Control method of solar power plant and related device

Abstract

The invention discloses a control method of a solar power plant and a related device, and relates to the technical field of electric energy conversion, and the solar power plant comprises a controller, solar power generation equipment, a water release valve, a water storage pool, a generator and a photovoltaic standby battery. According to the method, the historical power generation data, the historical power consumption data, the historical weather forecast and the future weather forecast are combined, and various factors influencing the solar power generation quantity and the power consumption are fully considered, so that the prediction accuracy and reliability are improved. According to the scheme, when the situation of insufficient power supply possibly occurs in the future based on the prediction result, the water stored in the water storage tank is utilized to generate power and the power is stored in the photovoltaic standby battery, so that when the power supply is insufficient subsequently, the power can be supplied to the local power grid timely and stably by utilizing the timeliness and the stability of the output electric energy of the photovoltaic standby battery, and the power supply efficiency is improved. Therefore, the power generation insufficiency of solar power generation equipment is made up, and the power demand of a local power grid is met.

Description

Technical Field

[0001] This application relates to the technical field of power conversion, and in particular to a control method and related device for a solar power plant. Background Art

[0002] With the continuous development of renewable energy technologies, solar power generation, as a clean and environmentally friendly power generation method, has been widely used in various regions around the world.

[0003] A solar power plant can supply power to the local power grid. However, during the actual operation of a solar power plant, the power generation of solar power generation equipment often fluctuates, and at the same time, the electricity consumption at the location of the solar power plant is uncertain, which makes it often impossible for the solar power plant to meet the electricity demand of the local power grid. Summary of the Invention

[0004] In view of the above problems, this application provides a control method and related device for a solar power plant. In order to enable the solar power plant to meet the electricity demand of the local power grid, the solution is as follows:

[0005] In the first aspect of this application, a control method for a solar power plant is provided. The solar power generation system in the solar power plant includes: a controller, solar power generation equipment, a water release valve, a water storage tank, a generator, and a photovoltaic backup battery. The controller is respectively connected to the solar power generation equipment, the water release valve, and the generator, and the generator is connected to the photovoltaic backup battery;

[0006] The controller predicts the power generation of the solar power generation equipment in the future time period and the electricity consumption at the location of the solar power plant in the future time period based on the historical power generation data of the solar power generation equipment, the historical electricity consumption data at the location of the solar power plant, the historical weather forecast at the location of the solar power plant, and the weather forecast at the location of the solar power plant in a preset future time period;

[0007] The controller determines whether the electricity consumption at the location of the solar power plant in the future time period is greater than the power generation of the solar power generation equipment in the future time period;

[0008] If the electricity consumption at the location of the solar power plant in the future time period is greater than the power generation of the solar power generation equipment in the future time period, the controller controls the water flow rate and water flow velocity of the water in the water storage tank by adjusting the opening of the water release valve, and uses the water with the water flow rate and water flow velocity to drive the generator, so that the generator charges the photovoltaic backup battery.

[0009] In a possible implementation, the system further includes an electric water pump, and the electric water pump is respectively connected to the controller and the photovoltaic backup battery;

[0010] After the controller determines whether the electricity consumption of the location of the solar power plant in the future time period is greater than the electricity generation amount of the solar power generation device in the future time period, the method further includes:

[0011] If the electricity consumption of the location of the solar power plant in the future time period is not greater than the electricity generation amount of the solar power generation device in the future time period, the controller controls the electric water pump to pump water into the water storage tank by using a preset proportion of the electric energy in the photovoltaic backup battery.

[0012] In a possible implementation, the controller predicts the electricity generation amount of the solar power generation device in the future time period and the electricity consumption of the location of the solar power plant in the future time period based on the historical electricity generation data of the solar power generation device, the historical electricity consumption data of the location of the solar power plant, the historical weather forecast of the location of the solar power plant, and the weather forecast of the location of the solar power plant in a preset future time period, including:

[0013] For each historical weather forecast of the location of the solar power plant, the controller uses the timestamp exact matching technology to align the historical weather forecast of the location of the solar power plant with the historical electricity generation data of the solar power generation device and the historical electricity consumption data of the location of the solar power plant respectively, so as to obtain the historical electricity generation data of the solar power generation device under the historical weather forecast and the historical electricity consumption data of the location of the solar power plant under the historical weather forecast;

[0014] The controller inputs the historical electricity generation data of the solar power generation device under the historical weather forecast, the historical electricity consumption data of the location of the solar power plant under the historical weather forecast, and the weather forecast of the location of the solar power plant in the future time period into a pre-set dual-channel prediction model, and obtains the electricity generation amount of the solar power generation device in the future time period output by the first channel in the dual-channel prediction model and the electricity consumption of the location of the solar power plant in the future time period output by the second channel in the dual-channel prediction model.

[0015] In a possible implementation, the training process of the dual-channel prediction model includes:

[0016] The controller obtains a plurality of first training samples with first annotation information, where the first annotation information includes the power generation amount of the solar power generation device in the future time period. Each first training sample includes the historical power generation data of the solar power generation device under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period;

[0017] The controller obtains a plurality of second training samples with second annotation information, where the second annotation information includes the electricity consumption of the location of the solar power plant in the future time period. Each second training sample includes the historical electricity consumption data of the location of the solar power plant under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period;

[0018] The controller trains an initial prediction model based on the plurality of first training samples and the plurality of second training samples to obtain the dual-channel prediction model. The input of the first channel in the dual-channel prediction model is the historical power generation data of the solar power generation device under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period. The input of the second channel in the dual-channel prediction model is the historical electricity consumption data of the location of the solar power plant under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period. The output of the first channel in the dual-channel prediction model is the power generation amount of the solar power generation device in the future time period. The output of the second channel in the dual-channel prediction model is the electricity consumption of the location of the solar power plant in the future time period.

