Frequency modulation method, system and equipment for hydraulic power plant and storage medium

Abstract

The invention belongs to the field of hydroelectric generation, and particularly relates to a hydraulic power plant frequency modulation method, system and device and a storage medium. The method comprises the steps that future possible load fluctuation of a hydraulic power plant is predicted according to current actual output of a hydroelectric generating set, a received dispatching instruction and external environment data; the method comprises the following steps: acquiring a future load fluctuation degree and an adjustment range of a hydraulic power plant, determining a frequency modulation state of frequency modulation equipment during frequency modulation according to actual output of the hydraulic power plant and the predicted load fluctuation degree and adjustment range, and performing frequency modulation on a received AGC instruction according to the frequency modulation state. The future load fluctuation of the hydraulic power plant is predicted in advance, the energy storage system is preferentially adopted for adjustment within the adjustment range of the energy storage system, if the load fluctuation is out of the adjustment range of the energy storage system, the hydroelectric generating set is adopted for small-range adjustment, then the energy storage system is adopted for adjustment, the adjustment mileage of the hydroelectric generating set is reduced, and the response speed and efficiency of the system are improved. Energy waste is reduced, and mechanical abrasion is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of hydropower generation, and in particular relates to a frequency modulation method, system, equipment and storage medium for a hydropower plant. Background Art

[0002] Automatic generation control (AGC) is to maintain the frequency stability of the power system by adjusting the power generation of the frequency modulation unit. Energy storage combined with frequency modulation has effectively improved the AGC regulation speed of the unit and further met the needs of grid dispatching. As an important force in AGC frequency regulation, hydropower plants have the characteristics of frequent regulation, large frequency regulation mileage and high regulation speed.

[0003] In the related art, frequency regulation of a hydropower plant usually involves receiving frequency regulation instructions, and controlling the hydropower units and energy storage system of the hydropower plant to perform frequency regulation according to the received frequency regulation instructions.

[0004] Regarding the above-mentioned related technologies, during the frequency modulation process, there are frequent and large-scale adjustments to the hydropower units, which may cause frequent failures of the power generation equipment and have a huge impact on the safe and stable operation of the power generation equipment. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method for reducing the mileage of hydropower plant regulation, improving the response speed and efficiency of the system, reducing energy waste and reducing mechanical wear by predicting possible changes in the future.

[0006] A frequency regulation method for a hydropower plant, comprising:

[0007] Obtain the actual current output of the hydropower unit, the received AGC dispatching instructions and external environmental data;

[0008] Input the actual output of the hydropower unit, the received AGC dispatching instructions and the external environment data into the instruction prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant;

[0009] According to the received AGC dispatching instructions, the theoretical output of the hydropower unit that needs to be dispatched is obtained;

[0010] Determine the frequency regulation state of the equipment according to the theoretical output, the actual output, the load fluctuation degree and the regulation range, wherein the frequency regulation state includes the regulation mileage of the hydropower unit and the charge and discharge state of the energy storage system, wherein the charge and discharge state is charging or discharging;

[0011] According to the frequency modulation state, the AGC instruction received by the hydropower plant is frequency modulated.

[0012] Optionally, the external environment data includes season data and power demand data.

[0013] Optionally, the current actual output of the hydropower unit, the received AGC dispatching instruction and the external environment data are input into the instruction prediction system to predict the future load fluctuation degree and adjustment range of the hydropower plant, including:

[0014] Obtain historical AGC dispatching instructions and the historical output of the hydropower units and energy storage systems corresponding to the historical AGC dispatching instructions;

[0015] According to the historical AGC dispatching instructions, the historical output of the hydropower units and the energy storage system, and the historical external environment data, the instruction prediction system is trained to obtain an optimized prediction system;

[0016] The actual current output of the hydropower unit, the received AGC dispatching instructions and the external environmental data are input into the optimization prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

[0017] Optionally, determining the frequency regulation state of the device according to the theoretical output, the actual output, the load fluctuation degree, and the regulation range includes:

[0018] The load fluctuation includes violent fluctuation and general fluctuation, and the adjustment range includes small-range adjustment and large-range adjustment. The small-range adjustment is an adjustment that does not exceed the shallow charging and discharging range of the energy storage system, and the large-range adjustment is an adjustment that exceeds the shallow charging and discharging range of the energy storage system.

