Huaihe Energy Holding Group Panji Power Plant (hereinafter referred to as: Panji Power Plant) Phase II 2×660MW ultra-supercritical coal-fired unit project has officially started, is currently in full swing construction. Huaihe Energy Holding Group is one of the top 500 enterprises in China and one of the key enterprises in Anhui Province, one of the 1.4 billion ton coal bases and six large coal power bases in China, and also the largest enterprise in coal production and power scale in Anhui Province, with 27 holding and participating power plants and a total installed power capacity of 37.81 million kilowatts.

In March this year, the National Energy Administration issued Several Opinions on Accelerating the Development of Digital and Intelligent Energy, emphasizing the construction of new infrastructure that integrates traditional energy and digital and intelligent technology, releasing the value potential of energy data elements, and building a clean, low-carbon, safe and efficient energy system.

In this context, Huaihe Energy Group’s Phase II Panji Power Plant project, as the national “Yangtze River Delta Regional Energy Integration High-quality Development Plan” and Anhui Province’s “14th Five-Year Plan” and provincial key dispatching project, will rely on Schneider Electric’s digital innovation technology accumulation, application practice and delivery results in the construction of the first phase of Panji Power Plant. It is committed to building a national demonstration project of modern green energy base.

Panji Power Plant phase I construction: from 0 to 1 to build a smart power plant

At the beginning of this year, the first phase of the Panji Power Plant project was successfully put into full operation, which is the first project of 660MW ultra-supercritical unit construction funded by Huaihe Energy Group and participated by Schneider Electric for the first time. With the goal of creating a high-quality example of industry-leading smart power plants, Schneider Electric has completed 11 replicable and reusable group-level digital transfer standard documents based on national power standards and combined with the actual situation of Panji Power Plant (Phase I), from planning and design, installation trial operation, to delivery and production, and based on 16,500 KKS codes of its original design institute, Expanded to more than 50,000 KKS codes, helping Panji Power Plant to establish a unified, professional and high-quality digital asset.

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In the construction of “virtual power plant” in Panji Power Plant, Schneider Electric deployed the AVEVA AIM digital delivery system based on digital twin technology for its “Innovation Studio”. Through the three-dimensional modeling of the physical scene in 1:1 restoration of the power plant, it built a three-dimensional visual report, which not only realized the visualization of the data of the power plant, but also realized the visualization of the data of the power plant. It has also opened up data integration with the production operation management system and built an asset equipment information portal for the whole life cycle. The automated, intelligent and efficient multi-source data processing center in the platform can build a big data network based on the association relationship, and cooperate with the single sign-on function, which further contributes to the “three-minute plan” of Panji Power Plant, which can obtain all the engineering and operation and maintenance information of the power plant in three minutes, effectively reduce the data retrieval time and labor costs, and improve the work efficiency of personnel. In addition, by combining the AVEVA AIM digital delivery system with the AVEVA Engage touch decision making large-screen decision making system, Panji Power Plant can obtain real-time information when dealing with emergency situations in the future, effectively optimizing the overall operation and decision efficiency. After the joint transformation of the two sides, the “innovation Studio” has been upgraded to a more high-end and intelligent new smart power plant display platform, enabling front-line workers to better communicate and learn.

In order to ensure the safety and stability of power production, Panji Power plant needs to continuously monitor the status of equipment, timely capture the early signs of equipment failure, intervene in advance diagnosis and take preventive measures. By deploying Schneider Electric’s AVEVA Predictive Analytics predictive maintenance system, workers can move from passive maintenance to active defect elimination, post-work troubleshooting to pre-defect management, and realize power plant fault warning and intelligent operation and maintenance through online spot inspection and failure prediction. At the same time, the system collects and analyzes massive historical data based on machine learning algorithms to help the power plant establish a unique operation model, which can intelligently identify equipment status and external environment changes, achieve working condition desensitization and reduce false positive rate, fully tap the value of data, and improve the overall operation efficiency. In order to accumulate, integrate and inherit the diagnostic knowledge of Panji Power Plant, Schneider Electric presets the diagnostic knowledge base in the system based on its own experience in equipment diagnosis in the past decades, which can be continuously expanded and improved according to field experience. According to a Deloitte report analysis, with Schneider Electric predictive maintenance software, enterprises can significantly reduce equipment downtime, reduce maintenance and material costs, and improve the efficiency of power generation units, with an estimated average return on investment of 14.5 months.