[0019] In a possible implementation, the system further includes: a water turbine and a flywheel device. The water turbine is connected to the flywheel device. The controller is respectively connected to the water turbine and the flywheel device. The flywheel device is connected to the generator;

[0020] The controller controls the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and uses the water in the water storage tank to drive the generator, so that the generator charges the photovoltaic backup battery, including:

[0021] The controller controls the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and uses the water in the water storage tank to drive the water turbine to rotate, so that the water turbine drives the flywheel device to rotate through the gear of the water turbine;

[0022] The controller adjusts the rotation speed of the flywheel device so that the flywheel device drives the generator at the rotation speed, and further enables the generator to charge the photovoltaic backup battery.

[0023] In a possible implementation, the system further includes: an energy interaction device, the controller is connected to the energy interaction device, and the energy interaction device is connected to the generator;

[0024] After the controller adjusts the rotation speed of the tourbillon device so that the tourbillon device drives the generator at the rotation speed, and further enables the generator to charge the photovoltaic backup battery, the method further includes:

[0025] The controller obtains the power supply data of the generator and the power consumption data of the photovoltaic backup battery;

[0026] The controller determines whether the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery;

[0027] If the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery, the controller calculates the excess electric energy of the generator based on the power supply data of the generator and the power consumption data of the photovoltaic backup battery, and transmits the excess electric energy of the generator to the energy interaction device, so that the energy interaction device distributes the excess electric energy of the generator.

[0028] In a possible implementation, the system further includes: an energy backup battery, and the energy interaction device is connected to the energy backup battery;

[0029] The controller transmits the excess electric energy of the generator to the energy interaction device, so that the energy interaction device distributes the excess electric energy of the generator, including:

[0030] The controller transmits the excess electric energy of the generator to the energy interaction device, so that the energy interaction device stores the excess electric energy of the generator in the energy backup battery.

[0031] A control system of a solar power plant provided in the second aspect of the present application includes: a controller, a solar power generation device, a water release valve, a water storage tank, a generator, and a photovoltaic backup battery. The controller is respectively connected to the solar power generation device, the water release valve, and the generator, and the generator is connected to the photovoltaic backup battery;

[0032] The controller is configured to predict the power generation amount of the solar power generation device in the future time period and the power consumption amount of the location of the solar power plant in the future time period based on the historical power generation data of the solar power generation device, the historical power consumption data of the location of the solar power plant, the historical weather forecast of the location of the solar power plant, and the weather forecast of the location of the solar power plant in a preset future time period;

[0033] The controller is further configured to determine whether the power consumption at the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation device in the future time period;

[0034] If the power consumption at the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation device in the future time period, the controller is further configured to control the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and drive the generator with the water having the water flow rate and the water velocity, so that the generator charges the photovoltaic backup battery.

[0035] A third aspect of the present application provides a computer program product, including computer-readable instructions, which, when running on an electronic device, enable the electronic device to implement the control method of the solar power plant according to the first aspect or any implementation manner of the first aspect.

[0036] A fourth aspect of the present application provides a computer storage medium, which carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, can enable the electronic device to implement the control method of the solar power plant according to the first aspect or any implementation manner of the first aspect.

[0037] By means of the above technical solutions, a control method and related device for a solar power plant provided by the present application. The solar power plant includes: a controller, a solar power generation device, a water release valve, a water storage tank, a generator, and a photovoltaic backup battery. The method combines historical power generation data, historical power consumption data, historical weather forecasts, and future weather forecasts, fully considering various factors affecting solar power generation and power consumption, thereby improving the accuracy and reliability of prediction. When the prediction result indicates that there may be a power supply shortage in the future, this solution will use the water stored in the water storage tank to generate electricity and store it in the photovoltaic backup battery. In this way, when a power supply shortage occurs subsequently, the timeliness and stability of the photovoltaic backup battery outputting electric energy can be utilized to supply power to the local power grid in a timely and stable manner, so as to make up for the insufficient power generation of the solar power generation device, and further meet the power consumption requirements of the local power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In combination with the drawings and referring to the following specific embodiments, the above and other features, advantages, and aspects of the various embodiments of the present disclosure will become more obvious. Throughout the drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic, and the original elements and elements are not necessarily drawn to scale.

[0039] Figure 1 It is a schematic flow chart of a control method for a solar power plant provided by an embodiment of the present application;

[0040] Figure 2 Schematic diagram of a control system for a solar power plant provided by an embodiment of the present application;

[0041] Figure 3 Flow schematic diagram of a method for distributing surplus electric energy of a generator provided by an embodiment of the present application. Detailed implementation manners

[0042] The embodiments of the present application will be described below in conjunction with the accompanying drawings in the embodiments of the present application. The terms used in the implementation manners part of the present application are only used to explain the specific embodiments of the present application, rather than aiming to limit the present application.

[0043] The embodiments of the present application will be described below in conjunction with the accompanying drawings. Those skilled in the art know that with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

[0044] The terms "first", "second", etc. in the description and claims of the present application and the above accompanying drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such terms can be interchanged under appropriate circumstances, which is only a way of distinguishing objects with the same attributes when describing the embodiments of the present application. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion, so that a process, method, system, product or device including a series of units does not have to be limited to those units, but may include other units not clearly listed or inherent to these processes, methods, products or devices.

[0045] In order to enable a solar power plant to meet the electricity demand of the local power grid, the present application provides a control method for a solar power plant. The control method for the solar power plant provided by the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation manners.

[0046] A control method for a solar power plant provided by an embodiment of the present application is applied to a control system of a solar power plant as shown in Figure 2 As shown, the system includes: a controller, a solar power generation device, a water release valve (not shown in the figure), a water storage tank, a generator, and a photovoltaic backup battery. Figure 2 As shown, the system includes: a controller, a solar power generation device, a water release valve (not shown in the figure), a water storage tank, a generator, and a photovoltaic backup battery.

[0047] It should be noted that the controller is respectively connected to the solar power generation device, the water release valve, and the generator, and the generator is connected to the photovoltaic backup battery.

