Equipment loss control method and device applied to photovoltaic power station, equipment and medium

Abstract

The invention provides an equipment loss control method and device applied to a photovoltaic power station, equipment and a medium. The method comprises the following steps: acquiring environment information in a preset historical time period; wherein the environment information represents the illumination intensity of the environment where the to-be-controlled equipment is located and the duration of the illumination intensity; according to the environment information in a preset historical time period, predicting the environment information of the environment where the to-be-controlled equipment is located in a preset target time period; wherein the preset target time period is a period of time after the current time; and controlling a switch of the to-be-controlled equipment according to the environment information of the environment where the to-be-controlled equipment is located within the preset target time period. According to the method, control over the photovoltaic power generation equipment is enhanced, and the energy utilization efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic power generation, and in particular to a method, device, equipment and medium for controlling equipment loss applied to photovoltaic power stations. Background Art

[0002] Solar energy is an important, pollution-free, and cheap energy source. Photovoltaic power generation technology is a technology that converts light energy into electrical energy. Currently, the photovoltaic power generation industry is in a rapid development stage, has received widespread attention, and faces many challenges. In the case of insufficient light intensity, the power generation of photovoltaic power stations is insufficient, and the auxiliary equipment of photovoltaic power stations also consumes a lot of electricity.

[0003] Therefore, how to control the equipment in the photovoltaic power station and reduce the power consumption of the photovoltaic power station when the light intensity is insufficient to increase the power generation capacity of the photovoltaic power station is an urgent problem to be solved. Summary of the invention

[0004] The present application provides a method, device, equipment and medium for controlling equipment loss in a photovoltaic power station, which are used to control equipment in the photovoltaic power station to reduce useless energy consumption of auxiliary equipment.

[0005] On the one hand, the present application provides a device loss control method applied to a photovoltaic power station, the method being applied to a device to be controlled in the photovoltaic power station, comprising:

[0006] Obtaining environmental information within a preset historical time period; wherein the environmental information represents the light intensity and duration of the light intensity in the environment where the device to be controlled is located;

[0007] According to the environmental information in the preset historical time period, predict the environmental information of the environment where the device to be controlled is located in the preset target time period; wherein the preset target time period is a period of time after the current time;

[0008] According to the environment information of the environment where the device to be controlled is located within a preset target time period, the switch of the device to be controlled is controlled; wherein, the control of the switch of the device to be controlled is used to control the loss of the device to be controlled.

[0009] Optionally, as in the above method, controlling the switch of the device to be controlled according to the environmental information of the environment where the device to be controlled is located within a preset target time period includes:

[0010] Determine the equipment level of the equipment to be controlled; the equipment level represents the importance and energy consumption level of the equipment;

[0011] If it is determined that the device to be controlled meets the preset control condition according to the device level of the device to be controlled and the environmental information of the environment where the device to be controlled is located within the preset target time period, the switch of the device to be controlled is controlled.

[0012] Optionally, as in the above method, if it is determined that the device to be controlled meets the preset control condition according to the device level of the device to be controlled and the environmental information of the environment where the device to be controlled is located within the preset target time period, then the switch of the device to be controlled is controlled, including:

[0013] Determine the light threshold value corresponding to the device level of the device to be controlled according to the association relationship between the preset device level and the light threshold value;

[0014] If the environment information of the environment where the device to be controlled is located within the preset target time period contains a light threshold corresponding to the device level of the device to be controlled, the switch of the device to be controlled is controlled according to the current state of the device to be controlled.

[0015] Optionally, as in the above method, if there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within the preset target time period, then according to the current state of the device to be controlled, the switch of the device to be controlled is controlled, including:

[0016] If there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within the preset target time period, the light threshold corresponding to the device level of the device to be controlled is determined as the target light intensity, and the duration of the target light intensity in the environmental information of the environment where the device to be controlled is located within the preset target time period is determined;

[0017] Determine the duration corresponding to the device level of the device to be controlled according to the preset association relationship between the device level and the duration;

[0018] If the duration of the target light intensity is greater than the duration corresponding to the device level of the device to be controlled, the switch of the device to be controlled is controlled according to the current state of the device to be controlled.

[0019] Optionally, the method as described above further includes:

[0020] According to the preset threshold update cycle, the light intensity at different times and the power consumption of the device to be controlled are obtained;

[0021] According to the power consumption of the device to be controlled at the different moments, the light threshold corresponding to the device level of the device to be controlled is updated from the light intensity at the different moments.

[0022] Optionally, as in the above method, predicting the environmental information of the environment where the device to be controlled is located within a preset target time period according to the environmental information within a preset historical time period includes:

[0023] Preprocessing the environmental information within a preset historical time period to obtain preprocessed environmental information;

[0024] According to the preprocessed environmental information, the environmental information of the environment where the device to be controlled is located within a preset target time period is predicted.

[0025] Optionally, as in the above method, preprocessing the environmental information within a preset historical time period to obtain the preprocessed environmental information includes:

[0026] If it is determined that there are missing values ​​in the environmental information within the preset historical time period, the missing values ​​are supplemented to obtain first processed information; wherein the first processed information represents the supplemented environmental information;

[0027] If it is determined that there are abnormal values ​​in the first processed information according to the preset numerical standard range, the abnormal values ​​are eliminated to obtain second processed information; wherein the abnormal values ​​are values ​​that are not within the preset numerical standard range, and the second processed information represents the first processed information retained after the elimination process;

[0028] The second processed information is normalized to obtain pre-processed environmental information.

[0029] Optionally, as in the above method, predicting the environmental information of the environment where the device to be controlled is located within a preset target time period according to the preprocessed environmental information includes:

[0030] Through a preset neural network model, feature extraction is performed on the preprocessed environmental information to obtain a feature vector corresponding to the preprocessed environmental information;

[0031] According to the feature vector corresponding to the preprocessed environmental information, the environmental information of the environment where the device to be controlled is located within a preset target time period is predicted.

[0032] Optionally, as in the above method, the device to be controlled is an energy storage device, and the energy storage device is used to store electrical energy and perform charging and discharging operations; the method further includes:

[0033] In response to a power acquisition instruction, determining current remaining power information and current environmental information in the energy storage device; wherein the power acquisition instruction includes the power to be acquired;

[0034] Determine the current target power according to the current environment information; wherein the current target power is the maximum power under the current environment information;

[0035] According to the power to be acquired, the current target power, and the current remaining power information, it is determined whether the energy storage device performs a charging operation or a discharging operation.

[0036] On the other hand, the present application provides an equipment loss control device applied to a photovoltaic power station, comprising:

[0037] An acquisition unit, used to acquire environmental information within a preset historical time period; wherein the environmental information represents the light intensity and duration of the light intensity in the environment where the device to be controlled is located;

[0038] A prediction unit, used to predict the environmental information of the environment where the device to be controlled is located within a preset target time period according to the environmental information within a preset historical time period; wherein the preset target time period is a period of time after the current time;

[0039] The control unit is used to control the switch of the device to be controlled according to the environmental information of the environment where the device to be controlled is located within a preset target time period; wherein, controlling the switch of the device to be controlled is used to control the loss of the device to be controlled.

