Photovoltaic integrated intelligent monitoring and timely response system and method

Abstract

The embodiment of the invention discloses a photovoltaic integrated intelligent monitoring and timely response system and method, and the system comprises a photovoltaic monitoring unit which is used for collecting the working state information of photovoltaic power generation equipment in real time, carrying out the recognition of the working state information, and generating an abnormal information report; the photovoltaic adjusting unit is used for adjusting the working state of the photovoltaic power generation equipment according to the abnormal information report; and the energy distribution unit is used for calculating the required electricity consumption of the photovoltaic adjustment unit and controlling the photovoltaic energy storage unit to perform energy distribution according to the required electricity consumption. According to the invention, the operation efficiency and stability of photovoltaic integration can be effectively improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of photovoltaic power generation technology, and in particular to a photovoltaic integrated intelligent monitoring and timely response system and method. Background Art

[0002] In the current field of photovoltaic integrated systems, although there are a variety of monitoring and control technologies, there are common problems such as single monitoring dimension, untimely response, and lack of self-optimization mechanism. For example, existing technologies are difficult to handle the voltage and current fluctuations of photovoltaic panels caused by environmental changes in real time, resulting in low system efficiency and even potential safety hazards such as equipment overheating and fire. In addition, with the development of big data and artificial intelligence technologies, how to apply these advanced technologies to the monitoring and optimization of photovoltaic systems has become a cutting-edge challenge facing the industry. Summary of the invention

[0003] The embodiments of the present application provide a photovoltaic integrated intelligent monitoring and timely response system and method to effectively improve the operating efficiency and stability of photovoltaic integration.

[0004] In a first aspect, an embodiment of the present application provides a photovoltaic integrated intelligent monitoring and timely response system, the system comprising:

[0005] A photovoltaic monitoring unit is used to collect working status information of photovoltaic power generation equipment in real time, identify the working status information and generate an abnormal information report;

[0006] A photovoltaic adjustment unit, used to adjust the working state of the photovoltaic power generation equipment according to the abnormal information report;

[0007] The energy distribution unit is used to calculate the required power consumption of the photovoltaic adjustment unit and control the photovoltaic energy storage device to distribute energy according to the required power consumption.

[0008] In some possible implementations, the energy distribution unit is used to obtain power generation information of the photovoltaic power generation device and energy storage status information of the photovoltaic energy storage device;

[0009] The energy distribution unit is used to control the photovoltaic energy storage device to distribute energy according to the required power consumption, power generation information and energy storage status information.

[0010] In some possible implementations, the photovoltaic monitoring unit is used to identify the working status information and generate a risk assessment report;

[0011] The energy allocation unit is used to determine the priority of energy allocation according to the risk assessment information.

[0012] In some possible implementations, the photovoltaic adjustment unit is used to adjust the tilt angle of the photovoltaic panel of the photovoltaic power generation device; and / or,

[0013] The photovoltaic adjustment unit is used to adjust the maximum power point tracking strategy; and / or,

[0014] The photovoltaic adjustment unit is used to adjust the charging and discharging state of the photovoltaic energy storage device.

[0015] In some possible implementations, the system further includes a learning adjustment unit;

[0016] The learning adjustment unit is used to collect historical energy distribution strategy data, environmental data and corresponding working status information data of the energy distribution unit;

[0017] The learning adjustment unit is used to train the historical energy allocation strategy data, environmental change data and corresponding working status information data using a neural network model;

[0018] The learning adjustment unit is used to input the current abnormal information report and environmental data into the trained neural network model, generate an energy allocation strategy and send it to the energy allocation unit.

[0019] In a second aspect, an embodiment of the present application provides a photovoltaic integrated intelligent monitoring and timely response method, which is applied to a photovoltaic integrated intelligent monitoring and timely response system, wherein the system includes a photovoltaic monitoring unit, a photovoltaic adjustment unit, and an energy distribution unit, and the method includes:

[0020] S1, the photovoltaic monitoring unit collects the working status information of the photovoltaic power generation equipment in real time, identifies the working status information and generates an abnormal information report;

[0021] S2, the photovoltaic adjustment unit adjusts the working state of the photovoltaic power generation equipment according to the abnormal information report;

[0022] S3, the energy distribution unit calculates the required power consumption of the photovoltaic adjustment unit, and controls the photovoltaic energy storage device to distribute energy according to the required power consumption.