[0019] Determining whether the actual output is lower than the theoretical output;

[0020] If the actual output is lower than the theoretical output, determining whether the load fluctuation is a severe fluctuation;

[0021] If the load fluctuation is not a severe fluctuation, determining whether the adjustment range is a small range adjustment or a large range adjustment;

[0022] If the adjustment range is a small range adjustment, the energy storage system discharges and feeds electric energy, and the hydropower unit remains unchanged;

[0023] If the adjustment range is a large range adjustment, the hydropower unit is first used for small range pre-adjustment, and then the energy storage system discharges and feeds electric energy.

[0024] Optionally, if the load fluctuation is severe, a small-scale pre-regulation is performed by using a hydroelectric unit and a residual regulation difference is calculated;

[0025] The remaining adjustment difference is adjusted by discharging the energy storage system.

[0026] Optionally, if the actual output is greater than or equal to the theoretical output, determining whether the load fluctuation is a severe fluctuation;

[0027] If the load fluctuation is severe, a small range pre-regulation of the hydropower unit is adopted, and the remaining regulation difference is calculated;

[0028] The energy storage system charges and adjusts the remaining difference;

[0029] If the load fluctuation is not a severe fluctuation, determining whether the adjustment range is a small range adjustment or a large range adjustment;

[0030] If the adjustment range is a large range adjustment, the hydropower unit is first used for small range pre-adjustment, and then the energy storage system is charged to absorb electrical energy;

[0031] If the adjustment range is a small range adjustment, the energy storage system is charged to absorb electrical energy.

[0032] A frequency regulation system for a hydropower plant, comprising:

[0033] The acquisition module is used to obtain the actual output of the hydropower unit, the received AGC dispatching instructions and external environmental data;

[0034] The prediction module is used to input the actual output of the hydropower unit, the received AGC dispatching instructions and the external environment data into the instruction prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant;

[0035] A calculation module is used to obtain the theoretical output of the hydropower unit that needs to be dispatched currently according to the received AGC dispatch instruction;

[0036] A selection module is used to determine the frequency regulation state of the equipment according to the theoretical output, the actual output, the load fluctuation degree and the regulation range, wherein the frequency regulation state includes the regulation mileage of the hydropower unit and the charge and discharge state of the energy storage system, wherein the charge and discharge state is charging or discharging;

[0037] The frequency modulation module is used to modulate the frequency of the AGC instruction received by the hydropower plant according to the frequency modulation state.

[0038] Optionally, the prediction module includes:

[0039] An acquisition unit, used for acquiring historical AGC dispatching instructions and historical outputs of hydropower units and energy storage systems corresponding to the historical AGC dispatching instructions;

[0040] An optimization unit, used to train the instruction prediction system according to the historical AGC dispatching instructions, the historical output of the hydropower unit and the energy storage system, and the historical external environment data to obtain an optimized prediction system;

[0041] The prediction unit is used to input the current actual output of the hydropower unit, the received AGC dispatching instructions and the external environmental data into the optimization prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

[0042] The content of the present invention includes a terminal device, including a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor loads and executes the computer program, a hydropower plant frequency modulation method is adopted.

[0043] A computer-readable storage medium stores a computer program. When the computer program is loaded and executed by a processor, a frequency modulation method of a hydropower plant is adopted.

[0044] The beneficial effects of the present invention are:

[0045] According to the actual output of the hydropower unit, the received dispatching instructions and the external environmental data, the possible future load fluctuation of the hydropower plant is predicted to obtain the future load fluctuation degree and adjustment range of the hydropower plant. Then, according to the actual output of the hydropower plant and the predicted load fluctuation degree and adjustment range, the frequency modulation state of the frequency modulation equipment is determined during frequency modulation, and then the received AGC instructions are adjusted according to the frequency modulation state. By predicting the future load fluctuation of the hydropower plant in advance, the energy storage system is preferentially used within the adjustment range of the energy storage system. If it is outside the adjustment range of the energy storage system, the hydropower unit is first adjusted in a small range, and then the energy storage system is used for adjustment, which reduces the adjustment mileage of the hydropower unit, improves the response speed and efficiency of the system, reduces energy waste, and reduces mechanical wear. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 The figure is a flow chart of a frequency modulation method for a hydropower plant according to the present invention. DETAILED DESCRIPTION

[0047] A frequency regulation method for a hydropower plant, such as Figure 1 As shown, the present invention includes:

[0048] S100, obtaining the actual current output of the hydropower unit, the received AGC dispatching instruction and the external environment data.

