Multi-objective Operation Optimization Method Of IES Based On Pareto Optimization

The integrated energy system is the main form of transportation,transformation and bearing of energy utilization nowadays and even in the future,and its multi-objective operation optimization method has attracted much attention.At present,Pareto optimization has become the main solution method for the multi-objective operation optimization method of comprehensive energy system because of its advantages of multiple alternatives.However,because of the direct calculation of the uniform Pareto front and then the strategy selection,it is bound to pay a huge amount of calculation,and with the increase of the objective dimension,the amount of calculation increases sharply.In fact,in order to meet the user side load demand,the integrated energy system needs to predict the load in real-time,short-term or long-term,and with the addition of more and more energy conversion equipment,when the load forecast changes greatly or the system equipment breaks down suddenly,how to adjust the operation scheduling scheme in time and effectively under the premise of ensuring good optimal adjustment results has important research value and practice Meaning.This paper focuses on the 24-hour operation optimization method of the integrated energy system.The main research contents are as follows:Firstly,this paper summarizes the development process and research situation of the integrated energy system at home and abroad,and establishes the mathematical model of each equipment of the integrated energy system on the basis of the basic structure of the integrated energy system;Secondly,the mathematical models of energy consumption,cost and pollutant emission are established,meanwhile,the multi-objective operation optimization model of integrated energy system is established with the European distance between normalized multi-objective point and normalized ideal point as the objective function;Thirdly,a new multi-objective operation optimization solution method,which combines scalarization method,ideal point method and normal vector method,is proposed,and its feasibility is verified theoretically.Combined with theory and practice,the solution steps are determined.First,the Pareto front is solved roughly,while assuming that the comprehensive energy system is in an ideal state,that is,the point system on the Pareto front can be achieved.Second,the global optimal solution is pre-selected on the Pareto front fitting surface through the objective function.Third,the weight vector of the ideal global optimal solution is determined through the normal vector method.Then,considering that the inaccuracy of the integrated energy system fitting surface will result in the inaccuracy of the weight vector,the"optimal solution" is searched by subdividing the weight vector in a certain range of the weight vector of the ideal global optimal solution.Considering that the integrated energy system has the characteristics of nonlinearity and discontinuity,the "optimal solution" may be the dominated solution.In order to ensure the global optimization of the multi-objective operation mode,the practical global optimal solution is selected by the objective function in the "optimal solution"and searched Pareto non inferior solutions;Next,we compare and analyze the optimal scheduling results under different objectives,while the scalarization&ideal point&normal vector method,the traditional scalarization method and PSO method are compared;At the end of this paper,the research content is summarized and the future research direction is prospected.