[0048] Among them, the controller can be a single-chip microcomputer, a programmable logic controller (PLC), a digital signal processor (DSP), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a central processing unit (CPU), or other processing devices that can implement control functions. The controller is connected to the solar power generation device, the water release valve, and the generator by wired or wireless means, and is responsible for monitoring and adjusting the working states of the solar power generation device, the water release valve, and the generator. For example, by monitoring parameters such as the current and voltage of the solar power generation device, it is determined whether it is working properly. According to the monitored parameters, the controller can dynamically adjust the working states of each device to ensure the efficient operation of the entire system. Further, the controller can also monitor the water level of the storage tank to ensure that the water level of the storage tank is always within a safe range.

[0049] The main function of the solar power generation device is to convert solar radiant energy into electrical energy. In this embodiment, the solar power generation device may include a solar photovoltaic panel array and an inverter. The solar photovoltaic panel array is composed of multiple solar photovoltaic panels, and each solar photovoltaic panel is used to convert solar energy into direct current electrical energy. The inverter converts the direct current generated by the photovoltaic panel array into alternating current for use by the power grid at the location of the solar power plant. The solar power generation device is also equipped with a data acquisition system for recording operation parameters such as power generation, voltage, and current, and transmitting this data to the controller. Its working principle is as follows: When sunlight shines on the surface of the photovoltaic panel, the photon energy is absorbed by the photovoltaic material; the photon energy excites the electrons in the photovoltaic material, causing them to transition from the valence band to the conduction band, forming electron-hole pairs; these electrons and holes are collected through the electrodes of the photovoltaic panel to form a current, thereby realizing the output of electrical energy.

[0050] The water release valve is usually installed at the water outlet of the water storage tank to control the release speed and flow rate of water. The water release valve can be an electric valve, and its opening degree can be precisely adjusted by a controller, so as to achieve precise control of the water flow rate and water flow speed. The water storage tank is located at a high place, and its main function is to store water. The capacity of the water storage tank is designed according to the scale of the solar power plant and the local electricity demand, usually ranging from thousands to tens of thousands of cubic meters. The height of the water storage tank is usually set between 50 meters and 200 meters to ensure that the water flow has sufficient potential energy to drive the generator. The main function of the generator is to convert the accumulated kinetic energy into electrical energy. The working principle of the generator is based on the law of electromagnetic induction, that is, when a conductor moves in a magnetic field, an induced electromotive force will be generated in the conductor, thus forming an electric current. The rated power of the generator is designed according to the scale of the solar power plant and the local electricity demand, usually ranging from hundreds of kilowatts to several megawatts. The main function of the photovoltaic backup battery is to store excess electrical energy for emergencies. The electrical energy generated by the generator can be stored in the photovoltaic backup battery for use when needed. The photovoltaic backup battery usually uses lithium-ion batteries or lead-acid batteries, and its capacity is designed according to the scale of the solar power plant and the local electricity demand, usually ranging from hundreds of kilowatt-hours to several megawatt-hours.

[0051] Furthermore, the system can also include an electric water pump, a water turbine, a flywheel device, an energy interaction device, and an energy backup battery.

[0052] It should be noted that the electric water pump is respectively connected to the controller and the photovoltaic backup battery. The water turbine is connected to the flywheel device, the controller is respectively connected to the water turbine and the flywheel device, the flywheel device is connected to the generator. The controller is connected to the energy interaction device, the energy interaction device is connected to the generator. The energy interaction device is connected to the energy backup battery.

[0053] Among them, the controller can serve as the control core of the entire system, responsible for monitoring and adjusting the working states of the electric water pump, the water turbine, the flywheel device, and the energy interaction device. For example, by monitoring parameters such as the rotation speed, current, and voltage of the water turbine, it can judge whether it is working properly. According to the monitored parameters, the controller can dynamically adjust the working states of each device to ensure the efficient operation of the entire system. Furthermore, the controller can also monitor the power state and temperature parameters of the photovoltaic backup battery and the energy backup battery to ensure the safe operation of the photovoltaic backup battery and the energy backup battery.

[0054] The photovoltaic backup battery can provide power support for the electric water pump to ensure the normal operation of the electric water pump when needed. The main function of the electric water pump is to pump water from a lower place to a higher place. The power of the electric water pump is designed according to the scale of the solar power plant and the height of the water storage tank, usually ranging from dozens of kilowatts to hundreds of kilowatts. The water turbine can use the impact force of the water flow to rotate its blades, convert the gravitational potential energy of the water into mechanical energy, and drive the flywheel device connected to the water turbine. The flywheel device can receive the mechanical energy transmitted by the water turbine. The main function of the flywheel device is to capture and accumulate tiny energy fluctuations (such as uneven water flow, vibration, etc.), convert these energies into angular momentum, and transmit the accumulated angular momentum to the generator. Both the generator and the solar photovoltaic panel can be connected to the energy interaction device through the DC bus. The electric energy generated by the generator and the solar photovoltaic panel can be directly transmitted to the energy interaction device through the DC bus. The main function of the energy interaction device is to manage and distribute the electric energy, and store the excess electric energy in the energy backup battery. The energy backup battery can achieve the storage and release of electric energy through the charging and discharging circuit.

[0055] Specifically, the flywheel device can be installed in an area with significant gravity fluctuations, such as the top of a floating water tank. When tiny fluctuations generated in the system, such as uneven water flow, vibration, etc., are transmitted to the flywheel of the flywheel device, the fluctuation energy can be converted into angular momentum by adjusting the rotation speed of the flywheel of the flywheel device. The design of the flywheel device can be annular or symmetric to ensure uniform distribution of inertial forces. And the flywheel device can be made of tungsten alloy with a high mass density material to increase the moment of inertia. Through the capture and accumulation of the flywheel device, the recovery efficiency of the tiny energy fluctuations in the system is about 5% - 15%.

[0056] As Figure 1 shown, a control method for a solar power plant provided by an embodiment of the present application may include the following steps:

[0057] Step S101: The controller predicts the power generation amount of the solar power generation device in the future time period and the power consumption amount at the location of the solar power plant in the future time period based on the historical power generation data of the solar power generation device, the historical power consumption data at the location of the solar power plant, the historical weather forecast at the location of the solar power plant, and the weather forecast at the location of the solar power plant in a preset future time period.