[0040] In a third aspect, an electronic device is provided, including:

[0041] at least one processor, and a memory in communication with the processor;

[0042] The memory stores computer-executable instructions;

[0043] The processor executes the computer-executable instructions stored in the memory to implement the method described in any one of the first aspects.

[0044] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any one of the methods described in the first aspect.

[0045] According to a fifth aspect, a computer program product comprises a computer program, wherein when the computer program is executed by a processor, the method described in any one of the first aspects is implemented.

[0046] The device loss control method, device, equipment and medium provided in the present application for photovoltaic power stations obtains environmental information of the environment within a period of time, and predicts the light intensity and duration of a period of time in the future based on the environmental information during this period. According to the predicted light intensity and duration, the switch of the device to be controlled is controlled, and the light trend of the future period of time is accurately predicted. The device to be controlled is controlled according to the light trend, which reduces the power consumption of the device to be controlled in low light conditions, improves the control accuracy of the device, and improves the energy efficiency of the photovoltaic power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0048] Figure 1 A schematic diagram of a flow chart of a method for controlling equipment loss in a photovoltaic power station provided by an embodiment of the present disclosure;

[0049] Figure 2 A schematic diagram of a flow chart of a method for controlling equipment loss in a photovoltaic power station provided by an embodiment of the present disclosure;

[0050] Figure 3 A schematic diagram of a flow chart of a method for controlling equipment loss in a photovoltaic power station provided by an embodiment of the present disclosure;

[0051] Figure 4 A structural block diagram of an equipment loss control device applied to a photovoltaic power station provided by an embodiment of the present disclosure;

[0052] Figure 5 A structural block diagram of an equipment loss control device applied to a photovoltaic power station provided by an embodiment of the present disclosure;

[0053] Figure 6 A structural block diagram of an electronic device provided in an embodiment of the present disclosure;

[0054] Figure 7 A block diagram of an electronic device provided in an embodiment of the present disclosure.

[0055] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0056] In order to make the objectives, technical solutions and advantages of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0057] It should be clear that the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0058] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are only examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims.

[0059] In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances. In addition, in the description of the present application, unless otherwise specified, "multiple" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship.

[0060] First, the terms involved in this application are explained:

[0061] Photovoltaic power station: A photovoltaic power station refers to a photovoltaic power generation system that utilizes solar energy and adopts special materials such as crystalline silicon panels, inverters and other electronic components. It is connected to the power grid and transmits electricity to the power grid.

[0062] Long-Short Term Memory (LSTM) is a type of neural network containing LSTM blocks or other neural networks, which is suitable for processing and predicting important events with very long intervals and delays in time series.

[0063] Gradient descent method: It is a first-order optimization algorithm. To use the gradient descent method to find the local minimum of a function, it is necessary to iteratively search for points with a specified step length in the opposite direction of the gradient (or approximate gradient) corresponding to the current point on the function.

[0064] Inverter: A key device that converts the direct current generated by photovoltaic panels into alternating current. It is the part with the largest energy consumption in the photovoltaic system.

[0065] Supervisory Control and Data Acquisition System (SCADA): responsible for collecting power plant operation data, status monitoring and fault alarm.

[0066] Cooling system: used to keep inverters and other heat-sensitive equipment running at an appropriate temperature.

[0067] Communication equipment: including data transmission equipment, network routers, etc., used for information exchange within and outside the system.

[0068] Safety and protection devices: such as circuit breakers, lightning protection facilities, etc., to ensure system safety.

[0069] Lighting system: lighting equipment inside or around a photovoltaic power station.

[0070] Step-up / step-down transformer: used to adjust voltage to match grid demand.

[0071] Photovoltaic power generation, as a technology that converts light energy into electrical energy, has a wide range of applications. With the intensification of the energy crisis and the concern about environmental issues, photovoltaic power generation, as a renewable energy source, has received widespread attention. The photovoltaic power generation industry is in a rapid development stage.

[0072] In terms of photovoltaic power generation technology progress, photovoltaic power generation technology continues to mature and costs are reduced, but technical bottlenecks and technical pain points still exist, especially in poor lighting conditions such as at night or on rainy days, photovoltaic power stations almost do not generate electricity, and various auxiliary equipment in photovoltaic power stations remain in standby mode, resulting in no-load losses. Existing solutions mostly rely on direct judgment between hardware and lack intelligent dynamic management methods that are adapted to local conditions.

[0073] The specific application scenario of this application is a photovoltaic power station, which is used to predict the light intensity and duration in the future based on environmental information within a period of time, and control the switching of the controlled equipment in the photovoltaic power station according to the light intensity and duration, thereby reducing the loss of the photovoltaic power station when the lighting conditions are poor.

[0074] The device loss control method applied to a photovoltaic power station provided in the present application is intended to solve the above technical problems of the prior art.

[0075] It should be noted that due to space limitations, this application specification does not list all optional implementation methods. After reading this application specification, those skilled in the art should be able to think that as long as the technical features do not contradict each other, any combination of technical features can constitute an optional implementation method. Each embodiment is described in detail below.

[0076] Figure 1 This is a flow chart of a method for controlling equipment loss applied to a photovoltaic power station according to an embodiment of the present disclosure. The method is applied to a photovoltaic power station, in which a plurality of different types of equipment to be controlled are configured. The method can be executed by an equipment loss control device applied to a photovoltaic power station.

[0077] like Figure 1 As shown, the method comprises the following steps:

[0078] S101. Obtain environmental information within a preset historical time period; wherein the environmental information represents the light intensity and the duration of the light intensity in the environment where the device to be controlled is located.

[0079] Exemplarily, a period of time in the past is preset as a historical time period. That is, the preset historical time period is a period of time before the current time, for example, one week or one month. The environmental information of the location of the photovoltaic power station within the preset historical time period is obtained. The environmental information may include the light intensity at the location of the photovoltaic power station, as well as time series data corresponding to the light intensity, weather conditions, season information, geographical location information, and other information. The time series data corresponding to the light intensity can be expressed as the light intensity at different times, that is, the duration of the light intensity at a certain intensity can be obtained.

[0080] S102. Predicting the environmental information of the environment of the device to be controlled within a preset target time period based on the environmental information within a preset historical time period; wherein the preset target time period is a period of time after the current time.

[0081] Exemplarily, the device to be controlled is a device running in a photovoltaic power station, for example, the device to be controlled is an auxiliary device in the photovoltaic power station, used to assist the photovoltaic power station in power generation. The device to be controlled may be at least one of an inverter, a monitoring and data acquisition system, a cooling system, a communication device, a safety and protection device, a lighting system, and a step-up / step-down transformer. The preset target time period is a period of time after the current time. To ensure the longest time period for accurate prediction of environmental information, the target time period may be the next 24 hours.

