Economic Operation Optimization of Desulfurization System Based on Improved Differential Evolution Algorithm
Luoliang Chen, Yuliang Qian, Xing Lu · 2022 7th International Conference on Power and Renewable Energy (ICPRE) · 2022
Aiming at the characteristics of non-linearity and complex lag of desulfurization system, an improved differential algorithm is proposed to optimize the parameters of desulfurization system. The pH value, slurry density and liquid level height are used as control targets and safety ranges, and emission indicators are used as constraints to make decisions. maximize economic benefits. An adaptive operator is introduced on the basis of the differential evolution algorithm to improve the global optimum. At the same time, the crossover operator is modified to improve the system diversity. The results show that, compared with GA algorithm, PSO algorithm and differential evolution algorithm, the improved differential evolution algorithm can meet the requirements of desulfurization system economy and energy-saving emission, and has guiding significance for desulfurization system decision-making.