Photovoltaic device control method and apparatus, photovoltaic device, and storage medium

Abstract

Embodiments of the present application relate to a photovoltaic device control method and device, a photovoltaic device and a storage medium. The photovoltaic device control method comprises the following steps: predicting a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a future first time period through weather data, the weather data representing meteorological characteristics affecting the photovoltaic power generation amount; obtaining a current operation mode of an air conditioning module in the photovoltaic device and future operation mode change information; and controlling the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information. Thus, the photovoltaic power generation amount can be predicted according to the weather in a short future time, and the photovoltaic device can be controlled according to the current and future operation modes, so as to solve the problem of insufficient prediction accuracy, make the control of the photovoltaic device more matched with the weather and the operation mode, and improve the accuracy of controlling the photovoltaic device.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of photovoltaic air conditioning, and particularly relate to a photovoltaic device control method and device, a photovoltaic device, and a storage medium. BACKGROUND

[0002] Traditional photovoltaic air conditioner power generation prediction relies on single data, such as historical power generation or data obtained from weather forecasts, and is difficult to cope with short-term weather mutations (such as short-term rainfall and cloud movement), resulting in large photovoltaic power generation prediction deviation, insufficient control accuracy, and difficulty for the air conditioning unit to adjust the output in advance according to the actual situation or switch control modes, and insufficient utilization of photovoltaic power generation.

[0003] Therefore, how to control the photovoltaic device according to the weather condition in a short time and the operation mode of the photovoltaic device to improve the control accuracy of the photovoltaic device has become a problem to be solved. SUMMARY

[0004] In view of this, to solve the above or part of the technical problems, embodiments of the present application provide a photovoltaic device control method and device, a photovoltaic device, and a storage medium.

[0005] In a first aspect, the embodiments of the present application provide a photovoltaic device control method, comprising:

[0006] predicting a photovoltaic power generation of a photovoltaic module in the photovoltaic device in a future first time period according to weather data, the weather data representing meteorological features affecting the photovoltaic power generation;

[0007] obtaining a current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device;

[0008] controlling the photovoltaic device according to the photovoltaic power generation, the current operation mode, and the operation mode change information;

[0009] The method further comprises:

[0010] obtaining real-time weather data, the weather data comprising at least one of the following: weather images, temperature and humidity information, illumination information, and weather prediction information in the first time period;

[0011] extracting meteorological features from the weather data, the meteorological features comprising at least one of the following features: cloud coverage, illumination intensity, and sun position;

[0012] inputting the meteorological features into a trained prediction model to output the photovoltaic power generation of the photovoltaic module in the photovoltaic device in the first time period through the prediction model.

[0013] In a possible implementation, the controlling the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information comprises:

[0014] When the current operation mode is the temperature or humidity adjustment mode, and the operation mode change information comprises switching to the oil return defrosting mode, obtaining a first time point of switching to the oil return defrosting mode;

[0015] When the photovoltaic device is not currently using photovoltaic power generation, and the photovoltaic power generation amount meets the operation requirement of the photovoltaic device, obtaining a second time point at which the photovoltaic module can generate photovoltaic power generation, the second time point being after the first time period;

[0016] Controlling the photovoltaic device according to a time interval between the first time point and the second time point.

[0017] In a possible implementation, the controlling the photovoltaic device according to the time interval between the first time point and the second time point comprises:

[0018] When the first time point is before the second time point, and the time interval is less than or equal to a first threshold, delaying the first time point to be the same as the second time point, when the second time point arrives, controlling the air conditioning module of the photovoltaic device to use photovoltaic power generation, and switching to the oil return defrosting mode.

[0019] In a possible implementation, the controlling the photovoltaic device according to the time interval between the first time point and the second time point comprises:

[0020] When the first time point is before the second time point, and the time interval is greater than the first threshold, determining a compressor frequency of the air conditioning module of the photovoltaic device according to the time interval, the compressor frequency being negatively correlated with the time interval.

[0021] Controlling the air conditioning module of the photovoltaic device to operate at the compressor frequency.

[0022] In a possible implementation, the controlling the photovoltaic device according to the time interval between the first time point and the second time point comprises:

[0023] If the first time point is after the second time point, when the second time point arrives, controlling the air conditioning module of the photovoltaic device to use photovoltaic power generation.

[0024] Or, if the first time is after the second time, the first time is advanced to the same as the second time, when the second time arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation, and switched to the oil return defrosting mode.

[0025] In one possible implementation, the controlling the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information comprises:

[0026] When the current operation mode is the temperature or humidity adjustment mode and the operation mode change information is to keep the current operation mode, it is determined whether the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device.

[0027] When the determination result is that the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation when a second time arrives, the second time is after the first time period.

[0028] In the second aspect, an embodiment of the present application provides a photovoltaic device control device, comprising:

[0029] A prediction module is configured to predict a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a future first time period according to weather data, the weather data representing meteorological features affecting the photovoltaic power generation amount.

[0030] An acquisition module is configured to acquire a current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device.

[0031] A control module is configured to control the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information.

[0032] The prediction module is specifically configured to acquire current weather data in real time, the weather data comprising at least one of the following data: weather images, temperature and humidity information, illumination information and weather prediction information in the first time period.

[0033] Meteorological features are extracted from the weather data, the meteorological features comprising at least one of the following features: cloud coverage, illumination intensity and sun position.

[0034] The meteorological features are input into a trained prediction model, so that the prediction model outputs the photovoltaic power generation amount in the first time period.

[0035] In the third aspect, an embodiment of the present application provides a photovoltaic device, comprising a processor and a memory, the processor is configured to execute a photovoltaic device control program stored in the memory, so as to implement the photovoltaic device control method in any one of the first aspect.

