Parallel Control Strategy for Flexible Operation of Ultra-supercritical Units Under Digital Twin Theory

Abstract

With the rapid development of big data and cloud technology, the coordinate control of thermal power plants is fast changing to a flexible and adaptive intelligent control model. In order to improve the operational flexibility of ultra supercritical (USC) units, a parallel control scheme based on ACP method is constructed in this paper. Firstly, an artificial control system that can reflect the operational conditions of units in real-time is constructed by the digital twin technology. Then, the precise model and active disturbance rejection control method are chosen for artificial system to guide the operation of USC units using computation experiments. Afterwards, the operational stability is ensured by the parallel execution of the artificial control system and actual USC units. Finally, the remarkable control performance of USC units based on the proposed parallel control scheme is successfully confirmed on a 1000MW units.