[0049] Specifically, the actual output of the hydropower unit is the electrical output generated by the hydropower unit within a certain period of time, usually expressed in kilowatts (kW) or megawatts (MW). The AGC dispatch instruction is the instruction sent by the AGC (autonomous generation control) to the hydropower unit to adjust the frequency by changing the power generation. External environmental data includes seasonal data and power demand data. Seasonal data affects hydropower generation, while power demand data affects load.

[0050] In this application, when frequency modulation is performed, the AGC state of the unit needs to be in automatic operation state. The AGC state of the unit includes automatic operation state and manual state. In the manual state, it is manually operated. Therefore, automatic frequency modulation can only be achieved when it is in automatic operation state.

[0051] S110, inputting the actual current output of the hydropower unit, the received AGC dispatching command and the external environment data into the command prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

[0052] Specifically, the output of the hydropower unit plus the output of the energy storage system is the output of the hydropower plant. In theory, the output of the hydropower plant needs to be equal to the output of the received AGC dispatch instruction.

[0053] Severe fluctuation is defined as the difference between actual output and predicted output exceeding ±15%. Normal fluctuation is defined as the difference between actual output and predicted output within ±15%.

[0054] Large-range regulation: The actual output exceeds the shallow charging and discharging range of the energy storage system (the regulation mileage exceeds 40%-80% of the energy storage system capacity).

[0055] Small range regulation: The actual output does not exceed the shallow charging and discharging range of the energy storage system (the regulation mileage is within 40%-80% of the energy storage system capacity).

[0056] Specifically, by predicting future load changes, the regulation frequency of the hydropower units can be reduced as much as possible and their service life can be extended.

[0057] The actual output of the hydropower unit, the received AGC dispatching instructions and the external environment data are input into the instruction prediction system to predict the future load fluctuation degree and adjustment range of the hydropower plant, including:

[0058] S1100 , obtaining historical AGC dispatching instructions and historical outputs of the hydropower units and energy storage systems corresponding to the historical AGC dispatching instructions.

[0059] Specifically, the historical AGC dispatching instructions and historical AGC dispatching instructions obtained are preferably data from the same hydropower station. The data from the same hydropower station are mostly similar due to the external environment and frequency fluctuations. Data from other hydropower stations can also be used for training to obtain the changing rules of load fluctuation degree and regulation range.

[0060] S1110, training the instruction prediction system according to historical AGC dispatching instructions, historical output of the hydropower units and the energy storage system, and historical external environment data to obtain an optimized prediction system.

[0061] Specifically, the core function of the instruction prediction system is to predict the future AGC instructions of the power grid through a comprehensive analysis of the current AGC instructions of the power grid, the historical AGC instructions, and the current and historical output conditions of the hydropower units and energy storage systems, so as to give early warning output instructions for the hydropower units and energy storage systems. The prediction process first conducts in-depth analysis from a large amount of historical and real-time data, including real-time power grid AGC instructions, the current output status of the hydropower units and energy storage systems, and their historical response records to different load and frequency regulation requirements. These data provide an important basis for predicting future AGC instructions. The system can identify small-scale regulation requirements that occur frequently and do not exceed the regulation range of the energy storage system, small-scale regulation requirements that occur frequently and exceed the regulation range of the energy storage system, and occasional large-scale regulation requirements by analyzing the fluctuations and changing trends of load demand. In addition, the system will also take into account other external factors closely related to the operation of the power grid, such as fluctuations in the power market, the impact of changing weather conditions on the output of renewable energy such as wind power and photovoltaic power generation, and changes in daily or seasonal data power demand.

[0062] Based on these data, the prediction system models the changes in AGC instructions by using advanced algorithm models. Through the model, the system can identify patterns in historical AGC instructions and predict the frequency regulation needs of the power grid in the future. The time series analysis models ARIMA and SARIMA can identify periodic load changes, and deep learning models such as long short-term memory (LSTM) or gated recurrent unit (GRU) can capture the complex dynamic changes in power grid frequency regulation. These models will combine the actual response capabilities of hydropower units and energy storage systems for comprehensive predictions to determine whether they can effectively respond to AGC instructions in the future or whether output adjustments are needed in advance.

