, the instruction receiving module is used to receive a power grid load instruction from a power grid in real time;

[0011] A load monitoring module, which is used to monitor the real-time power generation of the generator set and collect the real-time operating load conditions of the operating units of the power plant;

[0012] A strategy input module, the strategy input module is used to receive the AGC allocation strategy that needs to be verified and simulated;

[0013] A data display module, which is used to display the real-time simulation situation and the simulation test results, and can also compare the real-time power generation situation of the generator set with the real-time simulation situation;

[0014] A simulation execution module, which can execute simulation work based on the received AGC allocation strategy and the received power grid load instruction, and output simulation test results;

[0015] A strategy optimization module, wherein the strategy optimization module can optimize and save the current AGC allocation strategy based on the simulation test results;

[0016] A host module, wherein the host module is signal-connected to the instruction receiving module, the load monitoring module, the strategy input module, the data display module, the strategy optimization module, and the simulation execution module;

[0017] The host module is constructed as follows: outputting the AGC allocation strategy from the strategy input module and the power grid load instruction received from the instruction receiving module to the simulation execution module, so that the simulation execution module can perform simulation work; outputting the real-time power generation situation and real-time operating load situation from the load monitoring module and the simulation test results from the simulation execution module to the data display module, so that the data display module can display the real-time simulation situation and the simulation test results; outputting the simulation test results from the data display module and the comparison results between the real-time power generation situation of the generator set and the real-time simulation situation to the strategy optimization module, so that the strategy optimization module can optimize the current AGC allocation strategy.

[0018] Optionally, the AGC simulation system further comprises a data storage module, which is signal-connected to the host module and can store data related to the simulation work.

[0019] Optionally, the host module can output the optimized AGC allocation strategy to the simulation execution module, so that the simulation execution module can perform simulation verification again based on the optimized AGC allocation strategy.

[0020] Optionally, the instruction receiving module can immediately transmit the power grid load instruction received in real time to the host module during real-time simulation as a load instruction for real-time simulation.

[0021] Optionally, the load monitoring module can immediately transmit the real-time power generation status of the generator set monitored in real time to the host module during real-time simulation to achieve real-time comparison.

[0022] Optionally, the instruction receiving module can store the received power grid load instructions in chronological order to form an instruction record.

[0023] Optionally, the load monitoring module can store the real-time power generation status of the monitored generator sets in chronological order.

[0024] According to a second aspect of the present invention, a method of use is further provided, the method of use being used for the AGC simulation system based on a variable strategy according to any one of the first aspects of the present invention, the method of use comprising an offline simulation method of use, the offline simulation method of use comprising:

[0025] Enter the AGC allocation strategy that needs to be verified and simulated;

[0026] Based on the actual operation of the generator set, determine the startup status of the generator set during the simulation process;

[0027] Input real-time grid load instructions;

[0028] Start to execute simulation work;

[0029] Input the actual operating conditions of the generator set;

[0030] Compare the real-time simulation with the actual operation of the generator set to obtain optimization suggestions;

[0031] Based on the optimization suggestions, optimize the current AGC allocation strategy.

[0032] Optionally, the use method further includes a real-time simulation use method, and the real-time simulation use method includes:

[0033] Input the real-time grid load instruction, the actual operation status of the generator set monitored in real time, and the AGC allocation strategy that needs to be verified and simulated;

[0034] Based on the actual operation of the generator set, determine the startup status of the generator set during the simulation process;

[0035] Start to execute simulation work;

[0036] Compare the real-time simulation situation with the real-time actual operation situation of the generator set to obtain a comparison curve;

[0037] Based on the comparison curve, the simulation results are obtained and the current AGC allocation strategy is optimized.

[0038] Optionally, the method of use further includes a policy modification method of use, and the policy modification method of use includes:

[0039] Enter the optimized AGC allocation strategy;

[0040] Perform simulation verification again based on the current simulation conditions;

[0041] Strategy optimization completed.