[0058] In this application, first, for each historical weather forecast of the location of the solar power plant, the controller uses the timestamp precise matching technology to align the historical weather forecasts of the location of the solar power plant with the historical power generation data of the solar power generation equipment and the historical power consumption data of the location of the solar power plant respectively, and obtains the historical power generation data of the solar power generation equipment under the historical weather forecast and the historical power consumption data of the location of the solar power plant under the historical weather forecast. Then, the controller inputs the historical power generation data of the solar power generation equipment under the historical weather forecast, the historical power consumption data of the location of the solar power plant under the historical weather forecast, and the weather forecast of the location of the solar power plant in the future time period into a pre-set dual-channel prediction model, and obtains the power generation amount of the solar power generation equipment in the future time period output by the first channel in the dual-channel prediction model and the power consumption amount of the location of the solar power plant in the future time period output by the second channel in the dual-channel prediction model.

[0059] First, the controller obtains the historical weather data of the location of the solar power plant, including information such as temperature, light intensity, cloud cover, etc. Record the actual power generation amount of the solar power generation equipment under different historical weather conditions and the actual power consumption amount of the location of the solar power plant under different historical weather conditions.

[0060] Then, the timestamp precise matching technology is a data processing method used to align data from different sources but with the same time attributes. Specifically, the controller can first sort the historical weather forecasts of the location of the solar power plant, the historical power generation data of the solar power generation equipment, and the historical power consumption data of the location of the solar power plant according to the timestamp (year, month, day, hour, minute). Then, for each historical weather forecast data, the controller searches for the historical power generation data and historical power consumption data with the same or closest timestamp, and associates them to form a complete data sample. If the data at some time points is missing, the controller will use interpolation methods (such as linear interpolation, spline interpolation) or the nearest neighbor filling method to supplement the missing data to ensure the continuity and integrity of the data. In this way, the controller can establish the correspondence between weather conditions and power generation amount and power consumption amount, and provide high-quality training data for the subsequent prediction model.

[0061] Finally, the controller inputs the historical power generation data of the solar power generation equipment under the historical weather forecast and the location of the solar power plant in the future time period into the first channel of the dual-channel prediction model; inputs the historical power consumption data of the location of the solar power plant under the historical weather forecast and the location of the solar power plant in the future time period into the second channel of the dual-channel prediction model, and can predict the power generation amount of the solar power generation equipment in the future time period of the first channel of the dual-channel prediction model and the power consumption amount of the solar power generation equipment in the future time period of the second channel of the dual-channel prediction model.

[0062] Among them, the training process of the dual-channel prediction model may include the following steps: First, the controller obtains a plurality of first training samples with first annotation information. The first annotation information includes the power generation amount of the solar power generation equipment in a future time period. Each first training sample includes the historical power generation data of the solar power generation equipment under historical weather forecasts and the weather forecast of the location of the solar power plant in the future time period. Then, the controller obtains a plurality of second training samples with second annotation information. The second annotation information includes the power consumption amount of the location of the solar power plant in a future time period. Each second training sample includes the historical power consumption data of the location of the solar power plant under historical weather forecasts and the weather forecast of the location of the solar power plant in the future time period. Finally, the controller trains the initial prediction model based on the plurality of first training samples and the plurality of second training samples to obtain a dual-channel prediction model. The input of the first channel in the dual-channel prediction model is the historical power generation data of the solar power generation equipment under historical weather forecasts and the weather forecast of the location of the solar power plant in the future time period. The input of the second channel in the dual-channel prediction model is the historical power consumption data of the location of the solar power plant under historical weather forecasts and the weather forecast of the location of the solar power plant in the future time period. The output of the first channel in the dual-channel prediction model is the power generation amount of the solar power generation equipment in the future time period. The output of the second channel in the dual-channel prediction model is the power consumption amount of the location of the solar power plant in the future time period.

[0063] It should be noted that the dual-channel prediction model is a specially designed machine learning model that includes two parallel but interrelated prediction channels: the first channel is used to predict the power generation amount of the solar power generation equipment, and the second channel is used to predict the power consumption amount of the location of the solar power plant. This design allows the model to consider the predictions of both the power generation amount and the power consumption amount simultaneously and can capture the possible correlations between them.

[0064] The structure of the dual-channel prediction model includes: an input layer, a feature extraction layer, a prediction layer, and an output layer. The input layer receives historical power generation data, historical power consumption data, and future weather forecast data. The feature extraction layer uses a convolutional neural network or a recurrent neural network to extract the temporal patterns and weather-related features in the data. The prediction layer uses algorithms such as a fully connected neural network or support vector regression for prediction. The output layer generates the prediction results of the power generation amount and the power consumption amount in the future time period.

[0065] Normalize the historical power generation data of the solar power generation equipment under historical weather forecasts, the historical power consumption data of the location of the solar power plant under historical weather forecasts, and the weather forecast for the future time period at the location of the solar power plant, and extract key features (such as light intensity, temperature, cloud cover, etc.) to ensure the consistency and accuracy of the data. Select appropriate machine learning or deep learning algorithms, such as neural networks (BP neural network, convolutional neural network, etc.), support vector machines (SVM), or long short-term memory networks (LSTM).

[0066] Train the first channel with the first training sample so that the model learns the relationship between historical power generation data and future weather forecasts and predicts future power generation. Train the second channel with the second training sample so that the model learns the relationship between historical power consumption data and future weather forecasts and predicts future power consumption. Adjust the model parameters through optimization algorithms (such as gradient descent) to minimize the error between the predicted value and the labeled information. Adjust the hyperparameters of the model (such as learning rate, hidden layer size, regularization parameter, etc.) to optimize the model performance. Use methods such as cross-validation to evaluate the generalization ability of the model and avoid overfitting. Use an independent validation data set to verify the model and evaluate the prediction accuracy of the model. Compare the difference between the model predicted value and the actual value to ensure the robustness and accuracy of the model under different weather conditions.

