Distributed photovoltaic network access fault monitoring method and system

Through the distributed photovoltaic network access fault monitoring method, a variety of sensors and algorithms are used to monitor photovoltaic systems in real time, solving the problems of traditional fault detection low efficiency and poor accuracy, achieving rapid and accurate fault location and information transmission, and improving the photovoltaic system's Management efficiency.

CN119298347APending Publication Date: 2025-01-10CHUZHOU POWER SUPPLY CO OF STATE GRID ANHUI ELECTRIC POWER CORP
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Patent Information

Application Number
CN202411270403.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-11
Publication Date
2025-01-10

AI Technical Summary

Technical Problem

Troubleshooting of traditional photovoltaic systems relies on the experience of operation and maintenance personnel, has low efficiency, slow response, and the accuracy is greatly affected by human factors, so it is impossible to fully cover all potential problems.

Method used

The distributed photovoltaic network access fault monitoring method is adopted, and the photovoltaic solar panels are numbered to detect the output voltage and fault codes in real time, and the environment and surface temperature monitoring is carried out in combination with cameras, thermal imagers, and thermometers. The working temperature algorithm is introduced to calculate the threshold, and The occlusion situation is determined through similarity comparison and notify the staff of fault information.

Benefits of technology

It improves the comprehensiveness and accuracy of fault detection, quickly locates fault boards, improves the efficiency of troubleshooting, ensures the timeliness and accuracy of information transmission, and enhances management convenience.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the field of intelligent power grids, in particular to a distributed photovoltaic network access fault monitoring method and system. The method comprises the following steps: numbering photovoltaic solar panels, and detecting output voltage and fault codes by an inverter; a camera and other devices are installed to monitor the environment temperature, the field picture and the panel surface temperature. A working temperature algorithm is introduced to calculate a threshold value and monitor the threshold value in real time, and if inverter fault codes occur, output voltage is abnormal, and the surface temperature exceeds the threshold value or is shielded, a worker is informed and corresponding fault information is informed. The system comprises an operating system connected with grid-connected point equipment, an acquisition and processing module, a monitoring and early warning module, a notification and response module and a user interface. The acquisition module collects data and calculates a threshold value; the monitoring module analyzes the image, judges shielding and gives out an early warning; the notification module notifies fault information in a network and field manner; and the user interface is used for a worker to check information and monitor in real time. The fault can be effectively monitored, and the reliability and safety of the system are improved.
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Description

Technical Field

[0001] The present invention relates to the field of smart grids, and in particular to a distributed photovoltaic grid-connected fault monitoring method and system. Background Art

[0002] Photovoltaic technology, also known as solar photovoltaic technology, is a technology that uses the photovoltaic effect to directly convert solar radiation energy into electrical energy. With the continuous growth of global energy demand and the increasing awareness of environmental protection, photovoltaic technology, as a clean and renewable energy technology, has received widespread attention and attention. It is of great significance to alleviate the energy crisis, reduce greenhouse gas emissions, and promote sustainable economic development.

[0003] Operation and maintenance personnel rely on their long-term experience to troubleshoot photovoltaic system failures. They may locate the fault point through trial and error or guesswork based on the fault phenomenon, system operating status, and historical maintenance records. This method is not only inefficient and difficult to respond to failures quickly, but also has a high degree of accuracy affected by human factors and often cannot fully cover all potential problems. Summary of the invention

[0004] In order to completely solve the above-mentioned problems that the traditional photovoltaic system troubleshooting relies on the experience of operation and maintenance personnel, has low efficiency, slow response, accuracy is greatly affected by human factors, and cannot cover all potential problems, the present invention proposes the following solutions:

[0005] A distributed photovoltaic grid-connected fault monitoring method, characterized in that it comprises the following steps:

[0006] S1: Number each photovoltaic solar panel in the distributed photovoltaic grid-connected point, and detect the output voltage and fault code data of the inverter connected to the distributed photovoltaic grid-connected point in real time;

[0007] S2: Install cameras, thermal imagers, and thermometers in the distributed photovoltaic grid connection points to monitor the ambient temperature, on-site images, and surface temperature of each photovoltaic solar panel in real time;

[0008] S3: Introduce the working temperature algorithm to calculate the working temperature threshold of the photovoltaic solar panel, and conduct real-time monitoring of the distributed photovoltaic grid connection points.

[0009] S4: If any one or more of the following fault conditions occur: the inverter throws a fault code, the output voltage exceeds the normal range, the surface temperature of one or more photovoltaic solar panels exceeds the operating temperature threshold, or the surface of one or more photovoltaic solar panels is blocked, notify the staff and inform them of the corresponding fault information.

