Operation Data based Modelling and Optimization of Thermal Power Units under Full Working Conditions

Abstract

Abstract Thermal power units are frequently operated at a wide range of working conditions due to fast and large-scale penetration of intermittent renewable power. Most existing modelling based thermal power unit operation optimization methods are developed for either full-load working condition or certain static part-load working conditions. A modelling and optimization framework capable of covering the entire range of working conditions of a thermal power unit remains a challenge. In this work, we propose an operation data based approach to process modelling of thermal power units. Mathematical models are firstly developed for key components of a thermal power unit, including pipes, stages of turbines, heat exchangers and pumps, where performance of these components may change under different working conditions. Characteristics of these components are then calibrated using operation data obtained over a certain period covering various working conditions. With the proposed method, both design and off-design performances of a thermal power unit can be monitored. A case study is provided, where the proposed method is applied in a 330 MW sub-critical thermal power unit in Shanxi, China. Results show that a substantial increase in the thermal efficiency can be achieved after applying the proposed method.