Research On Optimization Of Integrated Energy System For Industrial Parks

In recent years,with the rapid development of the world economy,human energy demand has increased significantly,accompanied by the growing shortage of energy resources and serious environmental pollution.Therefore,human beings urgently need a way that can bring benefits and protect the regional economy and environment to replace the traditional single energy use.The application of integrated energy system can integrate different kinds of energy,make full use of traditional energy and continuously develop new energy in combination with the region,which is a mainstream way to solve today’s energy problem.In order to maximize the comprehensive energy utilization efficiency in the region,predecessors only combined various energies in the park to distribute energy on a single level according to demand.This paper considers the basic models of the system’s traditional energy storage equipment,energy supply equipment and energy conversion equipment,as well as the uncertainty of the new energy affected by the external environment.Aiming at the specific region,the double-layer multi-objective integrated energy system optimization operation is carried out.Based on the previous multi-objective particle swarm optimization algorithm,this paper studies the improved particle swarm optimization algorithm based on the gray wolf algorithm.Taking the industrial park with CCHP system as the research object,reasonable system configuration and double-layer operation strategy are selected according to specific energy types to meet the objective requirements of regional operators.Through comparison,it is found that GWO-PSO algorithm is more reliable and superior than PSO algorithm.This paper mainly describes the development history and current situation of integrated energy system at home and abroad,and introduces the diversity of energy supply equipment,energy storage equipment and energy conversion equipment of common regional integrated energy system.Carry out model building and mathematical analysis for each unit of the whole system,and analyze the efficiency and external influence factors of equipment at each stage.The results obtained by previous scholars using single stage optimization can not meet the actual application of the project.On the basis of previous scholars’ use of PSO algorithm,they improved SPSO to optimize,and confirmed the superiority of SPSO through case analysis,which proved that it can save costs and bring economic benefits in engineering application.Finally,the GWO-PSO algorithm is introduced on the basis of SPSO,and the case results are analyzed to solve the problem that SPSO is prone to fall into local rigid values and large error in the solution results when optimizing the regional integrated energy system.Through comparative analysis of specific cases,six schemes are selected from the Pareto optimal solution set optimized by two algorithms for calculation,and the best system equipment selection and configuration scheme suitable for the region is compared.The system configuration and energy distribution scheme that are more in line with the actual project are solved,which proves the economy and superiority of GWO-PSO in the application of multi-objective optimization planning in practical projects.The economic and environmental objectives of the integrated energy system have been achieved,bringing scientific significance to the efficient utilization of various energy sources,reduction of environmental pollution and energy waste.Figure [23] Table [15] Reference [80]...