New energy power generation power control method and device, terminal equipment and storage medium

Abstract

The invention discloses a new energy power generation power control method and device, terminal equipment and a storage medium. The method comprises the steps that the current output power, the load demand power and the predicted power generation power of power generation equipment are acquired; calculating the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power; and according to the target output power, generating a corresponding output power control instruction so as to adjust the output power of the power generation equipment. Predicted generation power is introduced, and the target output power is calculated in combination with the current output power and the load demand power. Due to instability of the new energy power generation system, the target output power obtained through calculation can better adapt to power generation fluctuation at the future moment, system response lag or insufficient adjustment amplitude can be avoided, and the stability of power output is improved.

Description

Technical Field

[0001] The present invention relates to the field of renewable energy power generation technology, and in particular to a renewable energy power generation power control method, device, terminal equipment and storage medium. Background Art

[0002] A typical dynamic power control method for a new energy power generation system is to dynamically adjust the working state of the power generation equipment according to the real-time power generation and the load demand of the power generation equipment to ensure the stability of the output power.

[0003] Although dynamic power control methods can regulate power output to a certain extent, due to the uncertainty and intermittency of renewable energy power generation, traditional dynamic power control methods may not be able to accurately adjust power based solely on real-time power generation and load demand, resulting in delayed system response or insufficient adjustment, affecting output stability. Summary of the invention

[0004] The present invention provides a new energy power generation power control method, device, terminal equipment and storage medium to solve the technical problem that the prior art cannot accurately adjust power.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a new energy power generation power control method, comprising:

[0006] Obtain the current output power of the power generation equipment and the load demand power; obtain the historical power generation data within a first preset time period before the current moment and the environmental data at the current moment; input the historical power generation data and environmental data into the trained power generation prediction model, so that the power generation prediction model predicts the power generation within a second preset time period after the current moment according to the historical power generation data and environmental data, and outputs the predicted power generation; wherein, if the power generation equipment is a solar power generation equipment, the environmental data is the light intensity; if the power generation equipment is a wind power generation equipment, the environmental data is the wind power density;

[0007] Calculating the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power;

[0008] According to the target output power, a corresponding output power control instruction is generated to adjust the output power of the power generation equipment.

[0009] As a preferred solution, obtaining the current output power of the power generation equipment includes:

[0010] When the power generation equipment is a solar power generation equipment, obtaining light intensity and an effective light receiving area; and calculating the current output power according to the light intensity and the effective light receiving area;

[0011] When the power generation equipment is a wind power generation equipment, the wind power density and the effective wind receiving area are obtained; and the current output power is calculated according to the wind power density and the effective wind receiving area.

[0012] As a preferred solution, the training process of the power generation prediction model includes:

[0013] Acquire a number of sample data; wherein each of the sample data includes environmental data at a certain historical moment and power generation data within a first preset time period before the historical moment;

[0014] Acquire the actual power generated within a second preset time period after the historical moment corresponding to each sample data as a label of the sample data;

[0015] Input each sample data into the constructed power generation prediction model, so that the power generation prediction model predicts the power generation of the second preset time after the historical moment corresponding to the sample data according to the sample data, and outputs the sample predicted power generation;

[0016] According to the sample predicted power generation and the corresponding actual power generation, a predicted loss value is calculated, and according to the predicted loss value, parameters of the power generation prediction model are adjusted to obtain a trained power generation prediction model.

[0017] As a preferred solution, the target output power of the power generation equipment is calculated according to the current output power, the predicted power generation power and the load demand power, including:

[0018] Calculating a power fluctuation value according to the current output power and the predicted generated power;

[0019] Calculating the target output power according to the power fluctuation value and the load demand power;

[0020] The calculation formula of the power fluctuation value is:

[0021] P Δ =P f -P o ;

[0022] Where P Δ Indicates the power fluctuation value; P f Represents the predicted power generation; P o Indicates the current output power;

[0023] The target output power is calculated as follows:

[0024] P set =P load +K·P Δ ;

[0025] Where P set Indicates the target output power; P load Indicates the load demand power; K is the gain parameter.