[0023] In some possible implementations, S3 specifically includes:

[0024] S31, the energy distribution unit obtains the power generation information of the photovoltaic power generation equipment and the energy storage status information of the photovoltaic energy storage equipment;

[0025] S32, the energy distribution unit controls the photovoltaic energy storage device to distribute energy according to the required power consumption, power generation information and energy storage status information.

[0026] In some possible implementations, the method includes:

[0027] S4, the photovoltaic monitoring unit identifies the working status information and generates a risk assessment report;

[0028] S5, the energy allocation unit determines the priority of energy allocation according to the risk assessment information.

[0029] In some possible implementations, S1 specifically includes:

[0030] S11, the photovoltaic adjustment unit adjusts the inclination angle of the photovoltaic panel of the photovoltaic power generation equipment; and / or,

[0031] S12, the photovoltaic adjustment unit adjusts the maximum power point tracking strategy; and / or,

[0032] S13, the photovoltaic adjustment unit adjusts the charging and discharging state of the photovoltaic energy storage device.

[0033] In some possible implementations, the photovoltaic integrated intelligent monitoring and timely response system further includes a learning adjustment unit, and the method further includes:

[0034] S6, the learning adjustment unit collects historical energy distribution strategy data, environmental data and corresponding working status information data of the energy distribution unit;

[0035] S7, the learning adjustment unit uses a neural network model to train the historical energy allocation strategy data, environmental change data and corresponding working status information data;

[0036] S8, the learning adjustment unit inputs the current abnormal information report and environmental data into the trained neural network model, generates an energy allocation strategy and sends it to the energy allocation unit.

[0037] The beneficial effects of this application are:

[0038] The embodiment of the present application achieves the technical effect of effectively improving the operating efficiency and stability of photovoltaic integration by setting up a photovoltaic monitoring unit that is used to collect working status information of photovoltaic power generation equipment in real time, identify the working status information and generate an abnormal information report, a photovoltaic adjustment unit that is used to adjust the working status of the photovoltaic power generation equipment according to the abnormal information report, and an energy distribution unit that is used to calculate the required power consumption of the photovoltaic adjustment unit and control the photovoltaic energy storage device to distribute energy according to the required power consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 It is a schematic diagram of a photovoltaic integrated intelligent monitoring and timely response system provided in an embodiment of the present application;

[0041] Figure 2 It is a flow chart of the photovoltaic integrated intelligent monitoring and timely response system provided in the embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described in detail by way of implementation methods with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. 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.

[0043] It should be noted that: in the accompanying drawings, the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions; in the description of the present application, the terms "center", "longitudinal", "lateral", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the scope of protection of the present application; in the description of the present application, "first", "second", etc. are only used to distinguish each other, rather than to indicate their importance and order, etc.

[0044] In the description of this application, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a movable connection, or a detachable connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal communication of two components, etc. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0045] The embodiment of the present application provides a photovoltaic integrated intelligent monitoring and timely response system, the system comprising:

[0046] The photovoltaic monitoring unit 110 is used to collect the working status information of the photovoltaic power generation equipment in real time, identify the working status information and generate an abnormal information report;

[0047] A photovoltaic adjustment unit 120, used to adjust the working state of the photovoltaic power generation equipment according to the abnormal information report;

[0048] The energy distribution unit 130 is used to calculate the required power consumption of the photovoltaic adjustment unit and control the photovoltaic energy storage device to distribute energy according to the required power consumption.