[0010] Preferably, the working temperature algorithm formula of S3 is as follows:

[0011]

[0012] Among them, T is the working temperature threshold of the photovoltaic solar panel, W is the real-time ambient temperature value, N is the number of photovoltaic solar panels, and the calculation formula of g(w) is as follows:

[0013]

[0014] Preferably, the values ​​of x1 and x2 are calculated based on a set A consisting of surface temperature values ​​of each photovoltaic solar panel obtained in real time, wherein the set A = {a1, a2, ..., a n}. a represents the temperature of the photovoltaic solar panel.

[0015] Preferably, the calculation formula of x1 is:

[0016]

[0017] in:

[0018]

[0019] Preferably, it is characterized in that the calculation formula of x2 is:

[0020]

[0021] in:

[0022]

[0023] Preferably, whether the photovoltaic solar panel of S4 is blocked is determined based on the on-site picture taken by the camera. The camera will take real-time surface pictures of each photovoltaic solar panel and compare them with the corresponding unblocked pictures for similarity. When a photovoltaic solar panel with a similarity lower than 85% appears, it is considered that the photovoltaic solar panel is blocked.

[0024] Preferably, the content of the fault information of S4 is determined according to the fault condition;

[0025] When the inverter throws a fault code, the content of the fault information is the corresponding information of the inverter fault code;

[0026] When the surface temperature of a single or multiple photovoltaic solar panels exceeds the operating temperature threshold, the fault information is: a slogan prompting that a solar panel currently exceeds the operating temperature threshold and the number of the faulty photovoltaic solar panel;

[0027] When a single or multiple photovoltaic solar panels are blocked, the fault information is a slogan indicating that the solar panel is blocked and faulty, as well as the number of the faulty photovoltaic solar panel.

[0028] A distributed photovoltaic grid-connected fault monitoring system, comprising a camera, a thermal imager, a thermometer, an inverter, and an operating system of a broadcasting device connected to a distributed photovoltaic grid-connected point, characterized in that the operating system can meet any one of claims 1-7, the broadcasting device, and the operating system includes a collection and processing module, a monitoring and early warning module, a notification and response module, and a user interface;

[0029] The acquisition and processing module includes a data acquisition unit and a data processing unit. The data acquisition unit is used to collect data from the inverter, camera, thermal imager and thermometer equipment. The data processing unit calculates the operating temperature threshold based on the data collected from the inverter, camera, thermal imager and thermometer equipment.

[0030] The monitoring and early warning module includes a monitoring unit and an early warning unit. The early warning unit is used to analyze the image captured by the camera and identify whether the photovoltaic solar panel is blocked. The early warning unit compares the surface temperature of each photovoltaic solar panel collected according to the working temperature threshold to determine whether there is a fault and issue an early warning signal.

[0031] The notification and response module includes a network notification unit and an on-site notification unit. The network notification unit notifies relevant staff of the fault information in a timely manner through SMS, email or user interface push mode, and the on-site notification unit notifies on-site staff of the fault information by controlling the broadcasting equipment;

[0032] The user interface allows operation staff to log in with an account and view the ambient temperature of the distributed photovoltaic grid-connected point, the surface temperature information of each photovoltaic solar panel, and real-time on-site monitoring.

[0033] The beneficial effects of the present invention are:

[0034] 1. The method of the present invention monitors distributed photovoltaic grid-connected points through various means, covering multiple aspects such as inverter output voltage and fault code, ambient temperature, on-site images, and surface temperature of photovoltaic solar panels, and can timely discover various possible fault conditions, thereby improving the comprehensiveness and accuracy of fault detection.

[0035] 2. The method of the present invention numbers the photovoltaic solar panels, which is convenient for quickly locating the specific faulty panel when a fault occurs, thereby improving the efficiency of fault detection.

[0036] 3. The method of the present invention introduces a working temperature algorithm, and calculates the working temperature threshold according to factors such as the real-time ambient temperature and the number of photovoltaic solar panels, so as to more accurately determine whether the temperature of the solar panel is abnormal.

[0037] 4. The parameters in the algorithm of the method of the present invention are calculated based on a set of surface temperature values ​​of each photovoltaic solar panel obtained in real time, which improves the pertinence and reliability of the threshold.

[0038] 5. The method of the present invention uses similarity comparison to make judgments, with clear standards (if the similarity is less than 85%, it is considered to be blocked), which improves the accuracy of fault judgment.

[0039] 6. The method of the present invention can provide corresponding fault information content according to different fault conditions, so that the staff can quickly understand the fault type and specific situation, and take effective maintenance measures in time.