[0026] As a preferred solution, the new energy power generation control method further includes:

[0027] When the current output power is greater than the load demand power, storing the excess power in the energy storage device;

[0028] When the current output power is less than the load demand power, electric energy is extracted from the energy storage device to supplement the power difference.

[0029] As a preferred solution, the extracting electric energy from the energy storage device to supplement the power difference includes:

[0030] Obtaining a weight coefficient for each energy storage device;

[0031] Calculating a power difference according to the current output power and the load demand power;

[0032] The power supply of each energy storage device is calculated according to the weight coefficient of each energy storage device and the power difference, so as to control each energy storage device to provide electric energy according to the corresponding power supply.

[0033] As a preferred solution, after calculating the power supply of each energy storage device, the following is further included:

[0034] Determine whether the power supply of each energy storage device is not greater than the corresponding storage capacity;

[0035] If yes, proceed with the subsequent operation;

[0036] If not, for energy storage devices whose power supply is not greater than the storage capacity, the energy storage devices are scheduled to provide electrical energy according to the corresponding power supply; for energy storage devices whose power supply is greater than the storage capacity, the energy supply difference of the energy storage devices is calculated, and the backup power generation device is enabled to supplement the energy supply difference.

[0037] On the basis of the above-mentioned embodiment, another embodiment of the present invention provides a new energy power generation control device, including: a data acquisition module, a target output power calculation module and a scheduling module;

[0038] The data acquisition module is used to obtain the current output power, predicted power generation and load demand power of the power generation equipment;

[0039] The target output power calculation module is used to calculate the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power;

[0040] The scheduling module is used to generate corresponding output power control instructions according to the target output power to adjust the output power of the power generation equipment.

[0041] Based on the above embodiments, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, the new energy power generation control method described in the above invention embodiments is implemented.

[0042] Based on the above embodiments, another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the new energy power generation control method described in the above invention embodiment.

[0043] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0044] The present invention obtains the current output power, predicted power generation and load demand power of the power generation equipment; calculates the target output power of the power generation equipment according to the current output power, predicted power generation and load demand power; generates corresponding output power control instructions according to the target output power to adjust the output power of the power generation equipment. The present invention introduces predicted power generation, and calculates the target output power in combination with the current output power and load demand power. Due to the instability of the new energy power generation system, the target output power calculated by the present invention can better adapt to the power generation fluctuations in the future, avoid system response lag or insufficient adjustment range, and improve the stability of power output. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of a new energy power generation control method provided by an embodiment of the present invention;

[0046] Figure 2 It is a structural schematic diagram of a new energy power generation power control device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Embodiment 1

[0051] Please refer to Figure 1 , is a flow chart of a new energy power generation control method provided by an embodiment of the present invention, comprising:

[0052] S1. Obtain the current output power and load demand power of the power generation equipment; obtain the historical power generation data within a first preset time period before the current moment and the environmental data at the current moment; input the historical power generation data and environmental data into a trained power generation prediction model, so that the power generation prediction model predicts the power generation within a second preset time period after the current moment according to the historical power generation data and environmental data, and outputs the predicted power generation; wherein, if the power generation equipment is a solar power generation equipment, the environmental data is the light intensity; if the power generation equipment is a wind power generation equipment, the environmental data is the wind power density;.

[0053] It should be noted that the current output power refers to the real-time output power of the power generation equipment at the time of data collection; the predicted power generation power refers to the power generation power of the power generation equipment in the future period predicted by the algorithm; and the load demand power refers to the real-time load demand at the time of data collection.

[0054] In a preferred embodiment, obtaining the current output power of the power generation equipment includes:

[0055] When the power generation equipment is a solar power generation equipment, obtaining light intensity and an effective light receiving area; and calculating the current output power according to the light intensity and the effective light receiving area;

[0056] When the power generation equipment is a wind power generation equipment, the wind power density and the effective wind receiving area are obtained; and the current output power is calculated according to the wind power density and the effective wind receiving area.

[0057] In this embodiment, the power generation equipment is new energy power generation equipment, which is mainly divided into solar power generation equipment and wind power generation equipment. Different data are collected according to different types to calculate the current output power of the power generation equipment.

