基于EBSILON的母管制热电联产系统多目标负荷优化研究OA

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.