Multi Objective Operation Optimization Of Integrated Eenergy System Considering Demand-side Management

At present,China’s energy system is still facing the problems of high proportion of fossil energy,difficulty in absorbing new energy,slow improvement of energy efficiency and high cost of energy consumption,which seriously restrict the development of China’s energy power system.With the change of energy technology and the rapid development of information and communication technology,the demand side resources in China present the form of coexistence of multiple resources.Strengthening demand side resource management(DSM)and promoting the orderly development of demand side distributed energy and load resources has become one of the ways to promote the transformation of energy structure,improve energy efficiency and reduce the cost of energy consumption.The demand side integrated energy system can effectively integrate a large number of distributed energy equipment,energy transmission network and users on the demand side of the energy power system.It plays an increasingly important role in reducing the difficulty of demand side resource management,reducing the cost of energy consumption and improving the level of energy efficiency.Strengthening the management and decision-making ability of the demand side integrated energy system to realize its economic and efficient operation is very important for improving the demand side environment of China’s energy and power system.In view of this,this paper studies the management method of demand side resources from the perspective of demand side integrated energy system,and explores the ideas and methods of cost reduction and efficiency increase of demand side integrated energy system from the perspective of demand response and operation optimization model.Firstly,this paper starts with the development characteristics of the demand side of energy and power system,analyzes the main resources and functions of the demand side of energy and power system,studies the basic classification of power demand response,establishes the price demand response model and incentive demand response model respectively,and on the basis of defining the basic characteristics of the demand side comprehensive energy system,The implementation path and method of demand side integrated energy system participating in demand response are established.Secondly,starting from the basic structure of the comprehensive energy system,the typical structure of the demand side electric thermal integrated energy system is established.The technical characteristics of the equipment in each link of the DSM are modeled and studied.Based on this,from the perspective of comprehensive energy service providers,the paper analyzes the technical characteristics of the equipment in the DSM,The basic framework of operation management of demand side electric thermal integrated energy system is established.Thirdly,based on the existing research on the operation optimization of the comprehensive energy system,the basic process of the operation optimization of the demand side comprehensive energy system is established.The multi-objective operation optimization model of the demand side electric thermal integrated energy system is constructed with the total cost and comprehensive energy efficiency as the objective,and the composition and solution characteristics of the optimization model are also proposed,The algorithm of NSGA-Ⅱ is selected and improved to obtain the Pareto solution set of two targets,and the optimal operation scheme is obtained from Pareto solution set by using multi criteria decision method.Finally,a project in northern China is selected for example study to verify the effectiveness of the proposed method.The simulation results of different schemes are analyzed and discussed from the aspects of cost composition,pollutant emission,energy efficiency improvement,demand response subsidy price and algorithm performance.The simulation results show that the total operating cost and comprehensive energy efficiency are mutually exclusive goals.The optimization model established in this paper can adapt to the demand response price of different modes,so as to realize the economic and efficient operation of demand side resources.