On October 15, the Ministry of Industry and Information Technology (MIIT) issued the Reference Guide for the Integration and Application of the Industrial Internet and the Electric Power Industry (2024) It mentions that digital technology has been widely applied in the power generation field, whether it is traditional thermal power, hydropower, nuclear power, or emerging renewable energy power stations such as wind power and photovoltaic power, all of which have been upgraded with intelligence. For example, power generation equipment is equipped with sensors and intelligent control systems, and through big data analysis and AI algorithms, real-time monitoring of equipment status, fault prediction and performance optimization have been realized, effectively improving power generation efficiency and safety. At the same time, digitization has also helped the accurate prediction and scheduling of renewable energy power generation. With the help of AI prediction models, the accuracy of power generation prediction of wind power and photovoltaic power stations has been improved, which helps to solve the stability problem of intermittent energy access to the power grid.
Distributed PV cluster intelligent control. The cluster intelligent control method, which realizes fine management and optimal scheduling of distributed PV clusters, is able to collect and analyze the power generation and environmental parameters of each PV unit in real time, use machine learning to predict the power generation trend, automatically adjust the working state of inverters, optimize the maximum power point tracking (MPPT), and ensure efficient and stable operation of PV clusters. At the same time, the double-layer voltage control strategy based on network division, combined with cluster autonomy and distributed coordinated control, effectively mitigates local over-voltage or under-voltage problems, reduces distribution line losses, and improves the quality of grid connection.
Intelligent operation and maintenance management of household photovoltaic. Intelligent operation and maintenance based on industrial internet realizes all-weather remote monitoring and active management of household PV system. Intelligent sensors continuously monitor the status of PV panels, current and voltage, power generation and other key indicators, and real-time data is uploaded to the industrial Internet platform. Through algorithmic analysis, the system can not only detect and locate faults in a timely manner, but also predict potential problems and automatically send out maintenance reminders. Users can visualize the system operation details and remotely control the inverters and other equipment through the cell phone APP, which greatly improves the convenience and initiative of operation and maintenance.
Centralized control of regional PV stations. Based on the centralized control of industrial Internet, it realizes remote monitoring, intelligent analysis and unified scheduling of regional PV farms and stations. Through the intelligent sensors deployed in each power station, real-time collection of light intensity, power generation, equipment status and other key data, integrated and analyzed by the industrial Internet platform, the manager can grasp the operation profile of the whole group of stations in real time, quickly identify and locate problems, and even predict potential failures through AI algorithms to realize preventive maintenance. This centralized management greatly improves operation and maintenance efficiency and reduces operation costs.
Photovoltaic power station fire intelligent early warning. The intelligent early warning method realizes all-round, real-time monitoring and intelligent analysis of the power station. The system is able to monitor the temperature, current anomalies, short-circuit signs and other fire precursors 24 hours a day, analyze the data instantly with AI models, accurately identify the risk patterns, issue early warnings, and significantly shorten the response time. Combined with a remote monitoring platform and mobile communication technology, the system can instantly notify relevant personnel and quickly dispatch firefighting resources even in remote areas.
The original text follows:
Circular of the General Office of the Ministry of Industry and Information Technology on the Issuance of the Reference Guide for the Integration of the Industrial Internet and the Electric Power Industry (2024)
Letter [2024] No. 372 of the Department of Public Works and Information Management
The competent departments of industry and information technology of provinces, autonomous regions, municipalities directly under the central government and municipalities with separate plans, Xinjiang Production and Construction Corps, the communications administrations of provinces, autonomous regions and municipalities directly under the central government, and all relevant units:
In order to implement the decision-making and deployment of the CPC Central Committee and the State Council on the development of the industrial Internet, promote the application of industrial Internet on a large scale, promote the integration of industrial Internet and key industrial chains, further deepen the integration and innovative application of industrial Internet in the electric power industry, and promote the mature experience model, the Ministry of the Ministry of Commerce organized and formulated the "Reference Guide for Integration and Application of the Industrial Internet and the Electric Power Industry (2024)". It is now issued to you, please implement it seriously in the light of the actual situation.
Reference Guide for the Integration of the Industrial Internet and Applications in the Power Sector (2024)
General Office of the Ministry of Industry and Information Technology
September 30, 2024
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