Aiming at solving problems occurred during optimization of complex processes of coalfired power generation

an operation performance evaluation based optimization method of controllable parameters for coal-fired power processes was proposed.On the basis of analyzing the technology and mechanism of coal-fired power generation

the lazy learning strategy based local modeling method was applied to establish the local dynamic models of turbine heat rate and boiler efficiency.Comprehensive evaluation for the unit operation performance was conducted by using fuzzy comprehensive evaluation method.According to the current operation boundary conditions and comprehensive evaluation grade

the case-based reasoning method was employed to obtain the optimization target values of the controllable parameters when the unit ran with better performance.Then the closed-loop optimization setting for controllable parameters was realized on the basis of evaluation for the optimization target values.The simulation results show that

the proposed method can improve the unit's operation performance significantly

thus to solve the problems about operation optimization during coal-fired power process.