[0058] The formula for calculating the output power is:

[0059] P o =ηA·G;

[0060] Where P o represents the output power; η represents the efficiency coefficient of the power generation equipment; if the power generation equipment is a solar power generation equipment, A represents the effective light-receiving area, and G represents the light intensity; if the power generation equipment is a wind power generation equipment, A represents the effective wind-receiving area; G represents the wind power density.

[0061] In a preferred embodiment, the training process of the power generation prediction model includes:

[0062] Acquire a number of sample data; wherein each of the sample data includes environmental data at a certain historical moment and power generation data within a first preset time period before the historical moment;

[0063] Acquire the actual power generated within a second preset time period after the historical moment corresponding to each sample data as a label of the sample data;

[0064] Input each sample data into the constructed power generation prediction model, so that the power generation prediction model predicts the power generation of the second preset time after the historical moment corresponding to the sample data according to the sample data, and outputs the sample predicted power generation;

[0065] According to the sample predicted power generation and the corresponding actual power generation, a predicted loss value is calculated, and according to the predicted loss value, parameters of the power generation prediction model are adjusted to obtain a trained power generation prediction model.

[0066] In this embodiment, the power generation capacity in the future period is predicted based on the historical power generation data and the environmental data at the current moment.

[0067] The prediction model calculates the power generation in the future by the following formula:

[0068] P f (t+T)=α1·H(t)+α2·E(t);

[0069] Where P f(t+T) represents the predicted power generation at time t+T; H(t) represents the historical power generation data at time t; E(t) represents the environmental data at time t; α1 and α2 represent the regression coefficients obtained from model training.

[0070] The power prediction module uses a machine learning algorithm based on long short-term memory network or support vector regression. This formula combines environmental factors and historical data, and optimizes the prediction accuracy through machine learning methods, thereby providing the system with an accurate estimate of power generation capacity. This power prediction mechanism can effectively improve the system's ability to cope with environmental changes, especially when wind speed and light change dramatically, it can make reasonable predictions of power generation capacity in advance and ensure the system's load demand adjustment to the power grid.

[0071] It should be noted that the present invention introduces a feedback control mechanism. When a large error occurs in the power prediction module, the subsequent output power control instructions are corrected in real time to reduce the impact of the prediction error on the system and improve the matching accuracy of power generation and load demand.

[0072] S2. Calculate the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power.

[0073] In step S2, compared with the prior art, the present invention additionally introduces predicted power generation, and combines the current output power and load demand power at the current moment to calculate the target output power of the power generation equipment. Due to the instability of the new energy power generation system, the target output power calculated by the present invention can better adapt to the power generation fluctuations at future moments, try to avoid system response lag or insufficient adjustment range, and improve the stability of the output.

[0074] In a preferred embodiment, the calculating the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power includes:

[0075] Calculating a power fluctuation value according to the current output power and the predicted generated power;

[0076] Calculating the target output power according to the power fluctuation value and the load demand power;

[0077] The calculation formula of the power fluctuation value is:

[0078] P Δ =P f -P o ;

[0079] Where P Δ Indicates the power fluctuation value; P f Represents the predicted power generation; P o Indicates the current output power;

[0080] The target output power is calculated as follows:

[0081] P set =P load +K·P Δ ;

[0082] Where P set Indicates the target output power; P load Indicates the load demand power; K is the gain parameter.

[0083] It should be noted that the gain parameters of the present invention can be adaptively adjusted. When it is predicted that the future power generation of the power generation equipment may change significantly, for example, when the light intensity suddenly decreases due to cloud cover, the system needs to quickly increase the gain coefficient K so that the power generation system can request power compensation from the energy storage system more quickly. This operation ensures that even when power generation is insufficient, energy storage can be quickly called to ensure power output. When environmental conditions are relatively stable or the light intensity is significantly enhanced (for example, the clouds dissipate and the light increases rapidly), the gain coefficient K can be appropriately reduced. This is to avoid excessive response of the system to power output and excessive output fluctuations, thereby achieving a smoother output.

[0084] S3. Generate a corresponding output power control instruction according to the target output power to adjust the output power of the power generation equipment.

[0085] In a preferred embodiment, the new energy power generation control method further includes:

[0086] When the current output power is greater than the load demand power, storing the excess power in the energy storage device;

[0087] When the current output power is less than the load demand power, electric energy is extracted from the energy storage device to supplement the power difference.

