Modelling and combustion optimization of coal-fired heating boiler based on thermal network

Abstract

Based on the thermal network and the MATLAB artificial intelligence toolkit, a combustion optimization hybrid modelling of a 300 MW coal-fired power station boiler is carried out. The boiler is optimized for combustion, and the weight coefficient method is used to convert the multi-objective optimization problem into a single-objective optimization problem. The results show that the relative error average absolute value of the boiler thermal efficiency and NOx emission mass concentration calibration samples are 0.142% and 1.790%, the model has good accuracy and generalization ability. The weight coefficient method can select the corresponding weight coefficient according to the actual situation, with the boiler thermal efficiency or NOx emission mass concentration as the optimization focus, which has certain guiding significance for combustion optimization.