[0036] In a fourth aspect, an embodiment of the present application provides a storage medium, which stores one or more programs, and the one or more programs are executable by one or more processors to implement the photovoltaic device control method according to any one of the first aspect.

[0037] The photovoltaic device control scheme provided by the embodiment of the present application predicts the photovoltaic power generation amount of the photovoltaic module in the photovoltaic device in a future first time period through weather data, the weather data representing meteorological features affecting the photovoltaic power generation amount; obtains the current operation mode and future operation mode change information of the air conditioning module in the photovoltaic device; and controls the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information. In this way, the photovoltaic power generation amount can be predicted according to the weather in a short future time, and the photovoltaic device can be controlled according to the current and future operation modes, so as to solve the problem of insufficient prediction accuracy, make the control of the photovoltaic device more matched with the weather and the operation mode, and improve the accuracy of controlling the photovoltaic device. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 A flowchart of a photovoltaic device control method provided by an embodiment of the present application;

[0039] Figure 2 A flowchart of another photovoltaic device control method provided by an embodiment of the present application;

[0040] Figure 3 A structural diagram of a photovoltaic device control apparatus provided by an embodiment of the present application;

[0041] Figure 4 A structural diagram of a photovoltaic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0043] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the accompanying drawings to make a clear and complete description of the technical solutions in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present application.

[0044] Figure 1A flowchart of a photovoltaic device control method provided by an embodiment of the present application is shown in FIG. 1, which specifically includes the following steps. Figure 1

[0045] S11, predicting a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a future first time period according to weather data, the weather data representing meteorological features affecting the photovoltaic power generation amount.

[0046] The photovoltaic device control method provided by the embodiment of the present application is applied to a photovoltaic device, which can include but is not limited to a photovoltaic air conditioning system, mainly applied to an air conditioning scene that needs to be combined with photovoltaic power generation optimization operation, such as a photovoltaic air conditioning system in a family residence, a commercial office building, an industrial plant, or the like. In these scenes, when the weather is prone to short-term mutations (such as short-term cloudiness and rainstorm), the system can accurately predict the short-term photovoltaic power generation amount through multi-modal data, and control the photovoltaic device according to the current and future operation modes, so as to realize energy saving while ensuring the normal operation of the air conditioner.

[0047] In the embodiment, the photovoltaic device includes a photovoltaic module (for example, a photovoltaic power generation device) and an air conditioning module (for example, an air conditioner). The core function of the photovoltaic module is power generation, which converts solar energy into direct current through a photovoltaic component, and then converts it into alternating current through an inverter. It is the energy supply end of the photovoltaic device, which provides power for the entire photovoltaic device (especially the air conditioning module), reduces the dependence on city power, and realizes energy self-sufficiency or energy saving. The core function of the air conditioning module is environmental regulation (for example, adjusting the environment to refrigerate, heat, dehumidify, etc.), which is the functional execution end responsible for optimizing the indoor environment, which can maintain the indoor temperature through the refrigeration / heating function and control the indoor air humidity through the dehumidification / humidification function. The air conditioning module operates relying on the power provided by the photovoltaic module (or city power supplement).

[0048] The weather data covering the current and future time period directly and indirectly affecting the photovoltaic power generation amount is obtained through a preset system communication interface, which can include but is not limited to solar radiation, sunshine duration, temperature and humidity, environmental temperature, air pressure, cloud coverage, cloud type, precipitation state, wind speed, etc. The obtained data is formed into multi-modal input, covering the key meteorological dimensions related to the photovoltaic power generation amount.

[0049] Further, the weather data is preprocessed, which can include: image type data (such as satellite cloud image) is enhanced through defogging, noise reduction, etc. to improve the clarity, spatial features such as cloud movement track and sun position are extracted, numerical type data (temperature and humidity, radiation) is cleaned and normalized, and time sequence is constructed in combination with time features. Finally, high correlation factors (such as total radiation and air temperature daily range) are selected through feature selection and merged into a real-time updated multi-modal database. It is used to input the trained power generation prediction model to predict the photovoltaic power generation amount. ​

[0050] The power generation prediction model is trained by using an artificial intelligence model such as a deep neural network, and the nonlinear modeling capability thereof is used to capture the complex correlation between the meteorological features and the power generation; real-time meteorological features are input in a fixed cycle (for example, 15 minutes) to predict the photovoltaic power generation in a first time period (for example, 15 min~Tmin).

[0051] In one possible implementation, current weather data is acquired in real time, and the weather data includes at least one of the following: weather images, temperature and humidity information, illumination information, and weather prediction information in the first time period; meteorological features are extracted from the weather data, and the meteorological features include at least one of the following: cloud coverage, illumination intensity, and sun position; and the meteorological features are input into the trained prediction model to output the photovoltaic power generation in the first time period through the prediction model.

[0052] In this embodiment, the weather images can be acquired by using a high-definition camera. The temperature and humidity information is acquired by using a temperature and humidity sensor. The illumination information is acquired by using an irradiation sensor installed on the photovoltaic panel array. The first time period is pre-set (for example, 1-6 hours in the future), and the weather prediction information in the time period is acquired by connecting a third-party weather platform, which can include but is not limited to the following prediction data: temperature change trend, precipitation probability, wind power and direction, and the like.