[0082] After obtaining the environmental information within the preset historical time period, the environmental information within the preset historical time period is processed according to the preset environmental information prediction algorithm to predict the environmental information of the environment where the equipment to be controlled in the photovoltaic power station is located within the preset target time period. That is, the magnitude of the light intensity that the photovoltaic power station may be exposed to in the future period of time, as well as the duration of different light intensities, are obtained. Among them, the preset environmental information prediction algorithm is used to predict the environmental information of the environment where the equipment to be controlled is located within the target time period. For example, the preset environmental information prediction algorithm can be based on the change trend of the light intensity in the environmental information, and estimate the light intensity and the duration of the light intensity in the environmental information within the target time period.

[0083] In this embodiment, during the prediction process, the environmental information can be automatically screened and calculated. For example, an information prediction model can be preset, and the environmental information in a preset historical time period is input into the preset information prediction model, and the information prediction model outputs the prediction result. In this embodiment, the preset information prediction model can be a pre-built neural network model, and the model structure of the preset information prediction model is not specifically limited.

[0084] S103 . Controlling the switch of the device to be controlled according to the environment information of the environment where the device to be controlled is located within a preset target time period; wherein, controlling the switch of the device to be controlled is used to control the loss of the device to be controlled.

[0085] Exemplarily, a control rule for the device to be controlled is preset, and the control rule for the device to be controlled is used to control the device to be controlled according to the environmental information. Controlling the device to be controlled may refer to controlling the working state of the device to be controlled, for example, the device to be controlled may be turned on, dormant, turned off, and other states. The control rule for the device to be controlled may be that when the light intensity value in the environmental information is lower than the preset light threshold, all the devices to be controlled are turned off; when the light intensity value in the environmental information is greater than the preset light threshold, all the devices to be controlled are turned on. Alternatively, if the duration of a certain light intensity is greater than a preset time length threshold, the device to be controlled whose light intensity is lower than the light intensity is turned on and the device to be controlled whose light intensity is greater than the light intensity is turned off; if the duration of a certain light intensity is less than the preset time length threshold, the current working state of the device to be controlled is maintained, that is, the device to be controlled is not controlled. Turning on the light is the light intensity value that turns on the device to be controlled without generating additional losses. After obtaining the environment information within the preset target time period, the controlled device is controlled according to the light intensity information in the environment information and the duration corresponding to the light intensity information, and the controlled device is turned on and off. The control of the switch of the controlled device is used to control the loss of the controlled device.

[0086] In this embodiment, the device to be controlled is an energy storage device, which is used to store electrical energy and perform charging and discharging operations; the method also includes: in response to a power acquisition instruction, determining the current remaining power information and current environmental information in the energy storage device; wherein the power acquisition instruction includes the power to be acquired; according to the current environmental information, determining the current target power; wherein the current target power is the maximum power under the current environmental information; according to the power to be acquired, the current target power, and the current remaining power information, determining whether the energy storage device performs a charging operation or a discharging operation.

[0087] Specifically, the device to be controlled may also be an energy storage device, which is used to store the electric energy of the photovoltaic power station and perform charging and discharging operations according to actual needs.

[0088] In response to the power acquisition instruction issued by the power grid during the power generation dispatching stage, the current remaining power information and the current environmental information in the energy storage device are determined. The power acquisition instruction represents the dispatching instruction of the power grid, and the power acquisition instruction may include the power generation power currently required by the power grid, that is, the power to be acquired.

[0089] According to the light intensity information in the current environmental information, the target power of the current photovoltaic power station is determined. The target power is the maximum power that the power generation equipment in the photovoltaic power station can output under the current light intensity, that is, the maximum power under the current environmental information. A calculation formula for the target power can be preset, and the light intensity is substituted into the calculation formula to obtain the target power. In this embodiment, the calculation formula is not specifically limited.

[0090] The operation rules of the energy storage device are pre-set, and the operation rules of the energy storage device are used to determine the charging or discharging state of the energy storage device according to the power to be obtained, the current target power, and the current remaining power information. The operation rules of the energy storage device can be, for example:

[0091]

[0092] Among them, P pv is the overall output power of the photovoltaic power station; P ess is the charge and discharge instruction of the energy storage device, P ess A negative value indicates that the energy storage device enters the charging state. ess A positive value indicates that the energy storage device has entered the discharge state, P ess 0 means that the energy storage device is neither charging nor discharging; P max is the target power of the current photovoltaic power station; P ref P is the power to be acquired in the power acquisition instruction; loss is the power consumption of the device to be controlled. SOC is the remaining power of the energy storage device. min The SOC is the minimum value of the remaining power in the preset energy storage device. max is the maximum value of the remaining power in the preset energy storage device. min <SOC<SOC max When SOC≥SOC max When SOC <SOC min The energy storage device cannot be discharged.

[0093] When SOC ≥ SOC min When the energy storage device can discharge, and Pref ≥P max , that is, when the power to be obtained is greater than or equal to the target power of the current photovoltaic power station, P pv =P max , that is, the output power of the photovoltaic power station is the target power of the current photovoltaic power station, and the charge and discharge instruction P of the energy storage device ess is the power to be obtained P ref Subtract the target power P of the photovoltaic power station max , plus the power consumption P of the device to be controlled loss .

[0094] In SOC <SOC min When the energy storage device cannot be discharged, and P ref ≥P max , that is, when the power to be obtained is greater than or equal to the target power of the current photovoltaic power station, P pv =P max , that is, the output power of the photovoltaic power station is the target power of the current photovoltaic power station, and the charge and discharge instruction value of the energy storage device is 0.

[0095] When SOC ≥ SOC min When the energy storage device can discharge, and P max -P loss ≤P ref <P max , that is, when the power to be obtained is greater than the target power of the current photovoltaic power station minus the power consumption of the device to be controlled, and less than the target power of the current photovoltaic power station, P pv =P max , that is, the output power of the photovoltaic power station is the target power of the current photovoltaic power station, and the charge and discharge instruction P of the energy storage device ess is the power to be obtained P ref Subtract the target power P of the photovoltaic power station max , plus the power consumption P of the device to be controlled loss .

[0096] In SOC <SOC min When the energy storage device cannot be discharged, and P max -P loss ≤P ref <P max , that is, when the power to be obtained is greater than the target power of the current photovoltaic power station minus the power consumption of the device to be controlled, and less than the target power of the current photovoltaic power station, P pv =P max , that is, the output power of the photovoltaic power station is the target power of the current photovoltaic power station, and the charge and discharge instruction value of the energy storage device is 0.

[0097] In SOC <SOC max When the energy storage device can be charged, and P ref<P max -P loss , that is, when the power to be obtained is less than the target power of the current photovoltaic power station minus the power consumption of the device to be controlled, P pv =P max , that is, the output power of the photovoltaic power station is the target power of the current photovoltaic power station, and the charge and discharge instruction P of the energy storage device ess is the power to be obtained P ref Subtract the target power P of the photovoltaic power station max , plus the power consumption P of the device to be controlled loss .

[0098] When SOC ≥ SOC max When the energy storage device cannot be charged, and P ref <P max -P loss , that is, when the power to be obtained is less than the target power of the current photovoltaic power station minus the power consumption of the device to be controlled, the output power P of the photovoltaic power station pv Equal to the power to be obtained P ref Add the power consumption P of the device to be controlled loss , the charge and discharge instruction value of the energy storage device is 0.