[0049] The photovoltaic monitoring unit 110 can deploy a network composed of multiple high-precision sensors, which can be arranged at various key positions of the photovoltaic panel. Specifically, it may include voltage and current sensors, which are installed at the output end of the photovoltaic panel to measure the DC voltage and current generated by the photovoltaic panel. Temperature sensors are distributed on the surface of the photovoltaic panel to monitor the operating temperature of the photovoltaic panel. Light intensity sensors are arranged near the photovoltaic panel to evaluate the ambient light conditions. The photovoltaic monitoring unit 110 can identify these data, analyze their fluctuations to identify abnormal points and generate abnormal reports. The photovoltaic adjustment unit 120 can adjust the working state of the photovoltaic panel according to the abnormal report to restore the photovoltaic panel to a normal working state. The energy distribution unit 130 can calculate the load demand, that is, the required power consumption, described by the photovoltaic adjustment unit 120 for adjusting the working state of the photovoltaic panel, such as angle adjustment, temperature control, etc., and control the photovoltaic energy storage device to supply power to these loads according to the required power consumption, thereby ensuring the reliability and efficiency of the system while optimizing energy distribution.

[0050] In some possible implementations, the energy distribution unit 130 is used to obtain power generation information of the photovoltaic power generation device and energy storage status information of the photovoltaic energy storage device;

[0051] The energy distribution unit 130 is used to control the photovoltaic energy storage device to distribute energy according to the required power consumption, power generation information and energy storage status information.

[0052] By comprehensively analyzing the power demand of the load, the power generation information of the photovoltaic power generation equipment and the energy storage capacity of the photovoltaic energy storage equipment, the load power consumption can be prevented from affecting the normal power supply of the photovoltaic integrated system.

[0053] In some possible implementations, the photovoltaic monitoring unit 110 is used to identify the working status information and generate a risk assessment report;

[0054] The energy allocation unit 130 is used to determine the priority of energy allocation according to the risk assessment information.

[0055] Specifically, a multi-factor assessment model can be constructed to generate a risk assessment report based on the characteristics of photovoltaic power generation equipment such as voltage, current, temperature and light intensity. The comprehensive risk index can be calculated using the following formula:

[0056]

[0057] Among them, α, β, γ and is the weight coefficient, which is determined based on the characteristics of the photovoltaic panels and historical data analysis.

[0058] When the remaining power of the photovoltaic energy storage equipment is insufficient or the power generation of the photovoltaic power generation equipment is insufficient, electricity is reallocated according to priority. For non-critical loads, it may be necessary to temporarily reduce or adjust their power supply to ensure the needs of critical loads. According to abnormal conditions and load priorities, energy allocation strategies are generated to ensure that the power needs of critical loads are met. For loads whose operating hours can be adjusted, their operating hours are replanned to avoid periods of insufficient power supply. For non-critical loads, consider temporarily reducing their power supply when necessary.

[0059] In some possible implementations, the photovoltaic adjustment unit 120 may specifically adjust the working state of the photovoltaic power generation equipment by one or more of the following means:

[0060] The photovoltaic adjustment unit 120 is used to adjust the tilt angle of the photovoltaic panel of the photovoltaic power generation equipment;

[0061] The photovoltaic adjustment unit 120 is used to adjust the maximum power point tracking strategy;

[0062] The photovoltaic adjustment unit 120 is used to adjust the charging and discharging state of the photovoltaic energy storage device.

[0063] Adjust the tilt angle of the photovoltaic panels to optimize light absorption, change the maximum power point tracking strategy to adapt to environmental changes, and control the charging and discharging of photovoltaic energy storage devices to balance supply and demand.

[0064] In some possible implementations, the system further includes a learning adjustment unit 140;

[0065] The learning adjustment unit 140 is used to collect historical energy distribution strategy data, environmental data and corresponding working status information data of the energy distribution unit 130;

[0066] The learning adjustment unit 140 is used to train the historical energy allocation strategy data, the environmental change data and the corresponding working status information data using a neural network model;

[0067] The learning adjustment unit 140 is used to input the current abnormal information report and environmental data into the trained neural network model, generate an energy allocation strategy and send it to the energy allocation unit 130.