[0053] Further, the weather data is extracted to obtain meteorological features, and the acquired weather images are used as the data input source. In a first step, image preprocessing is performed, and the Gaussian filtering algorithm is used to remove fog and noise in the satellite cloud image and the ground image. The foggy image model is constructed to estimate the atmospheric light and the transmittance, and the clear image is restored. At the same time, the median filtering algorithm is used to reduce noise and eliminate interference in the image to ensure the image quality. In a second step, semantic segmentation is implemented, and the cloud area and the clear sky area are segmented at the pixel level. The cloud area in the image is marked as white, and the clear sky area is marked as black. In a third step, the cloud coverage is calculated. The total number of pixels of the white cloud area in the segmented image and the total number of pixels of the image are counted, and the cloud coverage is calculated by “cloud coverage = total number of cloud area pixels / total number of image pixels x 100%”.

[0054] The illumination intensity is extracted by using the data collected by the irradiation sensor as the input, and the real-time illumination intensity value is output. The sun position is extracted by using the preset latitude and longitude information of the photovoltaic device and the real-time time as the data input source to calculate, or the relative position of the sun and the photovoltaic module is directly determined by acquiring the sun image.

[0055] After the extraction of various meteorological features, the system performs feature fusion and screening, and only the features highly correlated with the photovoltaic power generation, such as the cloud coverage, the illumination intensity, and the sun elevation angle, are reserved as the input data of the subsequent prediction model.

[0056] The model selection prioritizes an improved LSTM (Long Short-Term Memory) network. During the model training phase, the training dataset uses historical paired data of "meteorological characteristics and actual power generation" for the photovoltaic module. The dataset is divided into training and validation sets according to a preset ratio, and the mean squared error is used as the loss function for model training. By continuously adjusting model parameters (such as the number of hidden layer neurons, learning rate, etc.), the model training is completed when the prediction error on the validation set is less than a preset proportion.

[0057] After the model training is completed, it is deployed to the local processor of the photovoltaic module. In the feature input stage, the extracted and screened meteorological features are first standardized and mapped to the input range set during model training. Then, the model is input into the model so that the model can output the photovoltaic power generation prediction value every 15 minutes within the first preset time period (e.g., 15-60 minutes) and the overall photovoltaic power generation prediction value.

[0058] S12. Obtain information on the current operating mode and future changes in the operating mode of the air conditioning module in the photovoltaic equipment.

[0059] In this embodiment, the photovoltaic equipment includes a photovoltaic module and an air conditioning module. The operating modes of the air conditioning module may include cooling mode, heating mode, dehumidification mode, and oil return defrosting mode. The power generation modes of the photovoltaic equipment may include photovoltaic power generation, energy storage power generation, and grid power generation. The current operating mode of the air conditioning module is acquired in real time. Operating mode change information indicates whether the operating mode of the air conditioning module will change in the future, which operating mode it will switch to, and the timing of the switch. Furthermore, future operating mode change information can be predicted based on historical usage habits, or determined based on currently set future operating modes (e.g., currently at 3 AM, pre-set to switch to oil return defrosting mode at 4 AM daily).

[0060] S13. Control the photovoltaic equipment based on the photovoltaic power generation, current operating mode, and changes in operating mode.

[0061] In this embodiment, most of the photovoltaic power generated by the photovoltaic module is used by the air conditioning module, and a small portion is used by other modules in the photovoltaic equipment; alternatively, all the photovoltaic power generated by the photovoltaic module is used by the air conditioning module. First, it is determined whether the current photovoltaic power generation meets the operating requirements of the photovoltaic equipment. If it does, and the current operating mode is non-oil return defrosting mode, and it is determined based on operating mode change information that it will not switch to oil return defrosting mode in the future, the photovoltaic equipment can be controlled to use photovoltaic power generation when the target time is reached. The target time can be any time after a preset first time period. If the photovoltaic equipment is currently generating photovoltaic power, it can maintain photovoltaic power generation indefinitely.

[0062] If the current photovoltaic power generation is insufficient to meet the power generation requirements of the photovoltaic equipment during operation, then photovoltaic power generation will not be used; only grid power or energy storage power generation will be used, or photovoltaic power generation and grid power or energy storage power generation will be used simultaneously.

[0063] If the current photovoltaic (PV) power generation meets the operational requirements of the PV equipment, and it is determined that the air conditioning module will switch to oil return defrosting mode in the future, then the time interval between the preset PV power generation time and the time of switching to oil return defrosting mode is determined. Based on this time interval, the switching time to oil return defrosting mode is adjusted, or the operating frequency of the compressor in the PV equipment's air conditioning module is adjusted. This ensures that the PV equipment's air conditioning module prioritizes PV power generation in oil return defrosting mode, thereby reducing power consumption during oil return defrosting.

[0064] In one possible implementation, the current operating mode is a temperature or humidity regulation mode, and the operating mode change information includes: when switching to the oil return defrosting mode, obtaining the first moment of switching to the oil return defrosting mode; when the photovoltaic equipment is not currently using photovoltaic power generation and the photovoltaic power generation meets the operating requirements of the photovoltaic equipment, obtaining the second moment when the photovoltaic module can perform photovoltaic power generation, the second moment being after the first time period; and controlling the photovoltaic equipment according to the time interval between the first moment and the second moment.

[0065] In this embodiment, the temperature control mode can be the cooling mode of the air conditioning module, and the humidity control mode can be the dehumidification mode of the air conditioning module. When it is identified from the operating mode change information that a switch to the oil return defrosting mode is required in the future, the moment when the switch to the oil return defrosting mode needs to be completed and the oil return defrosting begins is taken as the first moment. The second moment is the time point when the photovoltaic equipment switches from a non-photovoltaic power generation state to a photovoltaic power generation state. Since the photovoltaic power generation can only meet the operating requirements of the photovoltaic equipment after the first time period, the second moment when photovoltaic power generation begins must be after the first time period, or the second moment can be the end time of the first time period (for example, the first time period is 15 minutes to T minutes in the future, and the second moment can be T minutes).

