| Now days,the global environmental problem and energy problem are becoming increasingly serious.Improving energy efficiency and protecting the environment are the focus of global research.The building-scale distributed energy system uses clean energy such as natural gas or renewable energy as the main energy source,and is built on the user side to achieve temperature counterparts on both sides of the supply and demand.This method reduces energy loss during the transmission process and maximizes the energy efficiency,which responds to the sustainable energy development strategy.Therefore,as an energy-saving and environment-friendly energy supply method,building-scale distributed energy system has became a global research hotspot.Appropriate system configuration and operation strategy are the keys to the good operation of the distributed energy system.Therefore,in order to improve the comprehensive benefits of the distributed energy system,the system planning and operation must be reasonably optimized.The main research contents of this article are as follows:(1)The terminal loads of four typical building types are calculated by sharing factor method,and the changing characteristics of each building load are analyzed.(2)Comprehensive consideration of energy saving,economical and environmental protection factors,a multi-objective evaluation index is established through weight coefficient allocation,which is based on primary energy saving rate,annual cost saving rate and pollutant emission reduction rate.Taking the comprehensive benefit as the objective function,using a two-stage optimization approach,combining particle swarm optimization with linear programming,multi-objective optimization model of distributed energy system with photovoltaic power generation system and energy storage is established.(3)Based on the dynamic loads of the four building structures,the optimal capacity allocation and the corresponding optimized operation strategy of each building-scale distributed energy system are calculated through the optimization model,and the comprehensive benefits of each building are compared and analyzed.(4)The influence of energy storage devices on the operation strategy and comprehensive performance of each building are compared and analyzed.The impact of different weighting factors on system capacity optimization and comprehensive performance are studied.The sensitivity of load and energy price changes to system optimization results are discussed. |