Photovoltaic integrated intelligent monitoring and timely response system and method

Abstract

The present application discloses an intelligent monitoring and timely response system and method for photovoltaic integration. The system includes: a photovoltaic monitoring unit for collecting real-time operating status information of photovoltaic power generation equipment, identifying the operating status information, and generating abnormal information reports; a photovoltaic adjustment unit for adjusting the operating status of the photovoltaic power generation equipment based on the abnormal information reports; and an energy distribution unit for calculating the required power consumption of the photovoltaic adjustment unit and controlling the photovoltaic energy storage unit to distribute energy based on the required power consumption. This application can effectively improve the operational efficiency and stability of photovoltaic integration.

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] While various monitoring and control technologies exist in the current field of integrated photovoltaic systems, they suffer from widespread issues such as limited monitoring dimensions, delayed responses, and a lack of self-optimization mechanisms. For example, existing technologies struggle to handle real-time fluctuations in photovoltaic panel voltage and current caused by environmental changes, leading to inefficient system operation and potentially even safety hazards such as equipment overheating and fire. Furthermore, with the advancement of big data and artificial intelligence technologies, applying these advanced technologies to the monitoring and optimization of photovoltaic systems has become a leading challenge for 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] Photovoltaic monitoring unit, used to collect working status information of photovoltaic power generation equipment in real time, identify the working status information and generate abnormal information reports;

[0006] A photovoltaic adjustment unit, configured 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 equipment; 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 charge and discharge 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 distribution strategy and send it to the energy distribution 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 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 device and the energy storage status information of the photovoltaic energy storage device;

[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 charge and discharge 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 and 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 providing a photovoltaic integrated intelligent monitoring and timely response system including a photovoltaic monitoring unit for real-time collection of working status information of photovoltaic power generation equipment, identification of the working status information and generation of abnormal information reports, a photovoltaic adjustment unit for adjusting the working status of the photovoltaic power generation equipment according to the abnormal information reports, and an energy distribution unit for calculating the required power consumption of the photovoltaic adjustment unit and controlling 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 any creative work.

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

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

[0042] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions of this application will be described in detail below through implementation methods with reference to the drawings in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. In the absence of conflict, the embodiments and features in the embodiments of this application can be combined with each other. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

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

[0044] In the description of this application, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they can refer to fixed, movable, or detachable connections; mechanical or electrical connections; direct or indirect connections through an intermediary; and internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this application based on the specific circumstances.

[0045] The present invention provides a photovoltaic integrated intelligent monitoring and timely response system, which includes:

[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] The photovoltaic adjustment unit 120 is 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 be implemented by deploying a network of multiple high-precision sensors, which can be placed at various key locations on the photovoltaic panel. Specifically, it can 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 placed near the photovoltaic panel to assess the ambient light conditions. The photovoltaic monitoring unit 110 can identify these data, analyze their fluctuations, identify abnormal points and generate abnormality reports. The photovoltaic adjustment unit 120 can adjust the working state of the photovoltaic panel based on the abnormality report to restore the photovoltaic panel to normal working state. The energy distribution unit 130 can calculate the load demand, i.e., 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 based on 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 configured 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 is 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 configured 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 voltage, current, temperature, and light intensity characteristics of photovoltaic power generation equipment. 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] In the case of insufficient remaining power in photovoltaic energy storage equipment or insufficient power generation from photovoltaic power generation equipment, power will be redistributed based on priority. For non-critical loads, it may be necessary to temporarily reduce or adjust their power supply to ensure the needs of critical loads. Based on 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 rescheduled 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 status 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 charge and discharge state of the photovoltaic energy storage device.

[0063] Adjust the tilt angle of 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 and 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 and 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 and adjustment unit 140 is used to input the current abnormal information report and environmental data into the trained neural network model, generate an energy distribution strategy and send it to the energy distribution unit 130.

[0068] Specifically, historical energy allocation decision data, environmental change data, and corresponding operating status information can be collected and preprocessed, including data cleaning, normalization, and feature extraction. A long short-term memory (LSTM) network can be used as a foundational model to capture long-term dependencies in the data. The LSTM model structure can be adjusted to suit the characteristics of the PV system, for example, by increasing the number of hidden layer neurons to enhance the model's expressiveness. The trained model can be used to predict new environmental data and generate optimized adjustment strategies. Model performance should be regularly evaluated, using methods such as cross-validation to ensure model generalization. Model parameters should be adjusted based on the evaluation results, and iterative optimization should be performed.

[0069] 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 charge and discharge 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 and 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 computer program code. When the computer program code runs 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, comprising: 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] An embodiment of the present application further provides a computer program, which, when the computer program code is run on a computer, enables the computer to execute a method of any possible implementation method in any of the aforementioned embodiments.

[0090] Those skilled in the art will appreciate that in one or more of the above examples, the functions described in the embodiments of the present application can be implemented using 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 communication media include any media that facilitates the transmission of computer programs from one place to another. The storage medium can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0091] Note that the above are only preferred embodiments of the present application and the technical principles employed. 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 has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include many other equivalent embodiments without departing from the scope of the present application. 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: Photovoltaic monitoring unit, used to collect working status information of photovoltaic power generation equipment in real time, identify the working status information and generate abnormal information reports; A photovoltaic adjustment unit, configured to adjust the working state of the photovoltaic power generation equipment according to the abnormal information report; the photovoltaic adjustment unit is configured to adjust the tilt angle and temperature of the photovoltaic panels of the photovoltaic power generation equipment; an energy distribution unit, configured to calculate the power consumption demand of the photovoltaic adjustment unit based on the abnormal information report, and control the photovoltaic energy storage device to distribute energy based on the power consumption demand; wherein the power consumption demand is the load demand of the photovoltaic adjustment unit to restore the photovoltaic power generation device to a normal working state; The photovoltaic monitoring unit is further used to identify the working status information and generate a risk assessment report; The energy allocation unit is further configured to determine the priority of energy allocation according to the risk assessment report; a learning and adjustment unit, configured 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 distribution strategy and send it to the energy distribution unit.

2. The photovoltaic integrated intelligent monitoring and timely response system according to claim 1 is characterized by: 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. 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, an energy distribution unit and a learning adjustment unit, characterized in that: The method comprises: S1, the photovoltaic monitoring unit collects working status information of the photovoltaic power generation equipment in real time, identifies the working status information and generates an abnormal information report; S11, the photovoltaic adjustment unit adjusts the tilt angle and temperature of the photovoltaic panel of the photovoltaic power generation equipment; 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 based on the abnormal information report, and controls the photovoltaic energy storage device to distribute energy according to the required power consumption; wherein the required power consumption is the load demand of the photovoltaic adjustment unit to restore the photovoltaic power generation device to a normal working state; 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 report; 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.

4. The photovoltaic integrated intelligent monitoring and timely response method according to claim 3 is characterized in that: S3 specifically includes: S31, the energy distribution unit obtains the power generation information of the photovoltaic power generation device and the energy storage status information of the photovoltaic energy storage device; 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.

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