[0088] In this embodiment, the present invention adopts a redundant energy storage strategy. When the power generation is greater than the demand, the excess energy is stored in the energy storage device. When the power generation is insufficient, energy is extracted from the energy storage system to compensate for the power difference. Multiple energy storage devices work together to ensure the continuity of power supply.

[0089] It should be noted that the energy storage scheduling mechanism of the present invention ensures that when the fluctuation of renewable energy generation is large, the system can provide stable power output to avoid grid instability. Energy storage management also includes health monitoring of energy storage equipment. Through parameters such as battery voltage, current and temperature, the system dynamically adjusts the charging and discharging strategy to optimize the life and efficiency of energy storage equipment. Energy storage systems include battery energy storage, flywheel energy storage and supercapacitor energy storage.

[0090] In a preferred embodiment, extracting electrical energy from the energy storage device to supplement the power difference includes:

[0091] Obtaining a weight coefficient for each energy storage device;

[0092] Calculating a power difference according to the current output power and the load demand power;

[0093] The power supply of each energy storage device is calculated according to the weight coefficient of each energy storage device and the power difference, so as to control each energy storage device to provide electric energy according to the corresponding power supply.

[0094] It should be noted that the present invention dynamically allocates the power output priority of each energy storage unit through the weight coefficient, giving priority to the use of energy storage devices with fast response speed to ensure rapid response to load demand. The energy storage device has a health monitoring mechanism, which monitors the voltage, temperature, current and other parameters of the energy storage device in real time, and adjusts its charging and discharging strategy in combination with the device's usage history data to extend the service life of the energy storage device.

[0095] In a preferred embodiment, after calculating the power supply of each energy storage device, the method further includes:

[0096] Obtain the storage capacity of each energy storage device;

[0097] Determine whether the power supply of each energy storage device is not greater than the corresponding storage capacity;

[0098] If yes, proceed with the subsequent operation;

[0099] If not, for energy storage devices whose power supply is not greater than the storage capacity, the energy storage devices are scheduled to provide electrical energy according to the corresponding power supply; for energy storage devices whose power supply is greater than the storage capacity, the energy supply difference of the energy storage devices is calculated, and the backup power generation device is enabled to supplement the energy supply difference.

[0100] It should be noted that the redundant energy storage strategy adopted by the present invention also includes a power supply protection mechanism, that is, when a certain energy storage device cannot meet the power supply demand, the system can quickly switch to other energy storage devices to maintain a continuous supply of electricity, which greatly improves the stability and reliability of the system. In addition, when the capacity of the energy storage device is lower than the set threshold, the system will give priority to powering the critical loads and reduce the power supply demand of the secondary loads.

[0101] The redundant energy storage strategy also has a fault protection mechanism. When an energy storage device fails, the system can automatically switch to the backup energy storage unit to ensure stable power supply to the grid and avoid power outages caused by energy storage device failures.

[0102] Embodiment 2

[0103] Please refer to Figure 2, is a schematic diagram of the structure of a new energy power generation control device provided by an embodiment of the present invention, comprising: a data acquisition module, a target output power calculation module and a scheduling module;

[0104] The data acquisition module is used to obtain the current output power, predicted power generation and load demand power of the power generation equipment;

[0105] The target output power calculation module is used to calculate the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power;

[0106] The scheduling module is used to generate corresponding output power control instructions according to the target output power to adjust the output power of the power generation equipment.

[0107] Embodiment 3

[0108] Accordingly, an embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements the new energy power generation control method described in the above-mentioned embodiment of the invention.

[0109] Embodiment 4

[0110] Accordingly, an embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the new energy power generation control method described in the above-mentioned embodiment of the invention.

[0111] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0112] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0113] The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0114] The processor may be a central processing unit (CPU), or 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. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the device, and various interfaces and lines are used to connect various parts of the entire device.

[0115] The memory can be used to store the computer program, and the processor realizes various functions of the device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0116] The storage medium is a storage medium, and the computer program is stored in the storage medium. When the computer program is executed by the processor, the steps of each method embodiment described above can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer readable media do not include electric carrier signals and telecommunication signals.