[0099] The beneficial effect of such a setting is that multiple factors are used to control the output power of the photovoltaic power station and the energy storage device in the device to be controlled, making full use of the charging and discharging capacity of the energy storage device, improving energy utilization efficiency, and reducing the need to draw electricity from the power grid.

[0100] The device loss control method, device, equipment and medium provided in the present application for photovoltaic power stations obtains environmental information of the environment within a period of time, and predicts the light intensity and duration of a period of time in the future based on the environmental information during this period. According to the predicted light intensity and duration, the switch of the device to be controlled is controlled, and the light trend of the future period of time is accurately predicted. The device to be controlled is controlled according to the light trend, which reduces the power consumption of the device to be controlled in low light conditions and improves the energy efficiency of the photovoltaic power station.

[0101] Figure 2 A schematic flow chart of a method for controlling equipment loss in a photovoltaic power station provided in an embodiment of the present disclosure.

[0102] In this embodiment, according to the environmental information of the environment in which the device to be controlled is located within a preset target time period, the switch of the device to be controlled is controlled, including: determining the device level of the device to be controlled; wherein the device level represents the importance and energy consumption level of the device; if it is determined that the device to be controlled meets the preset control conditions according to the device level of the device to be controlled and the environmental information of the environment in which the device to be controlled is located within the preset target time period, the switch of the device to be controlled is controlled.

[0103] like Figure 2 As shown, the method comprises the following steps:

[0104] S201. Obtain environmental information within a preset historical time period; wherein the environmental information represents the light intensity and the duration of the light intensity in the environment where the device to be controlled is located.

[0105] Exemplarily, this step may refer to the above-mentioned step S101 and will not be described in detail.

[0106] S202. Predicting the environmental information of the environment of the device to be controlled within a preset target time period based on the environmental information within a preset historical time period; wherein the preset target time period is a period of time after the current time.

[0107] Exemplarily, this step may refer to the above-mentioned step S102 and will not be described in detail.

[0108] S203, determining the device level of the device to be controlled; wherein the device level represents the importance and energy consumption level of the device.

[0109] Exemplarily, a level determination rule for the equipment to be controlled is pre-set, and the level determination rule for the equipment to be controlled is used to classify the equipment to be controlled according to the importance and energy consumption level, as well as the current photovoltaic power generation scenario. The level determination rule for the equipment to be controlled may be to assign different weights to the importance and energy consumption level of the equipment according to the needs of the current scenario, and to classify the equipment to be assigned according to the different weights, and the maximum level of the equipment may be four levels. For example, the equipment to be controlled to be classified is prioritized for classification according to its importance. If the equipment to be controlled to be classified is a device that ensures the safe operation and management of the photovoltaic power station, the equipment to be controlled is determined to be a first-level device. If the controlled device to be classified is not a device for ensuring the safe operation and management of the photovoltaic power station, but the controlled device to be classified is a device related to the system safety and facility protection in the current photovoltaic power generation scenario, then the controlled device is determined to be a second-level device; if the controlled device to be classified is not a device related to the system safety and facility protection in the current photovoltaic power generation scenario, then the level of the controlled device is determined from low to high according to the energy consumption level, for example, the controlled device whose energy consumption level exceeds the first energy consumption threshold but is lower than the second energy consumption threshold is regarded as a third-level device, and the controlled device whose energy consumption level exceeds the second energy consumption threshold is regarded as a fourth-level device. Among them, the first energy consumption threshold and the second energy consumption threshold are energy consumption values ​​of the controlled device, which characterize the energy consumption of the controlled device, and the second energy consumption threshold is greater than the first energy consumption threshold.

[0110] After obtaining the environmental information within the target time period, the devices to be controlled are classified according to the preset grade determination rules of the devices to be controlled, and multiple device grades and devices to be controlled corresponding to the device grades are obtained. The device grade represents the importance and energy consumption level of the device.

[0111] The beneficial effect of such a setting is that, according to the needs of different power generation scenarios, as well as the importance and energy consumption level of each device to be controlled, each device to be controlled is classified and multiple device levels are determined, so as to facilitate the subsequent control of the device to be controlled according to different levels. The classification of the devices to be controlled can make the control of the devices to be controlled more accurate and enhance the stability of the system.

[0112] S204: If it is determined that the device to be controlled meets the preset control condition according to the device level of the device to be controlled and the environmental information of the environment where the device to be controlled is located within the preset target time period, the switch of the device to be controlled is controlled.

[0113] Exemplarily, after obtaining the environmental information of the environment in which the device to be controlled is located within a preset target time period and the device levels of multiple devices to be controlled, it is determined whether the device to be controlled meets the preset control conditions. If so, the device to be controlled is controlled to perform the corresponding switch operation. Among them, the control condition is used to determine whether the device to be controlled is turned on. Each device level corresponds to a control condition for the device level, and the control condition can be a light intensity value. For example, if all devices are currently in the on state, and the light intensity in the target time period is lower than the control condition of the level 4 device, the level 4 device is controlled to be turned off; if the level 4 device is currently in the off state, and the light intensity in the target time period is higher than the control condition of the level 4 device, the level 4 device is controlled to be turned on.

[0114] If the current control condition meets the closing control condition of the lower-level device level, the closing command is executed for all the devices to be controlled that are higher than the device level; if the current control condition meets the opening control condition of the higher-level device, the opening command is executed for all the devices to be controlled that are lower than the device level before the level. For example, if all devices are currently in the on state, and the light intensity in the target time period is lower than the control condition of the second-level device, the devices to be controlled in the second-level device, the third-level device, and the fourth-level device are controlled to be closed; if only the first-level device is currently turned on, and the light intensity in the target time period is higher than the control condition of the fourth-level device, the devices to be controlled in the second-level device, the third-level device, and the fourth-level device are controlled to be turned on.

[0115] In this embodiment, the first-level equipment is equipment for ensuring safe operation and management of the photovoltaic power station, and the first-level equipment is not shut down.

[0116] The beneficial effect of such a setting is that the controlled equipment is controlled through different control conditions, which effectively reduces the power consumption of the controlled equipment of the photovoltaic power station under low light conditions while ensuring the normal operation of the photovoltaic power station, thereby optimizing the energy use of the photovoltaic power station.

[0117] In this embodiment, if it is determined that the device to be controlled meets the preset control condition based on the device level of the device to be controlled and the environmental information of the environment where the device to be controlled is located within the preset target time period, the switch of the device to be controlled is controlled, including: determining the light threshold corresponding to the device level of the device to be controlled based on the association between the preset device level and the light threshold; if there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within the preset target time period, then the switch of the device to be controlled is controlled according to the current state of the device to be controlled.

[0118] Specifically, for each preset device level, there is a light threshold corresponding to the device level. The light threshold is a preset light intensity value that ensures that the device to be controlled of the device level works normally and does not lose power without load. After obtaining the environmental information of the environment where the device to be controlled is located within the preset target time period and the device levels of multiple devices to be controlled, the light threshold corresponding to each device to be controlled is determined according to the association between the preset device level and the light threshold.