[0063] In addition, during actual operation, the system will continuously monitor the real-time status of the power grid and the actual output of the hydropower units and energy storage system, and continuously optimize the parameters of the prediction model based on new data. Through such adaptive adjustments, the prediction system can achieve higher response accuracy and efficiency in power grid regulation, ensuring that the hydropower units and energy storage system can better coordinate operations when facing future load regulation needs.

[0064] S1120, input the actual current output of the hydropower unit, the received AGC dispatching instructions and the external environmental data into the optimization prediction system, and predict the future load fluctuation degree and regulation range of the hydropower plant.

[0065] S120. Obtain the theoretical output of the hydropower unit that currently needs to be dispatched according to the received AGC dispatching instruction.

[0066] S130. Determine the frequency regulation state of the equipment according to the theoretical output, the actual output, the load fluctuation degree and the regulation range. The frequency regulation state includes the regulation mileage of the hydropower unit and the charge and discharge state of the energy storage system. The charge and discharge state is charging or discharging.

[0067] Determine the frequency regulation status of the equipment based on the theoretical output, actual output, load fluctuation degree and regulation range, including:

[0068] The degree of load fluctuation includes violent fluctuation and general fluctuation. The adjustment range includes small-range adjustment and large-range adjustment. Small-range adjustment is adjustment that does not exceed the shallow charging and discharging range of the energy storage system. Large-range adjustment is adjustment that exceeds the shallow charging and discharging range of the energy storage system.

[0069] Specifically, the load fluctuation degree refers to the change range of the load within a certain period of time. Depending on the power generation of the hydropower plant, the judgment criteria for violent fluctuations and general fluctuations are different. For example, 20% is considered a violent fluctuation if it exceeds 20%, and a general fluctuation if it is less than 20%. The shallow charge and discharge range of the energy storage system refers to the energy range used by the battery or energy storage device during the charging and discharging process, which usually does not reach its maximum power limit. This operation mode helps to extend the service life of the battery and maintain its performance.

[0070] Specifically, the theoretical output is the output required by the AGC dispatch instruction, and the actual output is the current output of the hydropower unit.

[0071] Determine whether the actual output is lower than the theoretical output.

[0072] If the actual output is lower than the theoretical output, determine whether the load fluctuation is severe.

[0073] If the load fluctuation is not drastic, it is determined that the adjustment range is small range adjustment or large range adjustment.

[0074] If the adjustment range is a small range adjustment, the energy storage system discharges and feeds electric energy, and the hydropower unit remains unchanged.

[0075] If the adjustment range is a large range adjustment, first use the hydropower unit for small range pre-adjustment, and then the energy storage system discharges and feeds electric energy.

[0076] Specifically, the small range and adjustment are between 40% and 80% of the energy storage system, that is, the charging is up to 80% of the battery capacity, and the discharging is up to 40% of the battery capacity. Exceeding this range is large range adjustment.

[0077] If the load fluctuation is severe, the hydropower unit is used for small-scale pre-regulation and the remaining regulation difference is calculated.

[0078] The energy storage system discharge is used to adjust the remaining adjustment difference.

[0079] If the actual output is greater than or equal to the theoretical output, it is determined whether the load fluctuation is a severe fluctuation.

[0080] If the load fluctuation is severe, a small-scale pre-regulation of the hydropower unit is adopted, and the remaining regulation difference is calculated.

[0081] The energy storage system charges and regulates the remaining difference.

[0082] If the load fluctuation is not drastic, it is determined that the adjustment range is small range adjustment or large range adjustment.

[0083] If the adjustment range is a large range adjustment, the hydropower unit is first used for small range pre-adjustment, and then the energy storage system is charged to absorb electrical energy.

[0084] If the adjustment range is a small range adjustment, the energy storage system charges and absorbs electrical energy.

[0085] Specifically, when frequency modulation is performed, in order to reduce the regulation mileage of the hydropower unit, when the energy storage system can be used for regulation, priority is given to using the energy storage system for regulation. If the energy storage system cannot be adjusted, first use the hydropower unit for small-scale pre-adjustment to adjust it to the range that the energy storage system can adjust, and then use the energy storage system for adjustment to reduce the regulation mileage of the hydropower unit as much as possible, reduce the wear of the hydropower unit, and extend its service life.