[0066] According to the size relationship between the first time and the second time and the time interval, the photovoltaic device is controlled, which can specifically include:

[0067] When the first time is before the second time and the time interval is less than or equal to the first threshold, the first time is delayed to be the same as the second time, when the second time arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation, and the air conditioning module is controlled to switch to the oil return defrosting mode.

[0068] In the embodiment, the first threshold (for example, 30 minutes) is preset, if the time interval (15 minutes) ≤ the first threshold (30 minutes), the first time delay mechanism is triggered, a delay instruction is sent to the controller, the first time is changed to be the same as the second time, that is, the starting time of the oil return defrosting is delayed to be consistent with the starting time of the photovoltaic power generation, the photovoltaic power generation is used to supply power for the oil return defrosting, and the electric energy is saved.

[0069] In a possible implementation, the photovoltaic device is controlled according to the time interval between the first time and the second time, and further includes:

[0070] When the first time is before the second time and the time interval is greater than the first threshold, the compressor frequency of the air conditioning module of the photovoltaic device is determined according to the time interval, the compressor frequency is negatively correlated with the time interval, and the air conditioning module of the photovoltaic device is controlled to operate according to the compressor frequency.

[0071] In the embodiment, the first time is before the second time, and the time interval between the two times exceeds the first threshold, so the compressor operating frequency needs to be determined according to the length of the time interval. The corresponding rule between the time interval and the compressor frequency is preset, the frequency decreases with the increase of the time interval, the corresponding compressor frequency coefficient is determined according to different time intervals, the coefficient is less than 1, the compressor frequency to be adjusted at present is obtained by multiplying the standard compressor frequency by the coefficient. For example, the time interval is in a short interval (for example, 30-60 min, the coefficient is 0.8): the compressor frequency is set to eighty percent of the frequency of the current operating mode; the time interval is in a medium interval (for example, 60-120 min, the coefficient is 0.8): the compressor frequency is set to sixty percent of the frequency of the current operating mode. When the time interval exceeds the preset maximum length (for example, >120 min), the frequency is maintained without adjustment, and the oil return defrosting is started at the original planned first time, so as to avoid affecting the reliability of the unit.

[0072] After the frequency is determined, the compressor operates at the determined frequency, and the actual operating frequency of the compressor is checked periodically. If the frequency is abnormally low, the frequency is immediately adjusted to the set frequency to avoid unit failure. When oil return defrosting is started, the compressor frequency can be selected to be raised to the standard frequency required for oil return defrosting. Avoiding component wear due to long intervals and high-frequency operation of the compressor, prolonging the service life of the equipment.

[0073] In one possible implementation, the photovoltaic device is controlled according to the time interval between the first time and the second time, and further comprising:

[0074] If the first time is after the second time, when the second time arrives, the air conditioning module of the photovoltaic device uses photovoltaic power generation; or, if the first time is after the second time, the first time is advanced to the same as the second time, when the second time arrives, the air conditioning module of the photovoltaic device uses photovoltaic power generation, and switches to the oil return defrosting mode.

[0075] In this embodiment, when the second time arrives, the photovoltaic power generation is controlled under the condition that the first time (planned oil return defrosting time) is after the second time (estimated photovoltaic power supply time) and the photovoltaic power generation amount can meet the current operating demand of the air conditioning module. When the first time arrives, if the photovoltaic power supply is normal, the oil return defrosting mode is switched; if the photovoltaic power supply is insufficient, the city power supply is automatically switched to ensure oil return defrosting.

[0076] Or, it is judged that the first time is after the second time, when the second time arrives, the oil return defrosting is performed using photovoltaic power generation, the first time is advanced to be consistent with the second time. The photovoltaic power generation and the oil return defrosting are synchronously controlled. If the photovoltaic power generation fluctuates at the switching moment, the city power supply is immediately started to avoid interruption of oil return defrosting and ensure the maintenance effect of the unit. Thus, according to whether the oil return defrosting needs to be advanced, the corresponding control mode is selected, and the unit maintenance and energy utilization are considered.

[0077] In one possible implementation, the photovoltaic device is controlled according to the photovoltaic power generation amount, the current operating mode, and the operating mode change information, and further comprising:

[0078] When the current operating mode is a temperature or humidity adjustment mode and the operating mode change information is to maintain the current operating mode, it is judged whether the photovoltaic power generation amount meets the operating demand of the air conditioning module of the photovoltaic device; when the judgment result is that it meets, the air conditioning module of the photovoltaic device uses photovoltaic power generation when the second time arrives, and the second time is after the first time interval.

[0079] In this embodiment, when it is determined that the air conditioning module is currently in temperature regulation mode (e.g., cooling or heating mode) or humidity regulation mode (e.g., dehumidification), and based on the operating mode change information, it is confirmed that the current operating mode needs to be maintained without switching to defrosting, the predicted photovoltaic power generation is compared with the operating power consumption in the current operating mode to determine whether the photovoltaic power generation is sufficient to support the continuous operation of the air conditioning module (e.g., the power consumption required to maintain the target temperature and humidity during temperature regulation). If it can cover the operating power consumption of the current mode, it is determined that the requirement is met; if it cannot cover it, it is determined that the requirement is not met. When it is determined that the photovoltaic power generation meets the operating requirements, and it is determined that the air conditioning module can output stably, and when the second time point arrives, the air conditioning module is controlled to switch to the power supply circuit, replacing the original power supply method. If the requirement is not met, the original power supply method is maintained. Thus, while maintaining the air conditioning module's regulation effect, photovoltaic power supply can be used first, reducing mains power consumption and lowering operating costs; there is no need to adjust the regulation mode due to power supply switching, avoiding indoor temperature and humidity fluctuations and ensuring user experience; if the photovoltaic power supply suddenly becomes insufficient, the system automatically switches back to mains power to ensure that the current regulation mode is not interrupted and maintains operational stability. The photovoltaic equipment control method provided in this invention acquires and integrates multimodal data such as weather images, temperature, and humidity, performs enhancement processing, extracts key features such as cloud coverage, light intensity, and solar position, establishes a multimodal database, and updates it in real time. Using this precise data, the photovoltaic power generation over a certain period can be predicted, providing a reliable basis for unit control and solving the problem of insufficient prediction accuracy. Simultaneously, energy-saving effects can also be achieved through changes in unit control.