[0119] If the environmental information of the device to be controlled within the preset target time period contains a light threshold corresponding to the level of the device to be controlled, the switch of the device to be controlled is controlled according to the current working state of the device to be controlled. For example, if the level 4 device is in the off state, and there is a light intensity value greater than the light threshold corresponding to the level 4 device in the environmental information within the preset target time period, the device to be controlled in the level 4 device is controlled to be turned on; if all devices are in the on state, and there is a light intensity value less than the light threshold corresponding to the level 3 device in the environmental information within the preset target time period, the level 3 device and the level 4 device are controlled to be turned off.

[0120] The beneficial effect of such a setting is that by assigning different light thresholds to different equipment levels, the control of the equipment is graded, making the control of the controlled equipment more accurate and allowing the equipment to be controlled in grades, thereby reducing the power consumption of the photovoltaic power station while ensuring the normal operation of the photovoltaic power station.

[0121] In this embodiment, if there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within a preset target time period, then the switch of the device to be controlled is controlled according to the current state of the device to be controlled, including: if there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within the preset target time period, then the light threshold corresponding to the device level of the device to be controlled is determined as the target light intensity, and the duration of the target light intensity in the environmental information of the environment where the device to be controlled is determined within the preset target time period; according to the association between the preset device level and the duration, the duration corresponding to the device level of the device to be controlled is determined; if the duration of the target light intensity is greater than the duration corresponding to the device level of the device to be controlled, then the switch of the device to be controlled is controlled according to the current state of the device to be controlled.

[0122] Specifically, if the environmental information of the environment where the device to be controlled is located within the preset target time period, and there is a light threshold corresponding to the device level of the device to be controlled, then the light threshold corresponding to the device level of the device to be controlled is used as the target light intensity, and the duration of the target light intensity corresponding to the target light intensity is determined from the environmental information of the environment where the device to be controlled is located within the preset target time period. The target light intensity is used to determine whether the device to be controlled is turned on or off, and is a light intensity value. The duration of the target light intensity includes a first duration and a second duration, wherein the first duration is the time when the light intensity in the environmental information is continuously higher than the target light intensity; the second duration is the time when the light intensity in the environmental information is continuously lower than the target light intensity.

[0123] For example, if there is a light intensity value corresponding to the light threshold corresponding to the fourth-level device in the environmental information of the environment where the device to be controlled is located within the preset target time period, then the light intensity value is used as the target light intensity, the time when the light intensity in the environmental information is continuously higher than the target light intensity is used as the first duration of the target light intensity, and the time when the light intensity in the environmental information is continuously lower than the target light intensity is used as the second duration.

[0124] Each device level to be controlled corresponds to a working maintenance time of each level, and the working maintenance time is the minimum time for the device to maintain the same working state. The association relationship between the device level and the working maintenance time is preset, and the association relationship between the device and the working maintenance time is used to determine the working maintenance time corresponding to the device level. The association relationship between the device and the working maintenance time can be based on the corresponding relationship between the importance of the device level and the energy consumption level and the working maintenance time. According to the preset association relationship between the device level and the working maintenance time, the working maintenance time corresponding to the device level of the device to be controlled is determined.

[0125] If the duration of the target light intensity is greater than the working maintenance time corresponding to the device level of the device to be controlled, the device to be controlled is controlled to be turned on or off according to the current state of the device to be controlled. For example, if the current level 4 device is in the off state and the first duration of the target light intensity is greater than the working maintenance time corresponding to the level 4 device, the device to be controlled in the level 4 device is controlled to be turned on; if the current level 4 device is in the on state and the second duration of the target light intensity is greater than the working maintenance time corresponding to the level 4 device, the device to be controlled in the level 4 device is controlled to be turned off.

[0126] In this embodiment, it also includes: obtaining the light intensity and the power consumption of the device to be controlled at different times according to a preset threshold update cycle; and updating the light threshold corresponding to the device level of the device to be controlled from the light intensity at different times according to the power consumption of the device to be controlled at the different times.

[0127] Specifically, a threshold update cycle is pre-set, and the threshold update cycle represents the update cycle of the light threshold corresponding to the device level, and the threshold update cycle is a fixed period of time, for example, one week. According to the preset threshold update cycle, the light intensity at different times and the power consumption of the device to be controlled at the time corresponding to the light intensity are obtained, and the power generation power of the photovoltaic power station under this light intensity is determined.

[0128] A power generation change threshold is preset, and the power generation change threshold represents the maximum value allowed for the difference in power generation under different light intensities. For every two light intensities, if the difference in power generation of the photovoltaic power station is greater than the preset power generation change threshold, the median of the two light intensities is used as the target light threshold. By analyzing all light intensities and the power generation of the photovoltaic power station, multiple target light thresholds are determined, and the target light threshold is the light intensity value that causes a significant change in power generation.

[0129] The objective function f(T) is set in advance to balance the power generation efficiency and power consumption. T is the light intensity value. The larger the value of f(T), the more the power generation efficiency and power consumption meet the current actual power generation demand. It can be expressed as f(T) = ω1·E(T)-ω2·C(T), where E(T) is the power generation efficiency of the photovoltaic power station when the light intensity value is T. P act (T) is the actual power generation, P max (T) is the theoretical maximum power generation. C(T) is the power consumption of the photovoltaic power station when the light intensity value is T. ω1 and ω2 are the weight factors of E(T) and C(T), respectively, which are used to balance the relationship between power generation efficiency and energy consumption according to different power generation needs. If the main goal of power generation demand is to increase power generation, ω1 is greater than ω2; if the main goal of current power generation demand is to reduce energy consumption, ω2 is greater than ω1.

[0130] According to the current power generation demand, the values ​​of ω1 and ω2 are set, and the light threshold corresponding to the equipment level at the current moment is input into the objective function to obtain the function value of the objective function corresponding to the light threshold at the current moment. Using the gradient descent method, the obtained multiple target light thresholds are respectively input into the objective function, and each target light threshold corresponds to an output value of f(T). These output values ​​are sorted from large to small according to size, and the output values ​​within the preset sorting range are used as a set of target output values. For example, the output values ​​ranked in the top five are determined as the target output values. The target light threshold corresponding to the target output value is determined as the updated light threshold of the preset equipment level.

[0131] The preset sorting range may be related to the number of preset device levels. For example, if there are five preset device levels, the preset sorting range is the first five. Each target output value corresponds to a device level. For example, the target output values ​​from large to small may correspond to device levels from high to low.

[0132] The beneficial effect of such a setting is that the light threshold corresponding to the equipment level can be updated according to the needs of the power generation scenario and the actual power generation efficiency and power consumption of the photovoltaic power station, so that the control of the controlled equipment is more accurate, and the threshold can be continuously optimized so that the photovoltaic power station can better respond to the needs of different power generation scenarios.

