Study On Optimized Allocation And Operation Of Cogeneration System In Industrlal Park

The use of traditional fossil fuels has brought about serious environmental problems.As a result,the uncoordinated development of our economy,energy and environment has become particularly important in finding suitable alternative energy sources.However,the industrial park has become an important part of the regional energy system.Due to the different energy demands of electric load,heat load and cooling load in industrial park,it is the current focus issue to make the energy supply system economically,environmentally friendly and economically efficient on the basis of rational allocation of cascade utilization of energy.However,the optimal system configuration optimization becomes a crucial issue.This paper mainly studies the optimal configuration of the CCHP system in the industrial park,adds renewable energy and energy storage devices to the energy supply side during the project setting,and makes a contrastive analysis with the triple-fed system when it is not involved.The specific content as follows:First of all,this paper establishes the photovoltaic power generation model,wind power generation model,energy storage equipment model and the sub-equipment model of the combined heat and power system.Established a multi-objective evaluation model of economy,energy efficiency and environment.Then,the most suitable optimization algorithm-chaotic particle swarm optimization algorithm is selected for the industrial park,the weight coefficient of each index is determined by expert scoring method,and the multi-objective function is transformed into a single objective function.Three schemes of adding renewable energy photovoltaic and wind power to the traditional triple-fed system are studied.An optimization objective function model of the corresponding system is established for different schemes,and the corresponding system constraints are listed.Then,based on the example analysis,this paper simulates the time-dependent cold,heat and electric load of the triple-combined supply and the hourly load of typical day in winter,summer and transitional season,analyzes the distribution of cold,heat and electric load,and uses the chaotic particle swarm optimization The three schemes are optimized for the capacity and the number ofequipment operated and compared with the sub-supplier system to obtain the optimization plan that conforms to the industrial park,and the reasonable capacity and number of equipment operation are configured.Finally,the differences between the evaluation indexes of the co-payment system in the winter,summer and transitional quarters compared with those of the sub-supplier system are analyzed and compared with different weighting factors,and the reasonableness of weighting by the expert scoring method is obtained.The operational strategies of winter,summer and transitional season are also analyzed.