[0080] Figure 2 This is a schematic flowchart of another photovoltaic device control method provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the method specifically includes:

[0081] Taking a photovoltaic air conditioning system as an example, the photovoltaic air conditioning system includes at least one communication interface, at least one bus connected to the communication interface, and at least one processor connected to the bus. Through the configuration of these processors, high-precision weather data / images can be obtained by acquiring fused weather images, temperature and humidity data, or by acquiring data through satellites, etc., and then enhanced (such as defogging and noise reduction) to extract key features such as cloud coverage, light intensity, and sun position, and establish a multimodal database, thereby providing more accurate weather data and providing more accurate timing for the air conditioning unit to connect to photovoltaic power generation and unit control.

[0082] Without establishing this multimodal database, relying solely on single weather data makes it difficult to accurately predict whether photovoltaic power generation can meet the unit's operational needs within a short period (e.g., 15-30 minutes), thus hindering the optimization of unit control strategies for short periods.

[0083] By establishing more accurate multi-modal data, the short-term power generation prediction error is smaller, and a more accurate reference is provided for air conditioning unit control. The air conditioning unit control can include: 1. The power supply mode of the unit, by predicting the photovoltaic power generation in a short time, it is judged whether the unit power supply is photovoltaic or municipal power or energy storage. 2. The operation mode of the unit, by combining the photovoltaic power generation and the operation mode of the unit, the subsequent operation mode of the unit is judged, mainly judging when the oil return / defrosting occurs. Since oil return / defrosting is full compressor output, the frequency is very large, and the power consumption is large, so if photovoltaic power generation is used during oil return / defrosting, energy saving can be achieved. Therefore, accurate prediction data is needed to facilitate the adjustment of the time of oil return / defrosting to use photovoltaic power generation as much as possible.

[0084] Through the database, the power generation of the photovoltaic unit after a certain time can be predicted to adjust the output of the air conditioning unit compressor.

[0085] The air conditioning unit predicts the photovoltaic power generation in the future 15min~Tmin (T≥15 no upper limit).

[0086] 1. If the unit is currently not using photovoltaic power generation to meet operation, through the multi-modal database, it is predicted that the weather in the future 15min~Tmin is cloudy, there is no sunlight, and the photovoltaic power generation is insufficient for air conditioning., then the air conditioning compressor maintains the current control, uses municipal power supply, or uses photovoltaic stored power supply, and the unit operates according to normal control.

[0087] 2. If the unit is currently not using photovoltaic power generation to meet operation, through the multi-modal database, it is predicted that the weather in the future 15min~Tmin is "cloudy, sunny with sunlight", and the photovoltaic power generation can meet the use of air conditioning at this time., then judge the control mode of the current unit, at this time the unit already knows that it can use photovoltaic power generation after Tmin.

[0088] If the unit is currently in cooling / heating mode, and between 0~Tmin, the unit is still in cooling / heating mode without mode change, then the unit maintains the current operation mode, and after the photovoltaic cut-in, it normally uses photovoltaic power supply.

[0089] If the unit is currently in cooling / heating mode, and will perform oil return / defrosting operation after Xmin.

[0090] At this time, the relationship between X and T is judged, and the unit is controlled as follows:

[0091] If X≥T, the unit is normally controlled, and after T time, the unit normally cuts in photovoltaic power generation.

[0092] If X

[0093] If T-X≤30min, the unit continues to run in the current mode, temporarily does not enter the oil return / defrosting mode, and after the photovoltaic power generation is turned on, the oil return / defrosting is performed again. At this time, the commercial power supply is not used, and the electric energy is saved through photovoltaic power generation.

[0094] If T-X>30min, in order to ensure the reliability of the unit, the unit cannot run at the current frequency for too long, and the compressor needs to be operated at a reduced frequency according to the following control:

[0095] When T-X is 30-60min, the frequency of the compressor is 0.8P.

[0096] When T-X is 60-120min, the frequency of the compressor is 0.6P.

[0097] When T-X>120min, the compressor normally performs oil return / defrosting.

[0098] P is the frequency of the compressor when the unit detects that photovoltaic power generation can be used for 15min-Tmin.

[0099] If the photovoltaic power generation is turned on in advance during the above period, the oil return / defrosting is immediately performed. For example, during T-X=60-120min, there is photovoltaic power generation that can be used, the unit is turned on in the photovoltaic power generation mode, and the unit normally performs oil return / defrosting.

[0100] The photovoltaic device control method provided by the embodiment not only realizes efficient use of photovoltaic energy and reduces consumption of commercial power, but also ensures uninterrupted air conditioning adjustment mode, avoids temperature and humidity fluctuations, and provides a commercial power supply plan to cope with power supply fluctuations, thereby improving the energy saving, stability and user experience of the air conditioner.

[0101] Figure 3 A structure diagram of a photovoltaic device control device provided by the embodiment is shown in FIG. 1. Figure 3 As shown in the figure, the device specifically includes:

[0102] A prediction module 31 is configured to predict a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a future first time period according to weather data, wherein the weather data represents meteorological features affecting the photovoltaic power generation amount.