[0086] S140. According to the frequency modulation state, the AGC instruction received by the hydropower plant is frequency modulated.

[0087] A frequency regulation system for a hydropower plant, comprising:

[0088] The acquisition module is used to obtain the current actual output of the hydropower unit, the received AGC dispatching instructions and external environmental data.

[0089] The prediction module is used to input the current actual output of the hydropower unit, the received AGC dispatching instructions and the external environmental data into the instruction prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

[0090] The calculation module is used to obtain the theoretical output of the hydropower unit that currently needs to be dispatched according to the received AGC dispatching instruction.

[0091] The selection module is used to determine the frequency regulation state of the equipment according to the theoretical output, actual output, load fluctuation degree and regulation range. The frequency regulation state includes the regulation mileage of the hydropower unit and the charging and discharging state of the energy storage system. The charging and discharging state is charging or discharging.

[0092] The frequency modulation module is used for the frequency modulation state to modulate the frequency of the AGC instructions received by the hydropower plant.

[0093] The prediction module includes:

[0094] The acquisition unit is used to acquire historical AGC dispatching instructions and historical outputs of the hydropower units and energy storage systems corresponding to the historical AGC dispatching instructions.

[0095] The optimization unit is used to train the instruction prediction system according to the historical AGC dispatching instructions, the historical output of the hydropower units and the energy storage system, and the historical external environment data to obtain an optimized prediction system.

[0096] The prediction unit is used to input the current actual output of the hydropower unit, the received AGC dispatching instructions and the external environmental data into the optimization prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

[0097] The embodiment of the present application also discloses a terminal device, including a memory and a processor. The memory stores a computer program that can be run on the processor. When the processor loads and executes the computer program, a hydropower plant frequency modulation method is adopted.

[0098] The terminal device may be a computer device such as a desktop computer, a laptop computer or a cloud server, and the terminal device includes but is not limited to a processor and a memory. For example, the terminal device may also include input and output devices, a network access device and a bus.

[0099] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0100] Among them, the memory can be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device, or it can be an external storage device of the terminal device, such as a plug-in hard disk, a smart memory card (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, etc., and the memory can also be a combination of an internal storage unit and an external storage device of the terminal device. The memory is used to store computer programs and other programs and data required by the terminal device. The memory can also be used to temporarily store data that has been output or is to be output, and this application does not impose any restrictions on this.

[0101] Among them, through this terminal device, a hydropower plant frequency modulation method in the above embodiment is stored in the memory of the terminal device, and is loaded and executed on the processor of the terminal device for easy use.

[0102] The embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, a hydropower plant frequency regulation method in the above embodiment is adopted.

[0103] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the computer-readable medium includes but is not limited to the above-mentioned components.

[0104] Among them, through this computer-readable storage medium, a hydropower plant frequency modulation method in the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0105] A person skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of protection of the present application is limited to these examples. In line with the concept of the present application, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present application as above, which are not provided in detail for the sake of simplicity.

[0106] One or more embodiments of the present application are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the present application. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present application should be included in the protection scope of the present application.

Claims

1. A frequency modulation method for a hydropower plant, characterized in that: include: Obtain the actual current output of the hydropower unit, the received AGC dispatching instructions and external environmental data; Input the actual output of the hydropower unit, the received AGC dispatching instructions and the external environment data into the instruction prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant; According to the received AGC dispatching instruction, the theoretical output of the hydropower unit that needs to be dispatched is obtained; Determine the frequency regulation state of the equipment according to the theoretical output, the actual output, the load fluctuation degree and the regulation range, wherein the frequency regulation state includes the regulation mileage of the hydropower unit and the charge and discharge state of the energy storage system, wherein the charge and discharge state is charging or discharging; According to the frequency modulation state, the AGC instruction received by the hydropower plant is frequency modulated.

2. A frequency modulation method for a hydropower plant as claimed in claim 1, characterized in that: The external environment data includes season data and power demand data.

