Smart power plant overall solution: from 1 to N to lead the industry digital intelligence

At present, thermal power is still an important source of power supply in China, and there is still a long way to go in the transformation of energy structure. The deepening combination of digital technology and power technology will become a key engine to promote the sustainable development of the energy and power industry and achieve the goal of dual carbon. As a digital transformation expert in the field of global energy management and automation, Schneider Electric continues to explore and break through the technical difficulties in the digital transformation of both new thermal power plants and traditional (old) thermal power plants, with the anchor of the Panji Power Plant phase I project, in order to create a replicable smart power plant overall solution for the energy and power industry.

With the increasing complexity of industrial big data, power enterprises, especially large enterprises, are increasingly difficult to manage massive data, which is not conducive to data users to explore new value. Schneider Electric AVEVA PI System big data management platform can realize the joint application of static and dynamic data, through the six core functions of data collection, data archiving, equipment modeling, data analysis, event triggering, data notification, real-time data and events into trusted and high-quality operational information, providing real-time digital assets for enterprise decision makers. By efficiently sorting through massive operational data sources and data streams, Schneider Electric’s AVEVA PI System big data management platform can cover and integrate data throughout the enterprise life cycle, breaking down information “silos” and improving overall data quality, enabling power companies to further unlock the value potential of energy data elements.

ESMD113L4TXH509

On the other hand, with the increasing number of elderly people in the world, labor shortage has become one of the main challenges faced by traditional thermal power plants. At the same time, the aging of production equipment and units has brought more safety hazards to traditional power plants, and the subsequent increase in the number of invalid alarms and false alarms is easy to interfere with the judgment of operators, resulting in a decline in production efficiency. To help power companies better cope with the increasing pressure of operation and maintenance, Schneider Electric unattended solutions from advanced control, automatic unit start-stop technology APS and fault self-healing three dimensions, Features include AVEVA APC Advanced process Control, EcoStruxure™ Control Advisor PID tuning optimization, and EcoStruxure System Advisor DCS Intelligent alarm, AVEVA predictive maintenance, fault diagnosis, intelligent report and intelligent search and other series of software portfolio, enabling enterprises to achieve intelligent monitoring from “operation” to “maintenance” all conditions. The Schneider Electric AVEVA APC advanced process control system is based on model identification technology, and through the collected historical data, it can identify the dynamic mathematical relationship model between various variables in the process. With the help of this model, enterprises can calculate the change trend of the controlled variables in the future period, and update the control strategy in real time, improve the automatic input rate of the unit, and optimize the process control quality and production efficiency.

At present, to promote the implementation of the goal of “carbon peak, carbon neutrality”, the low-carbon, digital and intelligent transformation of the energy industry is the key. Among them, the power industry is a pillar industry of the national economy, and ensuring the security and stable supply of energy and electricity is related to the national economy and the people’s livelihood. To this end, Schneider Electric will rely on its deep accumulation in the construction of smart power plants, and is committed to empowering more enterprises to create a safe and reliable production environment and intelligent and efficient operation system, and promote the digital transformation and sustainable development of the energy and power industry.