[0133] The device loss control method, device, equipment and medium provided in the present application for photovoltaic power stations obtains environmental information of the environment within a period of time, and predicts the light intensity and duration of a period of time in the future based on the environmental information during this period. According to the predicted light intensity and duration, the switch of the device to be controlled is controlled, and the light trend of the future period of time is accurately predicted. The device to be controlled is controlled according to the light trend, which reduces the power consumption of the device to be controlled in low light conditions and improves the energy efficiency of the photovoltaic power station.

[0134] Figure 3 A schematic flow chart of a method for controlling equipment loss in a photovoltaic power station provided in an embodiment of the present disclosure.

[0135] In this embodiment, based on the environmental information within a preset historical time period, the environmental information of the environment where the device to be controlled is located within a preset target time period is predicted, including: preprocessing the environmental information within the preset historical time period to obtain preprocessed environmental information; based on the preprocessed environmental information, predicting the environmental information of the environment where the device to be controlled is located within the preset target time period.

[0136] like Figure 3 As shown, the method comprises the following steps:

[0137] S301. Obtain environmental information within a preset historical time period; wherein the environmental information represents the light intensity and the duration of the light intensity in the environment where the device to be controlled is located.

[0138] Exemplarily, this step may refer to the above-mentioned step S101 and will not be described in detail.

[0139] S302: Preprocess the environmental information within a preset historical time period to obtain preprocessed environmental information.

[0140] Exemplarily, after obtaining the environmental information within a preset historical time period, the environment is preprocessed according to the preset environmental information preprocessing rules to obtain the preprocessed environmental information. The environmental information preprocessing rules are used to process the environmental information to improve the information quality of the environmental information and remove unusable environmental data. The environmental information preprocessing rules may be to perform standardized processing on the environmental information.

[0141] The beneficial effect of such a setting is that preprocessing of environmental information can improve the information quality of the environmental information and facilitate subsequent use.

[0142] In this embodiment, environmental information within a preset historical time period is preprocessed to obtain preprocessed environmental information, including: if it is determined that there are missing values ​​in the environmental information within the preset historical time period, the missing values ​​are supplemented to obtain first processed information; wherein the first processed information represents the supplemented environmental information; if it is determined that there are abnormal values ​​in the first processed information according to a preset numerical standard range, the abnormal values ​​are eliminated to obtain second processed information; wherein the abnormal values ​​are values ​​that are not within the preset numerical standard range, and the second processed information represents the first processed information retained after the elimination process; the second processed information is normalized to obtain the preprocessed environmental information.

[0143] Specifically, if it is determined that there are missing values ​​in the environmental information within a preset historical time period, the missing value position is interpolated according to the preset missing value interpolation rule to obtain the first processing information. Among them, the preset missing value interpolation rule is used to supplement the environmental information at the missing value position, and the missing value interpolation rule can be to use the average value of the neighboring values ​​for interpolation. The first processing information is characterized as the environmental information after the missing value interpolation is supplemented. In this embodiment, the missing value interpolation rule is not specifically limited.

[0144] A numerical standard range is preset, and the numerical standard range is a numerical range for determining that the environmental information is a normal value. After obtaining the first processed information, if it is determined that there are abnormal values ​​in the first processed information according to the preset numerical standard range, the abnormal values ​​are eliminated, and the positions of the eliminated values ​​are interpolated according to the preset missing value interpolation rules to obtain the second processed information. The second processed information represents the first processed information after the abnormal values ​​are eliminated.

[0145] According to the preset normalization processing rule, the second processed information is normalized to obtain the pre-processed environmental information. The preset normalization processing rule is used to scale the data to simplify the calculation. In this embodiment, the normalization processing rule is not specifically limited.

[0146] The beneficial effect of such a setting is that missing value interpolation, outlier removal, normalization and other processing are performed on the environmental information to obtain pre-processed environmental information, making data processing more efficient, the quality of environmental information higher, and facilitating use in subsequent processes.

[0147] S303: predicting the environmental information of the environment where the device to be controlled is located within a preset target time period according to the preprocessed environmental information.

[0148] Exemplarily, after obtaining the preprocessed environmental information, the light intensity in the environmental information of the environment where the device to be controlled is located within a preset target time period and the duration corresponding to the light intensity are predicted based on the preprocessed environmental information and a preset environmental information prediction method. The preset environmental information prediction method is used to predict the environmental information within a preset target time period based on the preprocessed environmental information. The preset environmental information prediction method can be to determine the environmental information within the target time period based on the environmental information change trend in the preprocessed environmental information.

[0149] The beneficial effect of such a setting is that, based on the preprocessed environmental information obtained from the environmental information in the historical time period, the light intensity and the duration of the light intensity in the environmental information of the target time period are predicted, so that the light change trend of the location of the device to be controlled in the target time period can be effectively obtained, which is convenient for controlling the device to be controlled according to the light change trend.

[0150] In this embodiment, based on the preprocessed environmental information, the environmental information of the environment where the device to be controlled is located within a preset target time period is predicted, including: performing feature extraction processing on the preprocessed environmental information through a preset neural network model to obtain a feature vector corresponding to the preprocessed environmental information; based on the feature vector corresponding to the preprocessed environmental information, predicting the environmental information of the environment where the device to be controlled is located within a preset target time period.

[0151] Specifically, a neural network model is pre-set, and the neural network model is used to predict the environmental information of the environment where the device to be controlled is located within a preset target time period based on the preprocessed environmental information. The neural network processing model can be an LSTM (Long Short-Term Memory Network) model.

[0152] According to the preset feature extraction rules, feature extraction is performed on the preprocessed environmental information to obtain a feature vector corresponding to the preprocessed environmental information. The preset feature extraction rules are used to extract effective features from the preprocessed environmental information, such as time features, meteorological information codes, geographic location codes, etc. The preset feature extraction rules can be, for example, principal component analysis, independent component analysis, or automatic encoding.

[0153] According to the preset neural network model and the feature vector corresponding to the preprocessed environmental information, the light intensity in the environmental information of the environment where the device to be controlled is located within a preset target time period and the duration corresponding to the light intensity are predicted.

[0154] The beneficial effect of this setting is that by using the neural network model to learn environmental information and predict the environmental information within the target time period, the prediction results are made more accurate, and the accuracy of the prediction can be continuously improved based on the prediction results and environmental information.

[0155] S304 , controlling the switch of the device to be controlled according to the environment information of the environment where the device to be controlled is located within a preset target time period; controlling the switch of the device to be controlled is used to control the loss of the device to be controlled.

[0156] Exemplarily, this step may refer to the above-mentioned step S103 and will not be described in detail.

[0157] The device loss control method, device, equipment and medium provided in the present application for photovoltaic power stations obtains environmental information of the environment within a period of time, and predicts the light intensity and duration of a period of time in the future based on the environmental information during this period. According to the predicted light intensity and duration, the switch of the device to be controlled is controlled, and the light trend of the future period of time is accurately predicted. The device to be controlled is controlled according to the light trend, which reduces the power consumption of the device to be controlled in low light conditions and improves the energy efficiency of the photovoltaic power station.