[0067] In practical applications, the controller updates the prediction results regularly (such as every hour or every day) to adapt to changes in weather forecasts and adjustments to actual situations. The time granularity of the prediction can be hourly or daily, and the time span of the prediction is usually from 24 hours to one week.

[0068] Step S102: The controller determines whether the power consumption at the location of the solar power plant in the future time period is greater than the power generation of the solar power generation equipment in the future time period.

[0069] In this application, the controller can compare the predicted power consumption with the predicted power generation. If the power consumption at the location of the solar power plant in the future time period is greater than the power generation of the solar power generation equipment in the future time period, it means that the system faces a shortage of electric energy. If the power consumption at the location of the solar power plant in the future time period is not greater than the power generation of the solar power generation equipment in the future time period, it means that the system has an excess of electric energy.

[0070] If the power consumption at the location of the solar power plant in the future time period is greater than the power generation of the solar power generation equipment in the future time period, then step S103 can be executed.

[0071] Step S103: The controller controls the water flow rate and water flow velocity of the water in the storage tank by adjusting the opening degree of the water release valve, and uses the water with the water flow rate and water flow velocity to drive the generator so that the generator charges the photovoltaic backup battery.

[0072] In the present application, first, the controller controls the water flow rate and water flow velocity in the water storage tank by adjusting the opening degree of the water release valve, and uses the water in the water storage tank to drive the water turbine to rotate, so that the water turbine drives the tourbillon device to rotate through the gear of the water turbine. Then, the controller adjusts the rotation speed of the tourbillon device so that the tourbillon device drives the generator at the rotation speed, and further enables the generator to charge the photovoltaic backup battery.

[0073] Specifically, the controller dynamically adjusts the opening degree of the water release valve according to the real-time demand (when the system faces a shortage of electric energy). When the opening degree of the water release valve increases, the water flow rate and velocity increase, which can increase the input energy of the water turbine; when the opening degree of the water release valve decreases, the water flow energy decreases, which can prevent the system from overloading or excessive energy storage consumption. The released water flow impacts the water turbine blades directionally through the pipeline, converting the gravitational potential energy of the water (the high-position potential energy of the water storage tank) into the rotational mechanical energy of the water turbine.

[0074] The main shaft of the water turbine is connected to the tourbillon device through a gear set, and the gear ratio is designed to match the rotational speed and torque requirements. The water turbine has low speed and high torque, and the gears increase the speed to enable the tourbillon device to rotate at high speed. When the flywheel of the tourbillon device rotates at high speed, it stores a large amount of angular momentum (kinetic energy) and serves as a mechanical energy buffer. It absorbs the instantaneous fluctuations of the water flow (such as changes in flow velocity) and stably outputs the mechanical energy to the generator. The controller can control the rotational speed of the tourbillon device by adjusting the gear transmission ratio or applying electromagnetic damping (if any) to optimize the energy release rate.

[0075] When the rotational speed of the tourbillon device reaches the preset threshold (such as 3000 RPM), the clutch or electromagnetic coupling connects it to the generator shaft, and the energy transmission starts. The rotational kinetic energy of the tourbillon device drives the generator rotor to cut the magnetic induction lines through the coupling, generating alternating current. The electric energy output by the generator is converted into direct current through a rectifier to adapt to the charging requirements of the photovoltaic backup battery and ensure the emergency power supply capacity. The controller maintains the tourbillon at the optimal rotational speed range (such as 2000 - 5000 RPM) by adjusting the opening degree of the water release valve, the gear transmission ratio, or the electromagnetic damping to balance the energy storage and release efficiency.

[0076] If the controller detects abnormal water flow (such as pipeline blockage), over-speed of the tourbillon, or overheating of the generator, the controller immediately closes the water release valve and disconnects the tourbillon from the generator.

[0077] If the electricity consumption in the future time period at the location of the solar power plant is not greater than the electricity generation of the solar power generation equipment in the future time period, then step S104 can be executed.

[0078] Step S104: The controller controls the electric water pump to pump water into the water storage tank by using a preset proportion of the electric energy in the photovoltaic backup battery.

[0079] In this application, when the electricity demand in a future time period of a solar power plant is lower than the power generation, a preset proportion of electrical energy can be extracted from the photovoltaic backup battery and converted into the gravitational potential energy of water through an electric water pump and stored in a water storage tank, that is, store water during the low electricity consumption period and convert the excess electrical energy into gravitational potential energy. Release water for power generation during the peak electricity consumption period or when the power generation is insufficient, forming a cycle to achieve efficient utilization and balance of energy.

[0080] It should be noted that the preset proportion can be a dynamic proportion, that is, optimized in real time according to the remaining capacity of the water storage tank and the battery health status; it can also be a fixed proportion, that is, the system preset value (such as giving priority to ensuring 70% of the battery power for emergency).

[0081] Specifically, the controller can send a start signal to the electric water pump and set the pumping power (based on the electrical energy distribution of the preset proportion), and synchronously close the water release valve to prevent the water in the water storage tank from flowing back. The photovoltaic backup battery provides electrical energy, which is converted into alternating current through an inverter to drive the electric water pump. For example: if the battery output is 48V direct current, the inverter converts it into 380V three-phase alternating current for use by a high-power water pump.

[0082] The electric water pump can adopt a high-efficiency centrifugal pump with an efficiency of up to 80%-90% to reduce energy loss. The electric water pump can be made of corrosion-resistant materials (such as PVC or stainless steel) to reduce frictional losses. The power of the electric water pump can be matched with the capacity of the water storage tank and the head (lifting height) to avoid inefficient operation. The electric water pump pumps water from a low-level water source (such as a river, a groundwater well or a circulating water tank) and transports the water to a high-level water storage tank through a pipeline. The electric water pump converts electrical energy into mechanical energy of the impeller rotation, and the water flow is lifted to the water storage tank, and the height difference gives the water gravitational potential energy. The water level sensor can feedback the water level of the water storage tank in real time, and the controller stops pumping water when the capacity upper limit is reached.