[0068] Specifically, historical energy allocation decision data, environmental change data, and corresponding working status information data can be collected and preprocessed, including data cleaning, normalization, and feature extraction. Long short-term memory network (LSTM) can be used as the basic model to capture long-term dependencies in the data. Adjust the LSTM model structure to adapt to the characteristics of the photovoltaic system, such as increasing the number of hidden layer neurons to improve the model's expressiveness. Use the trained model to predict new environmental data and generate optimized adjustment strategies. Regularly evaluate model performance, use methods such as cross-validation to ensure the generalization ability of the model, adjust model parameters based on the evaluation results, and perform iterative optimization.

[0069] The embodiment of the present application provides a photovoltaic integrated intelligent monitoring and timely response method, which is applied to a photovoltaic integrated intelligent monitoring and timely response system. The system includes a photovoltaic monitoring unit, a photovoltaic adjustment unit and an energy distribution unit. The method includes:

[0070] S1, the photovoltaic monitoring unit collects the working status information of the photovoltaic power generation equipment in real time, identifies the working status information and generates an abnormal information report.

[0071] S2, the photovoltaic adjustment unit adjusts the working state of the photovoltaic power generation equipment according to the abnormal information report.

[0072] S3, the energy distribution unit calculates the required power consumption of the photovoltaic adjustment unit, and controls the photovoltaic energy storage device to distribute energy according to the required power consumption.

[0073] In some possible implementations, S3 specifically includes:

[0074] S31, the energy distribution unit obtains the power generation information of the photovoltaic power generation equipment and the energy storage status information of the photovoltaic energy storage equipment.

[0075] S32, the energy distribution unit controls the photovoltaic energy storage device to distribute energy according to the required power consumption, power generation information and energy storage status information.

[0076] In some possible implementations, the method includes:

[0077] S4, the photovoltaic monitoring unit identifies the working status information and generates a risk assessment report.

[0078] S5, the energy allocation unit determines the priority of energy allocation according to the risk assessment information.

[0079] In some possible implementations, S1 may specifically include one or more of the following:

[0080] S11, the photovoltaic adjustment unit adjusts the tilt angle of the photovoltaic panel of the photovoltaic power generation equipment.

[0081] S12, the photovoltaic adjustment unit adjusts the maximum power point tracking strategy.

[0082] S13, the photovoltaic adjustment unit adjusts the charging and discharging state of the photovoltaic energy storage device.

[0083] In some possible implementations, the photovoltaic integrated intelligent monitoring and timely response system further includes a learning adjustment unit, and the method further includes:

[0084] S6, the learning and adjustment unit collects historical energy distribution strategy data, environmental data and corresponding working status information data of the energy distribution unit.

[0085] S7, the learning adjustment unit uses a neural network model to train historical energy allocation strategy data, environmental change data, and corresponding working status information data.

[0086] S8, the learning and adjustment unit inputs the current abnormal information report and environmental data into the trained neural network model, generates an energy allocation strategy and sends it to the energy allocation unit.

[0087] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program code. When the computer program code is executed on a computer, the computer executes a method of any possible implementation method in the above embodiments.

[0088] An embodiment of the present application further provides a computer program product, which includes: a computer program code, which, when executed on a computer, enables the computer to execute a method as any possible implementation method of the first aspect or the second aspect.

[0089] The embodiment of the present application also provides a computer program. When the computer program code is executed on a computer, the computer executes a method of any possible implementation method in any of the aforementioned embodiments.

[0090] Those skilled in the art should be aware that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented with hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein the communication media include any media that facilitates the transmission of a computer program from one place to another. The storage medium can be any available medium that a general or special-purpose computer can access.

[0091] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A photovoltaic integrated intelligent monitoring and timely response system, characterized in that: The system comprises: A photovoltaic monitoring unit is used to collect working status information of photovoltaic power generation equipment in real time, identify the working status information and generate an abnormal information report; A photovoltaic adjustment unit, used to adjust the working state of the photovoltaic power generation equipment according to the abnormal information report; The energy distribution unit is used to calculate the required power consumption of the photovoltaic adjustment unit and control the photovoltaic energy storage device to distribute energy according to the required power consumption.