[0103] An acquisition module 32 is configured to acquire a current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device.

[0104] A control module 33 is configured to control the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information.

[0105] The prediction module is specifically configured to acquire current weather data in real time, and the weather data includes at least one of the following: weather images, temperature and humidity information, illumination information, and weather prediction information in the first time period.

[0106] extract meteorological features from the weather data, and the meteorological features include at least one of the following: cloud coverage, illumination intensity, and sun position;

[0107] input the meteorological features into the trained prediction model, so as to output the photovoltaic power generation amount in the first time period through the prediction model.

[0108] In one possible implementation, the control module is specifically configured to, when the current operation mode is a temperature or humidity adjustment mode, and the operation mode change information includes switching to the oil return defrosting mode, acquire a first time point of switching to the oil return defrosting mode;

[0109] when the photovoltaic device is not currently using photovoltaic power generation, and the photovoltaic power generation amount meets the operation requirement of the photovoltaic device, acquire a second time point at which the photovoltaic module can generate photovoltaic power generation, and the second time point is after the first time period;

[0110] control the photovoltaic device according to a time interval between the first time point and the second time point.

[0111] In one possible implementation, the control module is specifically configured to, when the first time point is before the second time point, and the time interval is less than or equal to a first threshold, delay the first time point to the same as the second time point, when the second time point arrives, control the air conditioning module of the photovoltaic device to use photovoltaic power generation, and switch to the oil return defrosting mode.

[0112] In one possible implementation, the control module is specifically configured to, when the first time point is before the second time point, and the time interval is greater than the first threshold, determine a compressor frequency of the air conditioning module of the photovoltaic device according to the time interval, and the compressor frequency is negatively correlated with the time interval.

[0113] control the air conditioning module of the photovoltaic device to operate at the compressor frequency.

[0114] In one possible implementation, the control module is specifically configured to, when the first time point is after the second time point, when the second time point arrives, control the air conditioning module of the photovoltaic device to use photovoltaic power generation.

[0115] Alternatively, if the first moment is after the second moment, the first moment is brought forward to be the same as the second moment. When the second moment arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation and switch to the oil return defrosting mode.

[0116] In one possible implementation, the control module is specifically used to determine whether the photovoltaic power generation meets the operating requirements of the air conditioning module of the photovoltaic equipment when the current operating mode is a temperature or humidity adjustment mode and the operating mode change information is to maintain the current operating mode.

[0117] When the judgment result is satisfied, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation when the second time moment arrives, which is after the first time period.

[0118] The photovoltaic equipment control device provided in this embodiment can be as follows: Figure 4 The apparatus shown can perform, as Figures 1-2 All steps of the photovoltaic equipment control method are implemented to achieve... Figures 1-2 For details on the technical effects of the photovoltaic equipment control method shown, please refer to [link / reference]. Figures 1-2 The relevant descriptions are presented concisely and will not be elaborated upon here.

[0119] Figure 4 This is a schematic diagram of the structure of a photovoltaic device provided in an embodiment of the present invention. Figure 4 The photovoltaic device 400 shown includes at least one processor 401, a memory 402, at least one network interface 404, and other user interfaces 403. The various components in the photovoltaic device 400 are coupled together via a bus system 405. It is understood that the bus system 405 is used to enable communication between these components. In addition to a data bus, the bus system 405 also includes a power bus, a control bus, and a status signal bus. However, for clarity, ... Figure 4 The general designated all buses as Bus System 405.

[0120] The user interface 403 may include a display, keyboard, or clicking device (e.g., mouse, trackball, touchpad, or touchscreen).

[0121] It is to be appreciated that the memory 402 in the embodiments of the present application can be a volatile memory or a nonvolatile memory, or can include both volatile and nonvolatile memory. Among them, the nonvolatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a Random Access Memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM can be used, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 402 described herein is intended to include, without being limited to, these and any other suitable types of memory.

[0122] In some embodiments, the memory 402 stores the following elements, executable units or data structures, or a subset of them, or an extended set of them: an operating system 4021 and application programs 4022.

[0123] Among them, the operating system 4021 contains various system programs, such as framework layer, core library layer, driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application programs 4022 contain various application programs, such as Media Player, Browser, etc., for implementing various application services. The programs for implementing the method embodiments of the present application can be contained in the application programs 4022.

[0124] In the embodiments of the present application, by calling the programs or instructions stored in the memory 402, specifically, the programs or instructions stored in the application programs 4022, the processor 401 is used to execute the method steps provided by each method embodiment, for example, including:

[0125] predict a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a first time period in the future according to weather data, the weather data representing meteorological features affecting the photovoltaic power generation amount;

[0126] obtain a current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device;

[0127] control the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information;

[0128] The method further includes:

[0129] obtain real-time weather data, the weather data including at least one of the following: weather images, temperature and humidity information, light information and weather prediction information in the first time period;

[0130] extract meteorological features from the weather data, the meteorological features including at least one of the following: cloud coverage, light intensity, sun position;

[0131] input the meteorological features into a trained prediction model to output the photovoltaic power generation amount of the photovoltaic module in the photovoltaic device in the first time period through the prediction model.

[0132] In one possible implementation, when the current operation mode is a temperature or humidity adjustment mode, and the operation mode change information includes switching to an oil return defrosting mode, obtain a first time point of switching to the oil return defrosting mode;

[0133] When the photovoltaic device is not currently using photovoltaic power generation, and the photovoltaic power generation amount meets the operation requirement of the photovoltaic device, obtain a second time point at which the photovoltaic module can generate photovoltaic power, the second time point being after the first time period;

[0134] control the photovoltaic device according to a time interval between the first time point and the second time point.