[0042] The technical principle of the present invention is:

[0043] The tester can first input the AGC allocation strategy that needs to be verified and simulated into the AGC simulation system. At the same time, the system can obtain the grid load instructions in the power grid, the real-time power generation of the generator sets, and the real-time operating load conditions of the operating units of the power plant. The AGC simulation system performs simulation work based on the received AGC allocation strategy and grid load instructions, and displays the simulation test results with the help of the data display module. At the same time, the simulation test results are compared with the real-time power generation of the generator sets and the real-time operating load conditions of the operating units of the power plant. The AGC simulation system can optimize the current AGC allocation strategy based on the comparison results.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The AGC simulation system in this embodiment can perform rationality checks on the AGC allocation strategies that need to be simulated and verified. It can evaluate the scientific rationality of the AGC control strategies and provide a basis for modifying the control strategies. In essence, it provides support for the economic optimization scheduling system, which aims at the optimal economic benefits of the hydropower plant. Therefore, in terms of exceeding customer needs, this platform provides technical support for the realization of smart power plants. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the structure of an AGC simulation system based on a variable strategy according to an embodiment of the present invention;

[0047] Figure 2 According to one embodiment of the present invention, Figure 1 A flowchart of an offline simulation method for using an AGC simulation system as shown in ;

[0048] Figure 3 According to one embodiment of the present invention, Figure 1 A flowchart of a method for using a real-time simulation of an AGC simulation system shown in ;

[0049] Figure 4 According to one embodiment of the present invention, Figure 1 Schematic diagram of the flow chart of the strategy correction method of the AGC simulation system shown in . DETAILED DESCRIPTION

[0050] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features well known in the art are not described.

[0051] In order to fully understand the present invention, a detailed structure will be presented in the following description to illustrate the present invention. Obviously, the implementation of the present invention is not limited to the specific details familiar to those skilled in the art. The preferred embodiments of the present invention are described in detail below, but in addition to these detailed descriptions, the present invention may also have other embodiments and should not be construed as being limited to the embodiments presented here.

[0052] It should be understood that the purpose of the terms used herein is only to describe specific embodiments and is not intended to limit the present invention. The singular forms "one", "an" and "said / the" are also intended to include plural forms, unless the context clearly indicates otherwise. When the terms "comprise" and / or "include" are used in this specification, they indicate the presence of the 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 combinations thereof. The terms "upper", "lower", "front", "back", "left", "right" and similar expressions used in the present invention are for illustrative purposes only and are not limiting.

[0053] Ordinal numbers such as "first" and "second" cited in the present invention are merely identifications and do not have any other meanings, such as a specific order, etc. Moreover, for example, the term "first component" itself does not imply the existence of the "second component", and the term "second component" itself does not imply the existence of the "first component".

[0054] Hereinafter, specific embodiments of the present invention will be described in more detail with reference to the accompanying drawings. These drawings show representative embodiments of the present invention and do not limit the present invention.

[0055] In one embodiment of the present invention, an AGC simulation system based on a variable strategy and a method for using the same are provided. With the AGC simulation system, after the AGC control strategy is developed, the automation maintenance personnel of the hydropower plant or the developers of the AGC control strategy can test its rationality and evaluate its scientific rationality, thus providing a basis for modifying the control strategy.

[0056] For the AGC simulation system, the main requirements are: first, the system should have complete functions, and the experimental results conducted under this system should be consistent with the actual situation; second, the functions of the system should be independent of each other and have strong scalability; third, the system needs to provide a general mathematical model to facilitate model training to obtain a model that conforms to the actual situation (applicable to all types of hydropower generators except pumped storage units).

