Implementation of Online Digital Twin Framework for Thermal Power Plant

Power system is the largest, most complex, capital and technology-intensive artificial composite system in all industrial systems in the world so far, and is one of the most important achievements in the history of the science of human engineering. Considering safety and stability, the design and management of power systems are becoming increasingly important. With the breakthrough in network technology, information technology, modeling, and optimization technology, digital twins are expected to be applied in practical systems to solve the problems mentioned above. The proposed framework follows a front-end and back-end separation approach, providing support for seamless integration with web pages, mini programs, and mobile apps through plug-in access. This unified framework offers a comprehensive set of functionalities, including status synchronization, parameter tuning, web-based algorithm design, visual configuration of customized user interfaces, and real-time control using online digital twin control strategies. This paper contributes to the design and implementation of a unified and adaptable online digital twin framework that covers the entire control system process for thermal power plants. Through a case study conducted on an operational thermal unit, it is demonstrated that the implemented online digital twin framework can effectively support various daily management and training tasks.