[0135] In one possible implementation, when the first time point is before the second time point, and the time interval is less than or equal to a first threshold, delay the first time point to the same as the second time point, and when the second time point arrives, control the air conditioning module of the photovoltaic device to use photovoltaic power generation and switch to the oil return defrosting mode.

[0136] In a possible implementation, when the first time is before the second time, and the time interval is greater than a first threshold, a compressor frequency of an air conditioning module of the photovoltaic device is determined according to the time interval, and the compressor frequency is negatively correlated with the time interval.

[0137] The air conditioning module of the photovoltaic device is controlled to operate at the compressor frequency.

[0138] In a possible implementation, if the first time is after the second time, when the second time arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation.

[0139] Or, if the first time is after the second time, the first time is brought forward to be the same as the second time, when the second time arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation, and is switched to the oil return defrosting mode.

[0140] In a possible implementation, when the current operation mode is a temperature or humidity adjustment mode, and the operation mode change information is to keep the current operation mode, it is determined whether the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device.

[0141] When the determination result is that the photovoltaic power generation amount meets the operation requirement, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation when a second time arrives, and the second time is after the first time period.

[0142] The method disclosed by the embodiments of the present application can be applied to the processor 401 or implemented by the processor 401. The processor 401 can be an integrated circuit chip having a signal processing capability. In the implementation process, the steps of the method can be completed by an integrated logic circuit or an instruction in the form of software in the processor 401. The processor 401 described above can be a general processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software units in the code processor for execution. The software unit can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory, an electrically erasable programmable read only memory, a register or other mature storage medium in the art. The storage medium is located in the memory 402, and the processor 401 reads the information in the memory 402, and combines the hardware to complete the steps of the above method.

[0143] It can be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described in the present application, or a combination thereof.

[0144] For software implementation, the techniques described herein can be implemented with a unit that performs the functions described herein. The software code can be stored in a memory and executed by a processor. The memory can be implemented in the processor or outside the processor.

[0145] The photovoltaic device provided by the embodiment can be a device as shown in Figure 4 The photovoltaic device provided by the embodiment can be a device as shown in Figures 1-2 The photovoltaic device provided by the embodiment can be a device as shown in Figures 1-2 The photovoltaic device provided by the embodiment can be a device as shown in Figures 1-2 The photovoltaic device provided by the embodiment can be a device as shown in

[0146] The embodiment of the present application further provides a storage medium (computer readable storage medium). The storage medium stores one or more programs. The storage medium can include a volatile memory, such as a random access memory; the storage medium can also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid state disk; and the storage medium can also include a combination of the above-mentioned memories.

[0147] When the one or more programs stored in the storage medium are executed by one or more processors, the above-mentioned photovoltaic device control method executed on the device side can be implemented.

[0148] The processor is configured to execute the photovoltaic device control program stored in the memory, so as to implement the following steps of the photovoltaic device control method executed on the device side:

[0149] According to the weather data, the photovoltaic power generation of the photovoltaic module in the photovoltaic device in a future first time period is predicted, and the weather data represents a meteorological feature affecting the photovoltaic power generation;

[0150] Current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device are obtained;

[0151] According to the photovoltaic power generation, the current operation mode and the operation mode change information, the photovoltaic device is controlled;

[0152] The photovoltaic power generation of the photovoltaic module in the photovoltaic device in a future first time period is predicted according to weather data, and the weather data represents a meteorological feature affecting the photovoltaic power generation.

[0153] Real-time weather data is obtained, and the weather data includes at least one of the following data: weather image, temperature and humidity information, illumination information and weather prediction information in the first time period;

[0154] Meteorological features are extracted from the weather data, and the meteorological features include at least one of the following features: cloud coverage, illumination intensity and sun position;

[0155] The meteorological features are input into a trained prediction model, so as to output the photovoltaic power generation of the photovoltaic module in the photovoltaic device in the first time period through the prediction model.

[0156] In a possible implementation, when the current operation mode is the temperature or humidity adjustment mode, and the operation mode change information comprises: switching to the oil return defrosting mode, a first time point of switching to the oil return defrosting mode is acquired;

[0157] When the photovoltaic device is not currently used for photovoltaic power generation, and the photovoltaic power generation amount meets the operation requirement of the photovoltaic device, a second time point at which the photovoltaic module can generate photovoltaic power is acquired, and the second time point is after the first time period.

[0158] The photovoltaic device is controlled according to a time interval between the first time point and the second time point.

[0159] In a possible implementation, when the first time point is before the second time point, and the time interval is less than or equal to a first threshold, the first time point is delayed to be the same as the second time point, when the second time point arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation, and the oil return defrosting mode is switched to.

[0160] In a possible implementation, when the first time point is before the second time point, and the time interval is greater than the first threshold, a compressor frequency of the air conditioning module of the photovoltaic device is determined according to the time interval, and the compressor frequency is negatively correlated with the time interval.

[0161] The air conditioning module of the photovoltaic device is controlled to operate at the compressor frequency.

[0162] In a possible implementation, if the first time point is after the second time point, when the second time point arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation.

[0163] Or, if the first time point is after the second time point, the first time point is advanced to be the same as the second time point, when the second time point arrives, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation, and the oil return defrosting mode is switched to.

[0164] In a possible implementation, when the current operation mode is the temperature or humidity adjustment mode, and the operation mode change information is to keep the current operation mode, it is determined whether the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device.

[0165] When the determination result is that the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation when a second time point arrives, and the second time point is after the first time period.