3. A frequency modulation method for a hydropower plant as claimed in claim 1, characterized in that: The actual output of the hydropower unit, the received AGC dispatching command and the external environment data are input into the command prediction system to predict the future load fluctuation degree and adjustment range of the hydropower plant, including: Obtain historical AGC dispatching instructions and the historical output of the hydropower units and energy storage systems corresponding to the historical AGC dispatching instructions; According to the historical AGC dispatching instructions, the historical output of the hydropower units and the energy storage system, and the historical external environment data, the instruction prediction system is trained to obtain an optimized prediction system; The actual current output of the hydropower unit, the received AGC dispatching instructions and the external environmental data are input into the optimization prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

4. A frequency modulation method for a hydropower plant as claimed in claim 1, characterized in that: Determining the frequency regulation state of the equipment according to the theoretical output, the actual output, the load fluctuation degree and the regulation range includes: The load fluctuation degree includes severe fluctuation and general fluctuation, and the adjustment range includes small-range adjustment and large-range adjustment. The small-range adjustment is an adjustment that does not exceed the shallow charging and discharging range of the energy storage system, and the large-range adjustment is an adjustment that exceeds the shallow charging and discharging range of the energy storage system. Determining whether the actual output is lower than the theoretical output; If the actual output is lower than the theoretical output, determining whether the load fluctuation is a severe fluctuation; If the load fluctuation is not a severe fluctuation, determining whether the adjustment range is a small range adjustment or a large range adjustment; If the adjustment range is a small range adjustment, the energy storage system discharges and feeds electric energy, and the hydropower unit remains unchanged; If the adjustment range is a large range adjustment, the hydropower unit is first used for small range pre-adjustment, and then the energy storage system discharges and feeds electric energy.

5. A frequency modulation method for a hydropower plant as claimed in claim 4, characterized in that: If the load fluctuation is severe, a small range pre-regulation is performed using the hydroelectric unit and the remaining regulation difference is calculated; The remaining adjustment difference is adjusted by discharging the energy storage system.

6. A frequency modulation method for a hydropower plant as claimed in claim 4, characterized in that: If the actual output is greater than or equal to the theoretical output, determining whether the load fluctuation is a severe fluctuation; If the load fluctuation is severe, a small range pre-regulation of the hydropower unit is adopted, and the remaining regulation difference is calculated; The energy storage system charges and adjusts the remaining difference; If the load fluctuation is not a severe fluctuation, determining whether the adjustment range is a small range adjustment or a large range adjustment; If the adjustment range is a large range adjustment, the hydropower unit is first used for small range pre-adjustment, and then the energy storage system is charged to absorb electrical energy; If the adjustment range is a small range adjustment, the energy storage system is charged to absorb electrical energy.

7. A frequency modulation system for a hydropower plant, characterized in that: include: The acquisition module is used to obtain the actual output of the hydropower unit, the received AGC dispatching instructions and external environmental data; The prediction module is used to input the actual output of the hydropower unit, the received AGC dispatching instructions and the external environment data into the instruction prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant; A calculation module is used to obtain the theoretical output of the hydropower unit that needs to be dispatched currently according to the received AGC dispatch instruction; A selection module is used to determine the frequency regulation state of the equipment according to the theoretical output, the actual output, the load fluctuation degree and the regulation range, wherein the frequency regulation state includes the regulation mileage of the hydropower unit and the charge and discharge state of the energy storage system, wherein the charge and discharge state is charging or discharging; The frequency modulation module is used to modulate the frequency of the AGC instruction received by the hydropower plant according to the frequency modulation state.

8. A frequency modulation system for a hydropower plant as claimed in claim 7, characterized in that: The prediction module comprises: An acquisition unit, used for acquiring historical AGC dispatching instructions and historical outputs of hydropower units and energy storage systems corresponding to the historical AGC dispatching instructions; An optimization unit, used to train the instruction prediction system according to the historical AGC dispatching instructions, the historical output of the hydropower unit and the energy storage system, and the historical external environment data to obtain an optimized prediction system; The prediction unit is used to input the current actual output of the hydropower unit, the received AGC dispatching instructions and the external environmental data into the optimization prediction system to predict the future load fluctuation degree and regulation range of the hydropower plant.

9. A terminal device, comprising a memory and a processor, characterized in that: The memory stores a computer program that can be run on the processor. When the processor loads and executes the computer program, the frequency modulation method according to any one of claims 1 to 7 is adopted.

10. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by a processor, the frequency modulation method according to any one of claims 1 to 7 is adopted.

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