[0158] Figure 4 A structural block diagram of an equipment loss control device applied to a photovoltaic power station provided in an embodiment of the present disclosure.

[0159] For the sake of convenience, only the parts related to the embodiments of the present disclosure are shown. Figure 4 The equipment loss control device 400 applied to a photovoltaic power station includes: an acquisition unit 401, a prediction unit 402 and a control unit 403.

[0160] The acquisition unit 401 is used to acquire environmental information within a preset historical time period; wherein the environmental information represents the light intensity and the duration of the light intensity in the environment where the device to be controlled is located;

[0161] The prediction unit 402 is used to predict the environmental information of the environment where the device to be controlled is located within a preset target time period according to the environmental information within the preset historical time period; wherein the preset target time period is a period of time after the current time;

[0162] The control unit 403 is used to control the switch of the device to be controlled according to the environmental information of the environment where the device to be controlled is located within a preset target time period; the switch of the device to be controlled is used to control the loss of the device to be controlled.

[0163] Figure 5 A structural block diagram of an equipment loss control device applied to a photovoltaic power station provided in an embodiment of the present disclosure.

[0164] exist Figure 4 Based on the example, Figure 5 As shown, the control unit 403 further includes a classification module 4031 and a switch module 4032 .

[0165] A classification module 4031 is used to determine the device level of the device to be controlled; wherein the device level represents the importance and energy consumption level of the device;

[0166] The switch module 4032 is used to control the switch of the device to be controlled if it is determined that the device to be controlled meets the preset control condition according to the device level of the device to be controlled and the environmental information of the environment where the device to be controlled is located within the preset target time period.

[0167] In one example, the classification module 4031 includes:

[0168] A threshold determination submodule, used to determine the illumination threshold corresponding to the device level of the device to be controlled according to a preset association relationship between the device level and the illumination threshold;

[0169] The first control submodule is used to control the switch of the device to be controlled according to the current state of the device to be controlled if there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within a preset target time period.

[0170] In one example, it also includes:

[0171] A light intensity determination submodule, configured to determine the light threshold corresponding to the device level of the device to be controlled as the target light intensity if there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within a preset target time period, and determine the duration of the target light intensity in the environmental information of the environment where the device to be controlled is located within the preset target time period;

[0172] A time determination submodule, used to determine the duration corresponding to the device level of the device to be controlled according to a preset association relationship between the device level and the duration;

[0173] The second control submodule is configured to control the switch of the device to be controlled according to the current state of the device to be controlled if the duration of the target light intensity is greater than the duration corresponding to the device level of the device to be controlled.

[0174] In one example, it also includes:

[0175] The power determination submodule is used to obtain the light intensity and the power consumption of the device to be controlled at different times according to a preset threshold update cycle;

[0176] The threshold updating submodule is used to update the illumination threshold corresponding to the device level of the device to be controlled from the illumination intensity at different moments according to the power consumption of the device to be controlled at the different moments.

[0177] In one example, the prediction unit 402 includes:

[0178] A preprocessing module, used to preprocess the environmental information within the preset historical time period to obtain preprocessed environmental information;

[0179] The first information determination module is used to predict the environmental information of the environment where the device to be controlled is located within a preset target time period according to the preprocessed environmental information.

[0180] In one example, it also includes:

[0181] A first processing submodule, for supplementing the missing values ​​to obtain first processed information if it is determined that there are missing values ​​in the environmental information within the preset historical time period; wherein the first processed information represents the supplemented environmental information;

[0182] A second processing submodule, for removing an abnormal value from the first processing information to obtain second processing information if it is determined according to a preset numerical standard range that the abnormal value exists; wherein the abnormal value is a value that is not within the preset numerical standard range, and the second processing information represents the first processing information retained after the removal process;

[0183] The third processing submodule is used to perform normalization processing on the second processed information to obtain the pre-processed environmental information.

[0184] In one example, it also includes:

[0185] A feature extraction module, used to perform feature extraction processing on the preprocessed environmental information through a preset neural network model to obtain a feature vector corresponding to the preprocessed environmental information;

[0186] The second information determination module is used to predict the environmental information of the environment where the device to be controlled is located within a preset target time period according to the feature vector corresponding to the preprocessed environmental information.

[0187] In one example, it also includes:

[0188] A first information acquisition module, configured to determine the current remaining power information and current environmental information in the energy storage device in response to a power acquisition instruction; wherein the power acquisition instruction includes the power to be acquired;

[0189] A second information acquisition module is used to determine a current target power according to the current environmental information; wherein the current target power is a maximum power value under the current environmental information;

[0190] The energy storage device control module is used to determine whether the energy storage device performs a charging operation or a discharging operation according to the power to be obtained, the current target power, and the current remaining power information.

[0191] Figure 6 A structural block diagram of an electronic device provided in an embodiment of the present disclosure, the electronic device may be a terminal device or a server, such as Figure 6 As shown, the electronic device 600 includes: at least one processor 602; and a memory 601 that is communicatively connected to the at least one processor 602; wherein the memory stores instructions that can be executed by the at least one processor 602, and the instructions are executed by the at least one processor 602 so that the at least one processor 602 can execute the equipment loss control method applied to a photovoltaic power station disclosed in the present invention.

[0192] The electronic device 600 further includes a receiver 603 and a transmitter 604. The receiver 603 is used to receive instructions and data sent by other devices, and the transmitter 604 is used to send instructions and data to external devices.

[0193] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0194] According to an embodiment of the present disclosure, the present disclosure also provides a computer program product, which includes: a computer program, the computer program is stored in a readable storage medium, at least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the above embodiments.

[0195] Figure 7It is a block diagram of an electronic device according to an exemplary embodiment, which device may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0196] Device 700 may include one or more of the following components: a processing component 702 , a memory 704 , a power component 706 , a multimedia component 708 , an audio component 711 , an input / output (I / O) interface 712 , a sensor component 714 , and a communication component 716 .

[0197] The processing component 702 generally controls the overall operation of the device 700, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 702 may include one or more processors 720 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 702 may include one or more modules to facilitate the interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate the interaction between the multimedia component 708 and the processing component 702.

[0198] The memory 704 is configured to store various types of data to support operations on the device 700. Examples of such data include instructions for any application or method operating on the device 700, contact data, phone book data, messages, pictures, videos, etc. The memory 704 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0199] The power supply component 706 provides power to the various components of the device 700. The power supply component 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device 700.

[0200] The multimedia component 708 includes a screen that provides an output interface between the device 700 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 708 includes a front camera and / or a rear camera. When the device 700 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0201] The audio component 710 is configured to output and / or input audio signals. For example, the audio component 710 includes a microphone (MIC), and when the device 700 is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 704 or sent via the communication component 716. In some embodiments, the audio component 710 also includes a speaker for outputting audio signals.

