基于GWO算法的脱硫系统出口SO_(2)排放浓度目标值预测  

Target Value Prediction of SO Emission Concentration at the Outlet of Desulfurization System based on GWO Algorithm

作　　者：马利君 尚江峰 王涛[2] 司风琪[2] MA Li-jun;SHANG Jiang-feng;WANG Tao;SI Feng-qi(Datang Environmental Industry Group Co.Ltd.,Franchised Operation Division,Nanjing,China,211100;Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education,School of Energy and Environment,Southeast University,Nanjing,China,210096)

机构地区：[1]大唐环境产业集团股份有限公司特许经营分公司,江苏南京211100 [2]东南大学能源热转换及其过程测控教育部重点实验室,能源与环境学院,江苏南京210096

出　　处：《热能动力工程》2021年第6期119-125,共7页Journal of Engineering for Thermal Energy and Power

摘　　要：考虑环保税对燃煤机组效益的影响,对脱硫系统综合成本进行了分析,建立了脱硫系统最佳出口SO_(2)排放浓度排放目标值模型,利用灰狼优化算法(GWO)对模型进行了优化求解以获得脱硫系统综合成本最低条件下的出口SO_(2)排放浓度。研究表明:在环保税单价高的地区,脱硫综合成本中环保税所占比重较大,此时降低出口SO_(2)排放浓度在一定程度上可以减少电厂的脱硫综合成本,随着环保税单价的增加,最佳出口SO_(2)排放浓度逐渐减小。Considering the impact of environmental protection tax on the benefits of the coal-fired unit, comprehensive operating cost of the desulfurization system was analyzed.The optimal target value model of emission concentration of SO_(2) at the outlet of desulfurization system was established, and the gray wolf optimization algorithm(GWO) was used to obtain the optimal emission concentration of SO_(2) under the lowest comprehensive cost.Research results show that in the area with the high environmental protection tax, environmental protection tax accounts for a large proportion of the comprehensive desulfurization cost.In this case, a low SO_(2) emission concentration leads to a low comprehensive cost of desulfurization, to a certain extent.With the increase of environmental protection tax, the optimal SO_(2) emission concentration gradually decreases.

关 键 词：脱硫系统 脱硫综合成本 灰狼优化算法 环保税 目标值 

分 类 号：TK284[动力工程及工程热物理—动力机械及工程]