[0057] In the prior art, most software such as MATLAB and ANSYS Fluent are used to simulate AGC and AVC strategies. On the one hand, most of these software are expensive, usually costing tens of thousands or even hundreds of thousands of dollars. On the other hand, most simulations of AGC control strategies verify their functions, but do not combine the working conditions related to power generation, such as water consumption and unit vibration. In other words, they only verify the realization of the active and reactive power distribution function, and do not consider the rationality of the strategy for power generation distribution (this rationality verification needs to be analyzed and judged from the water consumption rate and the unit vibration). The simulation results only focus on the control results of the strategy, but do not involve the mathematical model on which the strategy research and formulation rely. At the same time, in the adjustment process, the calculation of the transition process is not taken into account. This simulation mode is inconsistent with the actual adjustment process.

[0058] However, the AGC simulation system in this embodiment creatively incorporates the mathematical model of strategy research into the simulation system, which not only takes into account the allocation results, but also can incorporate the transition process in the adjustment into the evaluation of the results, which is more in line with the actual adjustment process and can effectively simulate the AGC control strategy, thereby ensuring the rationality of the verification results.

[0059] It can be understood that, in order to perform simulation verification, the AGC simulation system in this embodiment is pre-set with a simulated power plant for simulating the actual power generation of the power plant, and the simulation environment and simulation settings of the simulated power plant are exactly the same as the actual operation of the power plant. For example, the simulated power plant is provided with simulated generator sets and simulated load devices. The AGC simulation system can receive data from the power grid, generator sets, and power plant operating units, and can compare the simulation results with these data to obtain an optimized AGC control strategy.

[0060] Specifically, Figure 1 As shown, the variable strategy-based AGC simulation system in this embodiment includes: an instruction receiving module 100, a load monitoring module 200, a strategy input module 300, a data display module 400, a simulation execution module 600, a strategy optimization module 500, and a host module 800.

[0061] Among them, the instruction receiving module 100 is used to receive the grid load instructions from the power grid in real time; the load monitoring module 200 is used to monitor the real-time power generation of the generator set, and collect the real-time operating load conditions of the operating units of the power plant; the strategy input module 300 is used to receive the AGC allocation strategy that needs to be verified and simulated; the data display module 400 is used to display the real-time simulation situation and the simulation test results, and can also compare the real-time power generation situation of the generator set with the real-time simulation situation; the simulation execution module 600 can perform simulation work based on the received AGC allocation strategy and the received grid load instructions, and output the simulation test results; the strategy optimization module 500 can optimize and save the current AGC allocation strategy based on the simulation test results; the host module 800 is signal connected with the instruction receiving module 100, the load monitoring module 200, the strategy input module 300, the data display module 400, the strategy optimization module 500, and the simulation execution module 600.

[0062] In this embodiment, the host module is constructed as follows: the AGC allocation strategy from the strategy input module and the power grid load instruction received from the instruction receiving module are output to the simulation execution module, so that the simulation execution module can perform the simulation work; the real-time power generation situation and real-time operating load situation from the load monitoring module and the simulation test results from the simulation execution module are output to the data display module, so that the data display module can display the real-time simulation situation and the simulation test results; the simulation test results from the data display module and the comparison results between the real-time power generation situation of the generator set and the real-time simulation situation are output to the strategy optimization module, so that the strategy optimization module can optimize the current AGC allocation strategy.

[0063] Therefore, in actual use, the tester can first input the AGC allocation strategy that needs to be verified and simulated into the AGC simulation system. At the same time, the system can obtain the grid load instructions in the power grid, the real-time power generation of the generator sets, and the real-time operating load conditions of the operating units of the power plant. The AGC simulation system performs simulation work based on the received AGC allocation strategy and grid load instructions, and displays the simulation test results with the help of the data display module. At the same time, the simulation test results are compared with the real-time power generation of the generator sets and the real-time operating load conditions of the operating units of the power plant. The AGC simulation system can optimize the current AGC allocation strategy based on the comparison results.