[0040] 7. The system notification and response module of the present invention includes a network notification unit and an on-site notification unit, which can promptly notify relevant staff of fault information through SMS, email, user interface push, broadcasting equipment and other methods, thereby ensuring the timeliness and effectiveness of information transmission. No matter where the staff is, they can receive fault notifications in time.

[0041] 8. The user interface of the system of the present invention allows staff to log in with an account to view the ambient temperature of the distributed photovoltaic grid-connected point, the surface temperature information of each photovoltaic solar panel, and real-time on-site monitoring, which makes it convenient for staff to understand the system operation status at any time and improves the convenience of management. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a step diagram of a distributed photovoltaic grid-connected fault monitoring method of the present invention. DETAILED DESCRIPTION

[0043] A distributed photovoltaic grid-connected fault monitoring method, characterized in that it comprises the following steps:

[0044] S1: Number each photovoltaic solar panel in the distributed photovoltaic grid-connected point, and detect the output voltage and fault code data of the inverter connected to the distributed photovoltaic grid-connected point in real time;

[0045] S2: Install cameras, thermal imagers, and thermometers in the distributed photovoltaic grid connection points to monitor the ambient temperature, on-site images, and surface temperature of each photovoltaic solar panel in real time;

[0046] S3: The working temperature algorithm is introduced to calculate the working temperature threshold of the photovoltaic solar panel, and the distributed photovoltaic grid connection point is monitored in real time. The working temperature algorithm formula of S3 is as follows:

[0047]

[0048] Among them, T is the working temperature threshold of the photovoltaic solar panel, W is the real-time ambient temperature value, N is the number of photovoltaic solar panels, and the calculation formula of g(w) is as follows:

[0049]

[0050] The values ​​of x1 and x2 are calculated based on a set A consisting of the surface temperature values ​​of each photovoltaic solar panel obtained in real time, where A = {a1, a2, ..., a n}. a represents the temperature of the photovoltaic solar panel.

[0051] The calculation formula for x1 is:

[0052]

[0053] in:

[0054]

[0055] The characteristic is that the calculation formula of x2 is:

[0056]

[0057] in:

[0058]

[0059] S4: If any one or more of the following fault conditions occur, such as the inverter throws a fault code, the output voltage exceeds the normal range, the surface temperature of one or more photovoltaic solar panels exceeds the working temperature threshold, or the surface of one or more photovoltaic solar panels is blocked, the staff will be notified and the corresponding fault information will be provided. The obstruction of the photovoltaic solar panel in S4 is determined based on the on-site image captured by the camera. The camera will take real-time surface images of each photovoltaic solar panel and compare the similarity with the corresponding unobstructed image. When a photovoltaic solar panel with a similarity of less than 85% appears, it is considered that the photovoltaic solar panel is blocked. The content of the fault information in S4 is determined based on the fault condition; when the inverter throws a fault code, the content of the fault information is the corresponding information of the inverter fault code; when the surface temperature of one or more photovoltaic solar panels exceeds the working temperature threshold, the fault information is: a slogan indicating that a solar panel currently exceeds the working temperature threshold and the number of the faulty photovoltaic solar panel; when the surface of one or more photovoltaic solar panels is blocked, the fault information is a slogan indicating that the solar surface is currently blocked and faulty and the number of the faulty photovoltaic solar panel;

[0060] A distributed photovoltaic grid-connected fault monitoring system, comprising a camera, a thermal imager, a thermometer, an inverter, and an operating system of a broadcasting device connected to a distributed photovoltaic grid-connected point, characterized in that the operating system can meet any one of claims 1-7, the broadcasting device, and the operating system includes a collection and processing module, a monitoring and early warning module, a notification and response module, and a user interface;

[0061] The acquisition and processing module includes a data acquisition unit and a data processing unit. The data acquisition unit is used to collect data from the inverter, camera, thermal imager and thermometer equipment. The data processing unit calculates the operating temperature threshold based on the data collected from the inverter, camera, thermal imager and thermometer equipment.

[0062] The monitoring and early warning module includes a monitoring unit and an early warning unit. The early warning unit is used to analyze the images taken by the camera and identify whether the photovoltaic solar panel is blocked. The early warning unit will compare the surface temperature of each photovoltaic solar panel collected according to the working temperature threshold to determine whether there is a fault and issue an early warning signal.

[0063] The notification and response module includes a network notification unit and an on-site notification unit. The network notification unit notifies relevant staff of fault information in a timely manner through SMS, email or user interface push. The on-site notification unit notifies on-site staff of fault information by controlling broadcasting equipment.