[0166] Those skilled in the art should further appreciate that the elements and algorithms described in connection with the examples disclosed herein can be embodied in electronic hardware, computer software, or in combinations of both. To clearly illustrate this interchangeability of hardware and software, various examples have been described herein in terms of their general functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans can implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

[0167] The steps of a method or algorithm described in connection with the examples disclosed herein can be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module can reside in RAM, flash memory, ROM, electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. The present application can be implemented as a method, apparatus, or article of manufacture using standard programming and / or engineering techniques.

[0168] The specific implementations described above are examples for implementing the application and the application is not limited to only the details given in the above description. The above description is merely intended to teach a person of ordinary skill in the art how to make and use the application. The best mode for practicing the application has been disclosed along with the preferred embodiment. The description and drawings are not intended to limit the scope of the application, which is defined by the claims.

Claims

1. A photovoltaic device control method, characterized by, The method comprises: predicting, according to weather data, a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a first future time period, the weather data representing meteorological features affecting the photovoltaic power generation amount; obtaining current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device; controlling the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information; the method of predicting, according to weather data, a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a first future time period comprises: obtaining current weather data in real time, the weather data comprising at least one of the following data: weather image, temperature and humidity information, illumination information and weather prediction information in the first time period; extracting meteorological features from the weather data, the meteorological features comprising at least one of the following features: cloud coverage, illumination intensity, sun position; inputting the meteorological features into a trained prediction model to output the photovoltaic power generation amount of the photovoltaic module in the photovoltaic device in the first time period through the prediction model; the method of controlling the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information comprises: when the current operation mode is a temperature or humidity adjustment mode and the operation mode change information comprises switching to an oil return defrosting mode, obtaining a first time point of switching to the oil return defrosting mode; when the photovoltaic device is not currently using photovoltaic power generation and the photovoltaic power generation amount meets the operation requirement of the photovoltaic device, obtaining a second time point at which the photovoltaic module can generate photovoltaic power, the second time point being after the first time period; controlling the photovoltaic device according to the time interval between the first time point and the second time point; the method of controlling the photovoltaic device according to the time interval between the first time point and the second time point comprises: when the first time point is before the second time point and the time interval is less than or equal to a first threshold, delaying the first time point to be the same as the second time point, when the second time point arrives, controlling the air conditioning module of the photovoltaic device to use photovoltaic power generation and switch to the oil return defrosting mode; when the first time point is before the second time point and the time interval is greater than the first threshold, determining a compressor frequency of the air conditioning module of the photovoltaic device according to the time interval, the compressor frequency being negatively correlated with the time interval; controlling the air conditioning module of the photovoltaic device to operate at the compressor frequency.

2. The method of claim 1, wherein, the method of controlling the photovoltaic device according to the time interval between the first time point and the second time point comprises: if the first time point is after the second time point, when the second time point arrives, controlling the air conditioning module of the photovoltaic device to use photovoltaic power generation; or, if the first time point is after the second time point, advancing the first time point to be the same as the second time point, when the second time point arrives, controlling the air conditioning module of the photovoltaic device to use photovoltaic power generation and switch to the oil return defrosting mode.

3. The method of claim 1, wherein, The control of the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information comprises: when the current operation mode is a temperature or humidity adjustment mode, and the operation mode change information is to keep the current operation mode, it is determined whether the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device; when the determination result is that the photovoltaic power generation amount meets the operation requirement of the air conditioning module of the photovoltaic device, the air conditioning module of the photovoltaic device is controlled to use photovoltaic power generation when a second time arrives, the second time being after the first time period.

4. A photovoltaic device control device, characterized by, comprise: a prediction module configured to predict a photovoltaic power generation amount of a photovoltaic module in the photovoltaic device in a future first time period according to weather data, the weather data representing meteorological features affecting the photovoltaic power generation amount; an acquisition module configured to acquire a current operation mode and future operation mode change information of an air conditioning module in the photovoltaic device; a control module configured to control the photovoltaic device according to the photovoltaic power generation amount, the current operation mode and the operation mode change information; the prediction module is specifically configured to acquire current weather data in real time, the weather data comprising at least one of the following data: weather images, temperature and humidity information, illumination information and weather prediction information in the first time period; extract meteorological features from the weather data, the meteorological features comprising at least one of the following features: cloud coverage, illumination intensity, sun position; input the meteorological features into a trained prediction model to output the photovoltaic power generation amount in the first time period through the prediction model; the control module is specifically configured to, when the current operation mode is a temperature or humidity adjustment mode, and the operation mode change information comprises switching to an oil return defrosting mode, acquire a first time of switching to the oil return defrosting mode; when the photovoltaic device is not currently using photovoltaic power generation, and the photovoltaic power generation amount meets the operation requirement of the photovoltaic device, acquire a second time when the photovoltaic module can generate photovoltaic power, the second time being after the first time period; control the photovoltaic device according to a time interval between the first time and the second time; when the first time is before the second time, and the time interval is less than or equal to a first threshold, delay the first time to be the same as the second time, and when the second time arrives, control the air conditioning module of the photovoltaic device to use photovoltaic power generation and switch to the oil return defrosting mode; when the first time is before the second time, and the time interval is greater than the first threshold, determine a compressor frequency of the air conditioning module of the photovoltaic device according to the time interval, the compressor frequency being negatively correlated with the time interval; control the air conditioning module of the photovoltaic device to operate at the compressor frequency.

5. A photovoltaic device, characterized by comprise: a processor and a memory, the processor being configured to execute a photovoltaic device control program stored in the memory to implement the photovoltaic device control method in any one of claims 1-3.

6. A storage medium, characterized by The storage medium stores one or more programs, which can be executed by one or more processors to implement the photovoltaic device control method of any one of claims 1-3.

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