[0064] Furthermore, in order to facilitate data storage and facilitate detection personnel to query simulation results, such as Figure 1As shown, the AGC simulation system in this embodiment also includes a data storage module 700, which is signal-connected to the host module 800. The data storage module 700 can store data related to the simulation work, such as the AGC allocation strategy input into the host module, simulation test results, power plant operating unit load monitoring data, strategy optimization data, etc.

[0065] In this embodiment, the host module can also output the optimized AGC allocation strategy to the simulation execution module, so that the simulation execution module can perform simulation verification again based on the optimized AGC allocation strategy.

[0066] Therefore, verification can be performed again based on the optimized AGC allocation strategy so as to obtain the optimal AGC allocation strategy.

[0067] Preferably, in order to enable the AGC simulation system to perform real-time simulation, the instruction receiving module in this embodiment can immediately transmit the real-time received power grid load instruction to the host module during real-time simulation as the load instruction for real-time simulation.

[0068] At the same time, the load monitoring module can immediately transmit the real-time power generation status of the generator set monitored in real time to the host module during real-time simulation to achieve real-time comparison.

[0069] Therefore, when performing real-time simulation, the AGC simulation system can compare the simulation results with the real-time power generation conditions of the generator sets and the real-time operating load conditions of the power plant operating units in real time to optimize the allocation strategy.

[0070] Accordingly, in order to enable the AGC simulation system to perform offline simulation, the instruction receiving module in this embodiment can store the received power grid load instructions in chronological order to form an instruction record.

[0071] At the same time, the load monitoring module can store the real-time power generation status of the monitored generator sets in chronological order.

[0072] Therefore, in the process of offline simulation, the corresponding grid load instruction can be selected according to the time period, and it can be used as the load instruction of the simulation test after selection. At the same time, the simulation test results can also be compared with the real-time power generation of the generator set in the same period to optimize the allocation strategy.

[0073] In this embodiment, a method for using the AGC simulation system based on a variable strategy is also provided.

[0074] Specifically, Figure 2 As shown, the use method in this embodiment includes an offline simulation use method, and the offline simulation use method includes:

[0075] Enter the AGC allocation strategy that needs to be verified and simulated;

[0076] Based on the actual operation of the generator set, determine the startup status of the generator set during the simulation process;

[0077] Input real-time grid load instructions;

[0078] Start to execute simulation work;

[0079] Input the actual operating conditions of the generator set;

[0080] Compare the real-time simulation with the actual operation of the generator set to obtain optimization suggestions;

[0081] Based on the optimization suggestions, optimize the current AGC allocation strategy.

[0082] Therefore, when offline simulation is required, the AGC allocation strategy that needs to be simulated and verified can be input into the simulation system. After that, based on the required test environment, the simulation environment is set, the power generation operation conditions to be simulated are set, and the start and stop conditions are selected. Finally, the simulation setting is performed, that is, the conditions to be simulated, the simulated load instruction or fixed load, etc. are selected.

[0083] However, after the simulation environment and simulation settings are completed, simulation experiments are started and the current AGC allocation strategy is optimized.

[0084] like Figure 3 As shown, the use method also includes a real-time simulation use method, and the real-time simulation use method includes:

[0085] Input the real-time grid load instruction, the actual operation status of the generator set monitored in real time, and the AGC allocation strategy that needs to be verified and simulated;

[0086] Based on the actual operation of the generator set, determine the startup status of the generator set during the simulation process;

[0087] Start to execute simulation work;

[0088] Compare the real-time simulation situation with the real-time actual operation situation of the generator set to obtain a comparison curve;

[0089] Based on the comparison curve, the simulation results are obtained and the current AGC allocation strategy is optimized.

[0090] It can be understood that real-time simulation mainly simulates the actual power generation situation of the power plant, verifies the AGC allocation strategy in real-time simulation, and draws optimization suggestions for the allocation strategy. Real-time simulation is a full simulation and real-time simulation of the actual situation of the power plant, that is, the strategy adopted by the simulation system is exactly the same as the strategy of the actual operation of the power plant, and the simulation environment and simulation settings are exactly the same as the actual operation of the power plant. During real-time simulation, the actual operation of the power plant units is monitored, and the simulation situation and the actual operation situation are displayed on the same display screen, compared, and optimization suggestions are put forward.