[0064] The user interface allows operation staff to log in with an account and view the ambient temperature of the distributed photovoltaic grid-connected point, the surface temperature information of each photovoltaic solar panel, and real-time on-site monitoring.

Claims

1. A distributed photovoltaic grid-connected fault monitoring method, characterized in that: The following steps are involved: S1: Number each photovoltaic solar panel in the distributed photovoltaic grid-connected point, and detect the output voltage and fault code data of the inverter connected to the distributed photovoltaic grid-connected point in real time; S2: Install cameras, thermal imagers, and thermometers in the distributed photovoltaic grid connection points to monitor the ambient temperature, on-site images, and surface temperature of each photovoltaic solar panel in real time; S3: Introduce the working temperature algorithm to calculate the working temperature threshold of the photovoltaic solar panel and monitor the distributed photovoltaic grid connection point in real time; S4: If any one or more of the following fault conditions occur, including the inverter throwing a fault code, the output voltage exceeding the normal range, the surface temperature of one or more photovoltaic solar panels exceeding the operating temperature threshold, and the surface of one or more photovoltaic solar panels being blocked, the central control center notifies the staff and informs them of the corresponding fault information.

2. A distributed photovoltaic grid-connected fault monitoring method according to claim 1, characterized in that: The working temperature algorithm formula of S3 is as follows: Among them, T is the working temperature threshold of the photovoltaic solar panel, W is the real-time ambient temperature value, N is the number of photovoltaic solar panels, and the calculation formula of g(w) is as follows:

3. A distributed photovoltaic grid-connection fault monitoring method according to claim 2, characterized in that: The values ​​of x1 and x2 are calculated based on a set A consisting of the surface temperature values ​​of each photovoltaic solar panel obtained in real time, wherein the set A = {a1, a2, ..., a n }, a represents the temperature of the photovoltaic solar panel.

4. A distributed photovoltaic grid-connection fault monitoring method according to claim 2, characterized in that: The calculation formula of x1 is: in:

5. A distributed photovoltaic grid-connection fault monitoring method according to claim 2, characterized in that: The calculation formula of x2 is: in:

6. A distributed photovoltaic grid-connected fault monitoring method according to claim 1, characterized in that: Whether the photovoltaic solar panels of the S4 are blocked is determined based on the on-site images captured by the camera. The camera will take real-time surface images of each photovoltaic solar panel and compare them with the corresponding unblocked images for similarity. When a photovoltaic solar panel with a similarity lower than 85% appears, it is considered that the photovoltaic solar panel is blocked.

7. A distributed photovoltaic grid-connection fault monitoring method according to claim 1, characterized in that: The content of the fault information of S4 is determined according to the fault condition; When the inverter throws a fault code, the content of the fault information is the corresponding information of the inverter fault code; When the surface temperature of a single or multiple photovoltaic solar panels exceeds the operating temperature threshold, the fault information is: a slogan prompting that a solar panel currently exceeds the operating temperature threshold and the number of the faulty photovoltaic solar panel; When a single or multiple photovoltaic solar panels are blocked, the fault information is a slogan indicating that the solar panel is blocked and faulty, as well as the number of the faulty photovoltaic solar panel.

8. A distributed photovoltaic grid-connected fault monitoring system, comprising an operating system of a camera, a thermal imager, a thermometer, an inverter, and a broadcasting device connected to a distributed photovoltaic grid-connected point, characterized in that: The operating system can satisfy any one of claims 1 to 7, the broadcasting equipment, the operating system comprising a collection and processing module, a monitoring and early warning module, a notification and response module, and a user interface; The acquisition and processing module includes a data acquisition unit and a data processing unit. The data acquisition unit is used to collect data from the inverter, camera, thermal imager and thermometer equipment. The data processing unit calculates the operating temperature threshold based on the data collected from the inverter, camera, thermal imager and thermometer equipment. The monitoring and early warning module includes a monitoring unit and an early warning unit. The early warning unit is used to analyze the image captured by the camera and identify whether the photovoltaic solar panel is blocked. The early warning unit compares the surface temperature of each photovoltaic solar panel collected according to the working temperature threshold to determine whether there is a fault and issue an early warning signal. The notification and response module includes a network notification unit and an on-site notification unit. The network notification unit notifies relevant staff of the fault information in a timely manner through SMS, email or user interface push mode, and the on-site notification unit notifies on-site staff of the fault information by controlling the broadcasting equipment; The user interface allows operation staff to log in with an account and view the ambient temperature of the distributed photovoltaic grid-connected point, the surface temperature information of each photovoltaic solar panel, and real-time on-site monitoring.