[0117] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for controlling power generation of renewable energy, characterized in that: include: Obtain the current output power of the power generation equipment and the load demand power; obtain the historical power generation data within a first preset time period before the current moment and the environmental data at the current moment; input the historical power generation data and environmental data into the trained power generation prediction model, so that the power generation prediction model predicts the power generation within a second preset time period after the current moment according to the historical power generation data and environmental data, and outputs the predicted power generation; wherein, if the power generation equipment is a solar power generation equipment, the environmental data is the light intensity; if the power generation equipment is a wind power generation equipment, the environmental data is the wind power density; Calculating the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power; According to the target output power, a corresponding output power control instruction is generated to adjust the output power of the power generation equipment.

2. The new energy power generation control method according to claim 1, characterized in that: Obtaining the current output power of the power generation equipment includes: When the power generation equipment is a solar power generation equipment, obtaining light intensity and an effective light receiving area; and calculating the current output power according to the light intensity and the effective light receiving area; When the power generation equipment is a wind power generation equipment, the wind power density and the effective wind receiving area are obtained; and the current output power is calculated according to the wind power density and the effective wind receiving area.

3. The new energy power generation control method according to claim 1, characterized in that: The training process of the power generation prediction model includes: Acquire a number of sample data; wherein each of the sample data includes environmental data at a certain historical moment and power generation data within a first preset time period before the historical moment; Acquire the actual power generated within a second preset time period after the historical moment corresponding to each sample data as a label of the sample data; Input each sample data into the constructed power generation prediction model, so that the power generation prediction model predicts the power generation of the second preset time after the historical moment corresponding to the sample data according to the sample data, and outputs the sample predicted power generation; According to the sample predicted power generation and the corresponding actual power generation, a predicted loss value is calculated, and according to the predicted loss value, parameters of the power generation prediction model are adjusted to obtain a trained power generation prediction model.

4. The renewable energy power generation control method according to claim 1, characterized in that: The calculating the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power comprises: Calculating a power fluctuation value according to the current output power and the predicted generated power; Calculating the target output power according to the power fluctuation value and the load demand power; The calculation formula of the power fluctuation value is: P Δ =P f -P o ; Where P Δ Indicates the power fluctuation value; P f Represents the predicted power generation; P o Indicates the current output power; The target output power is calculated as follows: P set =P load +K·P Δ ; Where P set Indicates the target output power; P load Indicates the load demand power; K is the gain parameter.

5. The renewable energy power generation control method according to claim 1, characterized in that: Also includes: When the current output power is greater than the load demand power, storing the excess power in the energy storage device; When the current output power is less than the load demand power, electric energy is extracted from the energy storage device to supplement the power difference.

6. The new energy power generation control method according to claim 5, characterized in that: The extracting electric energy from the energy storage device to supplement the power difference comprises: Obtaining a weight coefficient for each energy storage device; Calculating a power difference according to the current output power and the load demand power; The power supply of each energy storage device is calculated according to the weight coefficient of each energy storage device and the power difference, so as to control each energy storage device to provide electric energy according to the corresponding power supply.

7. The new energy power generation control method according to claim 6, characterized in that: After calculating the power supply of each energy storage device, it also includes: Obtain the storage capacity of each energy storage device; Determine whether the power supply of each energy storage device is not greater than the corresponding storage capacity; If yes, proceed with the subsequent operation; If not, for energy storage devices whose power supply is not greater than the storage capacity, the energy storage devices are scheduled to provide electrical energy according to the corresponding power supply; for energy storage devices whose power supply is greater than the storage capacity, the energy supply difference of the energy storage devices is calculated, and the backup power generation device is enabled to supplement the energy supply difference.

8. A new energy power generation control device, characterized in that: include: Data acquisition module, target output power calculation module and scheduling module; The data acquisition module is used to obtain the current output power, predicted power generation and load demand power of the power generation equipment; The target output power calculation module is used to calculate the target output power of the power generation equipment according to the current output power, the predicted power generation power and the load demand power; The scheduling module is used to generate corresponding output power control instructions according to the target output power to adjust the output power of the power generation equipment.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for controlling the power generation of new energy as claimed in any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the new energy power generation control method as described in any one of claims 1 to 7.

Images