[0091] like Figure 4 As shown, the usage method also includes a strategy modification usage method, and the strategy modification usage method includes:

[0092] Enter the optimized AGC allocation strategy;

[0093] Perform simulation verification again based on the current simulation conditions;

[0094] Strategy optimization completed.

[0095] Therefore, the results obtained through simulation will be compared with the original actual operation results, and suggestions for optimization and modification will be put forward. The staff will optimize the AGC allocation strategy based on the suggestions. The optimized strategy can be simulated again for verification and strategy optimization can be carried out in a timely manner.

[0096] Furthermore, in the AGC simulation system of this embodiment, all simulation results and simulation optimization suggestions can be exported. You only need to select the simulation results to be exported, and then you can use an external device to export them. For example, the exported results can be exported in EXCEL format, which can export all the contents of the simulation results.

[0097] At the same time, in order to make the simulation test results sufficiently complete, the AGC simulation system in this embodiment provides statistics on the number of single-machine vibration zone crossings, historical vibration zone crossings, operating time statistics, standby time statistics, AGC strategy effect analysis (test function, providing data support for the newly designed AGC function), start-up and shutdown decision assistance and other functions in the simulation test results. Among them, the single-machine vibration zone crossing statistics separately count the number of times each unit crosses the vibration zone in a power generation cycle, and present it to the operation duty personnel in an intuitive way; in the shutdown decision, the system combines the unit operation time, unit vibration zone crossing and other factors, and calculates according to the weight coefficient (operating time weight coefficient 0.85, single-machine vibration zone crossing weight 0.15). The unit with the largest calculated value should be given priority for standby, and the result is presented to the operation duty personnel; in the startup decision, the unit with the longest standby time is selected as the priority startup. After the startup and shutdown assistance decision is updated, the content of the decision display area is refreshed (outdated decisions are deleted).

[0098] The AGC simulation system based on variable strategy in this implementation has the following advantages:

[0099] The AGC simulation system in this embodiment can perform rationality checks on the AGC allocation strategies that need to be simulated and verified. It can evaluate the scientific rationality of the AGC control strategies and provide a basis for modifying the control strategies. In essence, it provides support for the economic optimization scheduling system, which aims at the optimal economic benefits of the hydropower plant. Therefore, in terms of exceeding customer needs, this platform provides technical support for the realization of smart power plants.

[0100] Unless otherwise defined, the technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art in the technical field of the present invention. The terms used herein are only for describing specific implementation purposes and are not intended to limit the present invention. Terms such as "parts" and "pieces" appearing in this article may represent either a single part or a combination of multiple parts. Terms such as "installation" and "setting" appearing in this article may represent either a component being directly attached to another component or a component being attached to another component through an intermediate. Features described in this article in one embodiment may be applied to another embodiment alone or in combination with other features, unless the feature is not applicable in the other embodiment or otherwise specified.

[0101] The present invention has been described through the above-mentioned embodiments, but it should be understood that the above-mentioned embodiments are only for the purpose of example and description, and are not intended to limit the present invention to the scope of the described embodiments. In addition, it can be understood by those skilled in the art that the present invention is not limited to the above-mentioned embodiments, and more variations and modifications can be made according to the teachings of the present invention, and these variations and modifications all fall within the scope of the protection claimed by the present invention. The protection scope of the present invention is defined by the attached claims and their equivalents.