[0083] In summary, a control method for a solar power plant provided in this application, the solar power plant includes: a controller, a solar power generation device, a water release valve, a water storage tank, a generator and a photovoltaic backup battery. This method combines historical power generation data, historical electricity consumption data, historical weather forecasts and future weather forecasts, fully considering various factors affecting solar power generation and electricity consumption, so as to improve the accuracy and reliability of the prediction. When it is predicted that there may be a power supply shortage in the future, this solution will use the water stored in the water storage tank to generate electricity and store it in the photovoltaic backup battery. In this way, when there is a subsequent power supply shortage, the timeliness and stability of the electrical energy output by the photovoltaic backup battery can be utilized to supply power to the local power grid in a timely and stable manner to make up for the insufficient power generation of the solar power generation device, and thus meet the electricity consumption demand of the local power grid.

[0084] Based on the above-described embodiments disclosed in the present application, in a further embodiment of the present application, the specific implementation manner after the controller adjusts the rotation rate of the tourbillon device so that the tourbillon device drives the generator at the rotation rate, and then the generator charges the photovoltaic backup battery is described in detail.

[0085] As an implementable manner, please refer to the attached Figure 3 , which is a schematic flowchart of a method for distributing the surplus electric energy of the generator provided by the present application. The method may include the following steps:

[0086] Step S201: The controller acquires the power supply data of the generator and the power consumption data of the photovoltaic backup battery.

[0087] It should be noted that the power supply data of the generator includes parameters such as real-time output power (kW), voltage, current, frequency, etc. The sensors (such as Hall current sensors, voltage transformers) built in the generator are transmitted to the controller through the CAN bus or Modbus protocol.

[0088] The power consumption data of the photovoltaic backup battery includes the current load power (kW) of the battery, the charge and discharge state (SOC), temperature, etc. The photovoltaic backup battery interacts with the controller through a communication interface (such as RS485).

[0089] In the present application, the controller realizes millisecond-level data synchronization through a multi-threaded or interrupt mechanism, acquires the power supply data of the generator and the power consumption data of the photovoltaic backup battery in real time, and stores the data after preprocessing (such as filtering, normalization) in the cache for subsequent logical judgment.

[0090] Step S202: The controller determines whether the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery.

[0091] In the present application, when the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery, it indicates that there is surplus electric energy; when the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery, the current state is maintained, and the generator and the battery supply power together, or the battery alone makes up the gap.

[0092] When the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery, step S203 can be executed.

[0093] Step S203: The controller calculates the surplus electric energy of the generator based on the power supply data of the generator and the power consumption data of the photovoltaic backup battery, and transmits the surplus electric energy of the generator to the energy interaction device so that the energy interaction device distributes the surplus electric energy of the generator.

[0094] In this application, the power supply data of the generator is subtracted from the power consumption data of the photovoltaic backup battery to calculate the surplus electric energy of the generator. If there are multiple generators, the total power supply needs to be accumulated before calculation. The controller transmits the surplus electric energy of the generator to the energy interaction device (distinguished from the photovoltaic backup battery and dedicated to long-term energy storage) so that the energy interaction device stores the surplus electric energy of the generator in the energy backup battery. The controller can dynamically adjust the charging power according to the state of charge (SOC) and state of health (SOH) of the storage battery to avoid overcharging.

[0095] If the load demand suddenly increases (such as the peak of equipment startup), the surplus electric energy is directly switched to supply the load, reducing the battery cycle loss. The controller can adjust the power flow direction through the power electronic device (such as a bidirectional converter) of the energy interaction device. The distribution effect is monitored in real time to form a closed-loop feedback (such as the charging efficiency of the storage battery and the load stability).

[0096] In summary, a method for distributing the surplus electric energy of a generator provided in this application avoids extreme states of idle power generation or insufficient power supply by comparing the power supply data of the generator and the power consumption data of the photovoltaic backup battery in real time, and improves the overall energy utilization efficiency. By directly distributing the surplus electric energy to the energy backup battery, the charge and discharge frequency of the photovoltaic backup battery is reduced, and its lifespan is extended.

[0097] In the above-described embodiments disclosed in this application, the method is described in detail. The method of this application can be implemented by devices in various forms. Therefore, this application also discloses a control system for a solar power plant, and specific embodiments are given below for detailed description.

[0098] Please refer to the attached Figure 2 , Figure 2 which is a schematic structural diagram of a control system for a solar power plant disclosed in an embodiment of this application. The system includes: a controller, a solar power generation device, a water release valve, a water storage tank, a generator, and a photovoltaic backup battery. The controller is respectively connected to the solar power generation device, the water release valve, and the generator, and the generator is connected to the photovoltaic backup battery.

[0099] The controller is used to predict the power generation amount of the solar power generation device in the future time period and the power consumption amount of the location of the solar power plant in the future time period based on the historical power generation data of the solar power generation device, the historical power consumption data of the location of the solar power plant, the historical weather forecast of the location of the solar power plant, and the weather forecast of the location of the solar power plant in a preset future time period.

[0100] The controller is further used to determine whether the power consumption amount of the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation device in the future time period.

[0101] If the power consumption at the location of the solar power plant in the future time period is greater than the power generation of the solar power generation device in the future time period, the controller is further configured to control the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and drive the generator with the water having the water flow rate and the water velocity, so that the generator charges the photovoltaic backup battery.

[0102] As an implementable manner, the system further includes an electric water pump, and the electric water pump is respectively connected to the controller and the photovoltaic backup battery.

[0103] The system further includes:

[0104] If the power consumption at the location of the solar power plant in the future time period is not greater than the power generation of the solar power generation device in the future time period, the controller is further configured to control the electric water pump to pump water into the water storage tank by using a preset proportion of the electric energy in the photovoltaic backup battery.

[0105] As an implementable manner, the controller is configured to predict the power generation of the solar power generation device in the future time period and the power consumption at the location of the solar power plant in the future time period based on the historical power generation data of the solar power generation device, the historical power consumption data at the location of the solar power plant, the historical weather forecast at the location of the solar power plant, and the weather forecast at the location of the solar power plant in a preset future time period, including:

[0106] For each historical weather forecast at the location of the solar power plant, the controller is configured to align the historical weather forecast at the location of the solar power plant with the historical power generation data of the solar power generation device and the historical power consumption data at the location of the solar power plant respectively by using the timestamp precise matching technology, so as to obtain the historical power generation data of the solar power generation device under the historical weather forecast and the historical power consumption data at the location of the solar power plant under the historical weather forecast.