2. The photovoltaic integrated intelligent monitoring and timely response system according to claim 1 is characterized in that: The energy distribution unit is used to obtain the power generation information of the photovoltaic power generation equipment and the energy storage status information of the photovoltaic energy storage equipment; The energy distribution unit is used to control the photovoltaic energy storage device to distribute energy according to the required power consumption, power generation information and energy storage status information.

3. The photovoltaic integrated intelligent monitoring and timely response system according to claim 2 is characterized in that: The photovoltaic monitoring unit is used to identify the working status information and generate a risk assessment report; The energy allocation unit is used to determine the priority of energy allocation according to the risk assessment information.

4. The photovoltaic integrated intelligent monitoring and timely response system according to claim 1 is characterized in that: The photovoltaic adjustment unit is used to adjust the inclination angle of the photovoltaic panel of the photovoltaic power generation equipment; and / or, The photovoltaic adjustment unit is used to adjust the maximum power point tracking strategy; and / or, The photovoltaic adjustment unit is used to adjust the charging and discharging state of the photovoltaic energy storage device.

5. The photovoltaic integrated intelligent monitoring and timely response system according to claim 1 is characterized in that: The system also includes a learning adjustment unit; The learning adjustment unit is used to collect historical energy distribution strategy data, environmental data and corresponding working status information data of the energy distribution unit; The learning adjustment unit is used to train the historical energy allocation strategy data, environmental change data and corresponding working status information data using a neural network model; The learning adjustment unit is used to input the current abnormal information report and environmental data into the trained neural network model, generate an energy allocation strategy and send it to the energy allocation unit.

6. A photovoltaic integrated intelligent monitoring and timely response method, applied to a photovoltaic integrated intelligent monitoring and timely response system, the system comprising a photovoltaic monitoring unit, a photovoltaic adjustment unit and an energy distribution unit, characterized in that: The method comprises: S1, the photovoltaic monitoring unit collects the working status information of the photovoltaic power generation equipment in real time, identifies the working status information and generates an abnormal information report; S2, the photovoltaic adjustment unit adjusts the working state of the photovoltaic power generation equipment according to the abnormal information report; S3, the energy distribution unit calculates the required power consumption of the photovoltaic adjustment unit, and controls the photovoltaic energy storage device to distribute energy according to the required power consumption.

7. The photovoltaic integrated intelligent monitoring and timely response method according to claim 6 is characterized in that: S3 specifically includes: S31, the energy distribution unit obtains the power generation information of the photovoltaic power generation equipment and the energy storage status information of the photovoltaic energy storage equipment; S32, the energy distribution unit controls the photovoltaic energy storage device to distribute energy according to the required power consumption, power generation information and energy storage status information.

8. The photovoltaic integrated intelligent monitoring and timely response method according to claim 7 is characterized in that: The method comprises: S4, the photovoltaic monitoring unit identifies the working status information and generates a risk assessment report; S5, the energy allocation unit determines the priority of energy allocation according to the risk assessment information.

9. The photovoltaic integrated intelligent monitoring and timely response method according to claim 8, characterized in that: S1 specifically includes: S11, the photovoltaic adjustment unit adjusts the inclination angle of the photovoltaic panel of the photovoltaic power generation equipment; and / or, S12, the photovoltaic adjustment unit adjusts the maximum power point tracking strategy; and / or, S13, the photovoltaic adjustment unit adjusts the charging and discharging state of the photovoltaic energy storage device.

10. The photovoltaic integrated intelligent monitoring and timely response method according to claim 6, wherein the photovoltaic integrated intelligent monitoring and timely response system further comprises a learning adjustment unit, characterized in that: The method further comprises: S6, the learning adjustment unit collects historical energy distribution strategy data, environmental data and corresponding working status information data of the energy distribution unit; S7, the learning adjustment unit uses a neural network model to train the historical energy allocation strategy data, environmental change data and corresponding working status information data; S8, the learning adjustment unit inputs the current abnormal information report and environmental data into the trained neural network model, generates an energy allocation strategy and sends it to the energy allocation unit.

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