基于EBSILON的母管制热电联产系统多目标负荷优化研究

Multi-objective Load Optimization Study of Main-pipeline CHP Units Based on EBSILON

目前电厂负荷优化分配是降低发电煤耗和污染物排放、提高经济效益的重要技术手段之一。针对某“4炉2机”母管制热电联产机组,应用EBSILON仿真软件建立供电、供热的优化运行模型,将电厂历史运行数据与仿真数据进行对比,验证了模型准确性。考虑环保性和经济性,基于主观赋权法-层次分析法和客观赋权法-CRITIC法,为各优化目标赋权重,构建多目标优化体系。然后分别采用枚举法和花粉算法选取生产实时数据进行负荷优化分配计算,并利用EBSILON进行变工况计算验证。结果表明该优化方式能取得较好的节能降碳效果,可降低煤耗量约550 t/月,减少二氧化碳排放量约1139 t/月、污染物排放量约0.24 t/月,为热电联产机组的优化运行提供了一种新思路。

At present,the optimal distribution of power plant load is one of the most important technical means to reduce coal consumption,pollutant emissions,and improve economic efficiency.For a main-pipeline CHP(Combined Heat and Power)unit composed of four boilers and two steam turbines,EBSILON simulation software is applied to establish an optimal operation model for power and heat supply,and the model accuracy is verified based on the comparison between the historical operation data of the plant and the simulation values.Considering the environmental protection and economy,each optimization objective is assigned weight,and the multi-objective optimization system is constructed based on the integrated weight assignment of subjective weighting method-Analytic Hierarchy Process and objective weighting method-CRITIC.Then enumeration method and flower pollination algorithm were used to select real-time production data to optimize load distribution calculation,and EBSILON was used to calculate and verify the variable working conditions.The results show that this optimisation method can achieve better energy saving and carbon reduction effect.In one month,the amount of coal consumption can be reduced by about 550 tons,carbon dioxide emissions by about 1139 tons and pollutant emissions by about 0.24 tons,which provides a new idea for the optimal operation of CHP units.