[0107] The controller is configured to input the historical power generation data of the solar power generation device under the historical weather forecast, the historical power consumption data at the location of the solar power plant under the historical weather forecast, and the weather forecast at the location of the solar power plant in the future time period into a pre-set dual-channel prediction model, so as to obtain the power generation of the solar power generation device in the future time period output by the first channel in the dual-channel prediction model and the power consumption at the location of the solar power plant in the future time period output by the second channel in the dual-channel prediction model.

[0108] As an implementable manner, the system further includes:

[0109] The controller is further configured to obtain a plurality of first training samples with first annotation information, where the first annotation information includes the electricity generation amount of the solar power generation device in the future time period, and each of the first training samples includes the historical electricity generation data of the solar power generation device under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period.

[0110] The controller is further configured to obtain a plurality of second training samples with second annotation information, where the second annotation information includes the electricity consumption amount of the location of the solar power plant in the future time period, and each of the second training samples includes the historical electricity consumption data of the location of the solar power plant under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period.

[0111] The controller is further configured to train an initial prediction model based on the plurality of first training samples and the plurality of second training samples to obtain the dual-channel prediction model. In the dual-channel prediction model, the input of the first channel is the historical electricity generation data of the solar power generation device under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period, the input of the second channel in the dual-channel prediction model is the historical electricity consumption data of the location of the solar power plant under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period, the output of the first channel in the dual-channel prediction model is the electricity generation amount of the solar power generation device in the future time period, and the output of the second channel in the dual-channel prediction model is the electricity consumption amount of the location of the solar power plant in the future time period.

[0112] As an implementable manner, the system further includes: a water turbine and a flywheel device, the water turbine is connected to the flywheel device, the controller is respectively connected to the water turbine and the flywheel device, and the flywheel device is connected to the generator.

[0113] The controller is further configured to control the water flow rate and water flow velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and drive the generator with the water in the water storage tank to charge the photovoltaic backup battery, including:

[0114] The controller is further configured to control the water flow rate and water flow velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and drive the water turbine to rotate with the water in the water storage tank, so that the water turbine drives the flywheel device to rotate through the gear of the water turbine.

[0115] The controller is further configured to adjust the rotation rate of the tourbillon device so that the tourbillon device drives the generator at the rotation rate, thereby enabling the generator to charge the photovoltaic backup battery.

[0116] As an implementable manner, the system further includes: an energy interaction device, the controller is connected to the energy interaction device, and the energy interaction device is connected to the generator.

[0117] The system further includes:

[0118] The controller is further configured to obtain the power supply data of the generator and the power consumption data of the photovoltaic backup battery.

[0119] The controller is further configured to determine whether the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery.

[0120] If the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery, the controller is further configured to calculate the surplus electric energy of the generator based on the power supply data of the generator and the power consumption data of the photovoltaic backup battery, and transmit the surplus electric energy of the generator to the energy interaction device so that the energy interaction device distributes the surplus electric energy of the generator.

[0121] As an implementable manner, the system further includes: an energy backup battery, and the energy interaction device is connected to the energy backup battery.

[0122] The controller is further configured to transmit the surplus electric energy of the generator to the energy interaction device so that the energy interaction device distributes the surplus electric energy of the generator, including:

[0123] The controller is further configured to transmit the surplus electric energy of the generator to the energy interaction device so that the energy interaction device stores the surplus electric energy of the generator in the energy backup battery.

[0124] An embodiment of the present application further provides a computer program product, including computer-readable instructions, which when running on an electronic device, enable the electronic device to implement any one of the control methods of the solar power plant provided by the embodiments of the present application.

[0125] An embodiment of the present application further provides a computer-readable storage medium, which bears one or more computer programs, and when the one or more computer programs are executed by an electronic device, can enable the electronic device to implement any one of the control methods of the solar power plant provided by the embodiments of the present application.

[0126] In addition, it should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the devices can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided in this application, the connection relationships between the devices indicate that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines.

[0127] Through the description of the above embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by dedicated hardware including application-specific integrated circuits, dedicated CPUs, dedicated memories, dedicated components, etc. Generally, functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structures for implementing the same function can also be various, such as analog circuits, digital circuits or dedicated circuits. However, in more cases, software program implementation is a better implementation method for this application. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a readable storage medium, such as a floppy disk, USB flash drive, mobile hard disk, ROM, RAM, magnetic disk or optical disc of a computer, and includes several instructions for causing a computer device (which can be a personal computer, training device, or network device, etc.) to execute the methods described in various embodiments of this application.

[0128] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product.

[0129] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, training device, or data center to another website, computer, training device, or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device or data center that includes one or more integrated available media. The available medium may be a magnetic medium (such as a floppy disk, hard disk, magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)), etc.

Claims

1. A control method for a solar power plant, characterized in that, The solar power generation system in the solar power plant includes: a controller, solar power generation equipment, a water release valve, a water storage tank, a generator, and a photovoltaic backup battery. The controller is respectively connected to the solar power generation equipment, the water release valve, and the generator, and the generator is connected to the photovoltaic backup battery; Based on the historical power generation data of the solar power generation equipment, the historical power consumption data of the location of the solar power plant, the historical weather forecast of the location of the solar power plant, and the weather forecast of the location of the solar power plant in a preset future time period, the controller predicts the power generation amount of the solar power generation equipment in the future time period and the power consumption amount of the location of the solar power plant in the future time period; The controller determines whether the power consumption amount of the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation equipment in the future time period; If the power consumption amount of the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation equipment in the future time period, the controller controls the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and uses the water with the water flow rate and water velocity to drive the generator, so that the generator charges the photovoltaic backup battery.

