A System-User Bilateral Collaborative Operation Optimization In Integrated Multi-Energy System

Currently,the energy and environmental issues has gradually become the main obstacles of social sustainable development,however,the emergence of the Energy Internet eases the shortage of traditional energy and the environmental issues.Integrated Multi-Energy System gathers integration with different energy networks,satisfies the users' many kinds of energy demand,which makes the correlation of all sorts of energy system increases greatly,and it is one of most widely applied forms of Energy Internet.IMES has a tentative inspiration effect on the global energy development and transformation of energy structure researches.With more energy device type joining in the system,the various energy interactions in IMES become complicated,which also requires higher requirements for operation optimization.This paper takes the advantages of the IMES multi-energy collaborative features to improve the economic benefit of system operation,specific work is done as follows:First of all,on the basis of energy hub architecture the system,the input and output characteristics of energy hub are analysed and the model is proposed,taking the effect of energy secondary distribution on the overall adjustment and distribution factors are taken into account.On the system side,the modeling considers the system of multiple energy system in different load characteristics of energy conversion equipment,and established the model respectively.On the basis of system structure and equipment model in this paper,the energy flow in system and the working principle are analysed,and the system input and output nonlinear model considering secondary energy conversion distribution area is proposed.On the user side,according to the time of user demand and the characteristics,the loads are classified into four kinds of comprehensive energy demand and three kinds of load response mode are put forward,analyzing the multi-energy replaceable effects in the system.In this way,a user side comprehensive energy demand response model considering the alternative characteristics in IMES is established.Then,based on the principle of user and system bilateral cooperation operation optimization,this paper takes the comprehensive regional energy operator as the main body of IMES and established a operation optimization model,the model is to optimize the largest comprehensive benefit of the operator.In the optimization model incomes includes energy sale,grid subsidies are the cost includes the energy cost,environmental compensation and response subsidies.The constraints includes the four kinds of energy balance equation constraints and inequality constraints included equipments and loads constraints,etc.Finally,this paper establishs comparison of the three kinds of schemes,and by using particle swarm optimization(PSO)algorithm for optimization regional on a typical day in summer the operation optimization results are obtained.Unit energy costs is proposed to analysis the comprehensive benefit,heat(cold)-electricity ratio and the operation scheduling strategy of three kinds of scheme.The results verified that the collaborative strategy in this paper is effective.The operation optimization realizes the efficient running of internal power equipment,enhances the user side response capacity,and effectively reduces the operators' energy cost,improves the comprehensive benefits.