[0202] I / O interface 712 provides an interface between processing component 702 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0203] The sensor assembly 714 includes one or more sensors for providing various aspects of status assessment for the device 700. For example, the sensor assembly 714 can detect the open / closed state of the device 700, the relative positioning of components, such as the display and keypad of the device 700, and the sensor assembly 714 can also detect the position change of the device 700 or a component of the device 700, the presence or absence of user contact with the device 700, the orientation or acceleration / deceleration of the device 700, and the temperature change of the device 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 714 may also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0204] The communication component 716 is configured to facilitate wired or wireless communication between the device 700 and other devices. The device 700 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 716 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0205] In an exemplary embodiment, the device 700 may be implemented by 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), controllers, microcontrollers, microprocessors, or other electronic components to perform the above methods.

[0206] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 704 including instructions, and the instructions can be executed by the processor 720 of the device 700 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0207] A non-temporary computer-readable storage medium, when the instructions in the storage medium are executed by a processor of a terminal device, enables the terminal device to execute the above-mentioned equipment loss control method applied to a photovoltaic power station.

[0208] The present application also discloses a computer program product, including a computer program, which implements the method described in this embodiment when executed by a processor.

[0209] Various embodiments of the systems and techniques described above in the present application can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs, which can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor, which can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0210] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or electronic device.

[0211] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0212] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0213] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data electronic device), or a computing system that includes middleware components (e.g., an application electronic device), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0214] The computer system may include a client and an electronic device. The client and the electronic device are generally far away from each other and usually interact through a communication network. The relationship between the client and the electronic device is generated by computer programs running on corresponding computers and having a client-electronic device relationship with each other. The electronic device may be a cloud electronic device, also known as a cloud computing electronic device or a cloud host, which is a host product in a cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The electronic device may also be an electronic device of a distributed system, or an electronic device combined with a blockchain. It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0215] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0216] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for controlling equipment loss in a photovoltaic power station, characterized in that: The method is applied to a device to be controlled in a photovoltaic power station, including: Acquire environmental information within a preset historical time period; wherein the environmental information represents the light intensity and duration of the light intensity in the environment where the device to be controlled is located; According to the environmental information in the preset historical time period, predict the environmental information of the environment where the device to be controlled is located in a preset target time period; wherein the preset target time period is a period of time after the current time; The switch of the device to be controlled is controlled according to the environment information of the environment where the device to be controlled is located within a preset target time period; wherein the switch of the device to be controlled is controlled for controlling the loss of the device to be controlled.

2. The method according to claim 1, characterized in that Controlling the switch of the device to be controlled according to the environment information of the environment where the device to be controlled is located within a preset target time period, including: Determine the device level of the device to be controlled; wherein the device level represents the importance and energy consumption level of the device; If it is determined that the device to be controlled meets the preset control condition according to the device level of the device to be controlled and the environmental information of the environment where the device to be controlled is located within the preset target time period, the switch of the device to be controlled is controlled.

3. The method according to claim 2, characterized in that If it is determined that the device to be controlled meets a preset control condition according to the device level of the device to be controlled and the environment information of the environment where the device to be controlled is located within a preset target time period, then the switch of the device to be controlled is controlled, including: Determine the light threshold value corresponding to the device level of the device to be controlled according to the association relationship between the preset device level and the light threshold value; If the environment information of the environment where the device to be controlled is located within the preset target time period contains a light threshold corresponding to the device level of the device to be controlled, the switch of the device to be controlled is controlled according to the current state of the device to be controlled.

4. The method according to claim 3, characterized in that If the environment information of the environment where the device to be controlled is located within the preset target time period contains a light threshold corresponding to the device level of the device to be controlled, then according to the current state of the device to be controlled, the switch of the device to be controlled is controlled, including: If there is a light threshold corresponding to the device level of the device to be controlled in the environmental information of the environment where the device to be controlled is located within the preset target time period, the light threshold corresponding to the device level of the device to be controlled is determined as the target light intensity, and the duration of the target light intensity in the environmental information of the environment where the device to be controlled is located within the preset target time period is determined; Determine the duration corresponding to the device level of the device to be controlled according to a preset association relationship between the device level and the duration; If the duration of the target light intensity is greater than the duration corresponding to the device level of the device to be controlled, the switch of the device to be controlled is controlled according to the current state of the device to be controlled.

5. The method according to claim 4, characterized in that Also includes: According to the preset threshold update cycle, the light intensity at different times and the power consumption of the device to be controlled are obtained; According to the power consumption of the device to be controlled at the different moments, the light threshold corresponding to the device level of the device to be controlled is updated from the light intensity at the different moments.

6. The method according to claim 1, characterized in that Predicting the environmental information of the environment where the device to be controlled is located within a preset target time period according to the environmental information within the preset historical time period includes: Preprocessing the environmental information within the preset historical time period to obtain preprocessed environmental information; The environmental information of the environment where the device to be controlled is located within a preset target time period is predicted according to the preprocessed environmental information.

7. The method according to claim 6, characterized in that Preprocessing the environmental information within the preset historical time period to obtain preprocessed environmental information includes: If it is determined that there are missing values ​​in the environmental information within the preset historical time period, the missing values ​​are supplemented to obtain first processed information; wherein the first processed information represents the supplemented environmental information; If it is determined that there is an abnormal value in the first processed information according to the preset numerical standard range, the abnormal value is eliminated to obtain second processed information; wherein the abnormal value is a value that is not within the preset numerical standard range, and the second processed information represents the first processed information retained after the elimination process; The second processed information is normalized to obtain the pre-processed environmental information.

8. The method according to claim 6, characterized in that Predicting the environmental information of the environment where the device to be controlled is located within a preset target time period according to the preprocessed environmental information includes: Performing feature extraction processing on the preprocessed environmental information through a preset neural network model to obtain a feature vector corresponding to the preprocessed environmental information; According to the feature vector corresponding to the preprocessed environmental information, the environmental information of the environment where the device to be controlled is located within a preset target time period is predicted.

9. The method according to any one of claims 1 to 8, characterized in that The device to be controlled is an energy storage device, which is used to store electrical energy and perform charging and discharging operations; the method also includes: In response to a power acquisition instruction, determining current remaining power information and current environmental information in the energy storage device; wherein the power acquisition instruction includes the power to be acquired; Determine a current target power according to the current environmental information; wherein the current target power is a maximum power value under the current environmental information; According to the power to be acquired, the current target power, and the current remaining power information, it is determined that the energy storage device performs a charging operation or a discharging operation.

10. An equipment loss control device applied to a photovoltaic power station, characterized in that: The method is applied to a device to be controlled in a photovoltaic power station, including: An acquisition unit, used to acquire environmental information within a preset historical time period; wherein the environmental information represents the light intensity and duration of the light intensity in the environment where the device to be controlled is located; A prediction unit, configured to predict the environmental information of the environment where the device to be controlled is located within a preset target time period according to the environmental information within the preset historical time period; wherein the preset target time period is a period of time after the current time; A control unit is used to control the switch of the device to be controlled according to the environmental information of the environment in which the device to be controlled is located within a preset target time period; wherein, controlling the switch of the device to be controlled is used to control the loss of the device to be controlled.

11. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the equipment loss control method applied to a photovoltaic power station as described in any one of claims 1 to 9.

13. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 9 when being executed by a processor.

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