2. The control method of the solar power plant according to claim 1, wherein, The system further includes an electric water pump, and the electric water pump is respectively connected to the controller and the photovoltaic backup battery; After the controller determines whether the power consumption amount of the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation equipment in the future time period, the method further includes: If the power consumption amount of the location of the solar power plant in the future time period is not greater than the power generation amount of the solar power generation equipment in the future time period, the controller controls the electric water pump to pump water into the water storage tank by using a preset proportion of the electric energy in the photovoltaic backup battery.

3. The control method of the solar power plant according to claim 1, characterized in that, Based on the historical power generation data of the solar power generation equipment, the historical power consumption data of the location of the solar power plant, the historical weather forecast of the location of the solar power plant, and the weather forecast of the location of the solar power plant in a preset future time period, the controller predicts the power generation amount of the solar power generation equipment in the future time period and the power consumption amount of the location of the solar power plant in the future time period, including: For each historical weather forecast of the location of the solar power plant, the controller uses the timestamp precise matching technology to align the historical weather forecast of the location of the solar power plant with the historical power generation data of the solar power generation equipment and the historical power consumption data of the location of the solar power plant respectively, and obtains the historical power generation data of the solar power generation equipment under the historical weather forecast and the historical power consumption data of the location of the solar power plant under the historical weather forecast; The controller inputs the historical power generation data of the solar power generation device under the historical weather forecast, the historical power consumption data of the location of the solar power plant under the historical weather forecast, and the weather forecast of the location of the solar power plant in the future time period into a pre-set dual-channel prediction model, and obtains the power generation amount of the solar power generation device in the future time period output by the first channel in the dual-channel prediction model and the power consumption amount of the location of the solar power plant in the future time period output by the second channel in the dual-channel prediction model.

4. The control method of the solar power plant according to claim 3, characterized in that, The training process of the dual-channel prediction model includes: The controller obtains a plurality of first training samples with first annotation information, the first annotation information includes the power generation amount of the solar power generation device in the future time period, and each first training sample includes the historical power generation data of the solar power generation device under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period; The controller obtains a plurality of second training samples with second annotation information, the second annotation information includes the power consumption amount of the location of the solar power plant in the future time period, and each second training sample includes the historical power consumption data of the location of the solar power plant under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period; The controller trains an initial prediction model based on the plurality of first training samples and the plurality of second training samples to obtain the dual-channel prediction model. The input of the first channel in the dual-channel prediction model is the historical power generation data of the solar power generation device under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period. The input of the second channel in the dual-channel prediction model is the historical power consumption data of the location of the solar power plant under the historical weather forecast and the weather forecast of the location of the solar power plant in the future time period. The output of the first channel in the dual-channel prediction model is the power generation amount of the solar power generation device in the future time period. The output of the second channel in the dual-channel prediction model is the power consumption amount of the location of the solar power plant in the future time period.

5. The control method of the solar power plant according to claim 1, characterized in that, The system further includes: a water turbine and a flywheel device. The water turbine is connected to the flywheel device. The controller is respectively connected to the water turbine and the flywheel device. The flywheel device is connected to the generator; The controller controls the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and uses the water in the water storage tank to drive the generator, so that the generator charges the photovoltaic backup battery, including: The controller controls the water flow rate and water velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and uses the water in the water storage tank to drive the water turbine to rotate, so that the water turbine drives the flywheel device to rotate through the gear of the water turbine; The controller adjusts the rotation speed of the tourbillon device so that the tourbillon device drives the generator at the rotation speed, thereby enabling the generator to charge the photovoltaic backup battery.

6. The control method of a solar power plant according to claim 5, characterized in that, The system further includes: an energy interaction device, the controller is connected to the energy interaction device, and the energy interaction device is connected to the generator; After the controller adjusts the rotation speed of the tourbillon device so that the tourbillon device drives the generator at the rotation speed, thereby enabling the generator to charge the photovoltaic backup battery, the method further includes: The controller obtains the power supply data of the generator and the power consumption data of the photovoltaic backup battery; The controller determines whether the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery; If the power supply data of the generator is greater than the power consumption data of the photovoltaic backup battery, the controller calculates the surplus electric energy of the generator based on the power supply data of the generator and the power consumption data of the photovoltaic backup battery, and transmits the surplus electric energy of the generator to the energy interaction device, so that the energy interaction device distributes the surplus electric energy of the generator.

7. The control method of a solar power plant according to claim 6, wherein The system further includes: an energy backup battery, the energy interaction device is connected to the energy backup battery; The controller transmits the surplus electric energy of the generator to the energy interaction device so that the energy interaction device distributes the surplus electric energy of the generator, including: The controller transmits the surplus electric energy of the generator to the energy interaction device so that the energy interaction device stores the surplus electric energy of the generator in the energy backup battery.

8. A control system for a solar power plant, characterized in that, Including: A controller, a solar power generation device, a water release valve, a water storage tank, a generator and a photovoltaic backup battery, the controller is respectively connected to the solar power generation device, the water release valve and the generator, and the generator is connected to the photovoltaic backup battery; The controller is configured to predict the power generation amount of the solar power generation device in the future time period and the power consumption amount at the location of the solar power plant in the future time period based on the historical power generation data of the solar power generation device, the historical power consumption data at the location of the solar power plant, the historical weather forecast at the location of the solar power plant, and the weather forecast at the location of the solar power plant in a preset future time period; The controller is further configured to determine whether the power consumption amount at the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation device in the future time period; If the power consumption amount at the location of the solar power plant in the future time period is greater than the power generation amount of the solar power generation device in the future time period, the controller is further configured to control the water flow rate and water flow velocity of the water in the water storage tank by adjusting the opening degree of the water release valve, and drive the generator with the water having the water flow rate and the water flow velocity, so that the generator charges the photovoltaic backup battery.

9. A computer program product, characterized in that, Comprising computer-readable instructions which, when run on an electronic device, cause the electronic device to implement the control method of a solar power plant as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, The storage medium bears one or more computer programs which, when executed by an electronic device, can cause the electronic device to implement the control method of a solar power plant as described in any one of claims 1 to 7.

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