Claims

1. An AGC simulation system based on a variable strategy, characterized in that: The AGC simulation system comprises: An instruction receiving module, the instruction receiving module is used to receive a power grid load instruction from the power grid in real time; A load monitoring module, which is used to monitor the real-time power generation of the generator set and collect the real-time operating load conditions of the operating units of the power plant; A strategy input module, the strategy input module is used to receive the AGC allocation strategy that needs to be verified and simulated; A data display module, which is used to display the real-time simulation situation and the simulation test results, and can also compare the real-time power generation situation of the generator set with the real-time simulation situation; A simulation execution module, which can execute simulation work based on the received AGC allocation strategy and the received power grid load instruction, and output simulation test results; A strategy optimization module, wherein the strategy optimization module can optimize and save the current AGC allocation strategy based on the simulation test results; A host module, wherein the host module is signal-connected to the instruction receiving module, the load monitoring module, the strategy input module, the data display module, the strategy optimization module, and the simulation execution module; The host module is constructed as follows: outputting the AGC allocation strategy from the strategy input module and the power grid load instruction received from the instruction receiving module to the simulation execution module, so that the simulation execution module can perform simulation work; outputting the real-time power generation situation and real-time operating load situation from the load monitoring module and the simulation test results from the simulation execution module to the data display module, so that the data display module can display the real-time simulation situation and the simulation test results; outputting the simulation test results from the data display module and the comparison results between the real-time power generation situation of the generator set and the real-time simulation situation to the strategy optimization module, so that the strategy optimization module can optimize the current AGC allocation strategy.

2. The AGC simulation system based on variable strategy according to claim 1, characterized in that: The AGC simulation system further comprises a data storage module, which is signal-connected to the host module and can store data related to the simulation work.

3. The AGC simulation system based on variable strategy according to claim 1, characterized in that: The host module can output the optimized AGC allocation strategy to the simulation execution module, so that the simulation execution module can perform simulation verification again based on the optimized AGC allocation strategy.

4. The AGC simulation system based on variable strategy according to claim 1, characterized in that: The instruction receiving module can immediately transmit the power grid load instruction received in real time to the host module during real-time simulation as a load instruction for real-time simulation.

5. The AGC simulation system based on variable strategy according to claim 1, characterized in that: The load monitoring module can immediately transmit the real-time power generation status of the generator set monitored in real time to the host module during real-time simulation to achieve real-time comparison.

6. The AGC simulation system based on variable strategy according to claim 1, characterized in that: The instruction receiving module can store the received power grid load instructions in chronological order to form an instruction record.

7. The AGC simulation system based on variable strategy according to claim 1, characterized in that: The load monitoring module can store the real-time power generation status of the monitored generator set in chronological order.

8. A method of use, the method of use being used for the AGC simulation system based on variable strategy according to any one of claims 1 to 7, characterized in that: The method of use includes an offline simulation method of use, and the offline simulation method of use includes: Enter the AGC allocation strategy that needs to be verified and simulated; Based on the actual operation of the generator set, determine the startup status of the generator set during the simulation process; Input real-time grid load instructions; Start to execute simulation work; Input the actual operating conditions of the generator set; Compare the real-time simulation with the actual operation of the generator set to obtain optimization suggestions; Based on the optimization suggestions, optimize the current AGC allocation strategy.

9. The method of use according to claim 8, characterized in that: The use method also includes a real-time simulation use method, and the real-time simulation use method includes: Input the real-time grid load instruction, the actual operation status of the generator set monitored in real time, and the AGC allocation strategy that needs to be verified and simulated; Based on the actual operation of the generator set, determine the startup status of the generator set during the simulation process; Start to execute simulation work; Compare the real-time simulation situation with the real-time actual operation situation of the generator set to obtain a comparison curve; Based on the comparison curve, the simulation results are obtained and the current AGC allocation strategy is optimized.

10. The method of use according to claim 8 or 9, characterized in that: The method of use also includes a strategy modification method of use, and the strategy modification method of use includes: Enter the optimized AGC allocation strategy; Perform simulation verification again based on the current simulation conditions; Strategy optimization completed.

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