Research On Cooling Heating And Power Collaborative Optimization Of Distributed Energy System Based On Genetic Algorithm

Distributed energy systems have attracted more and more attention due to their high efficiency and low pollution emission,which is the key to the transition to a sustainable city.The optimization design and operation of the synergistic cooling,heating and power supply of distributed energy system is the focus of current research.Due to the problems of supply and demand mismatch and low energy utilization efficiency in equipment configuration and energy scheduling,it is urgent to optimize the system to improve energy utilization efficiency.This paper mainly studies the design and operation of distributed energy system based on genetic algorithm,and takes a hotel as the research object,and does the related research on equipment capacity configuration and operation optimization scheduling.Main research contents:Based on the first law of thermodynamics,the evaluation index,energy flow and thermal economy of the system were analyzed.According to the energy flow process of the system,the characteristics of the basic operating mode and the variable operating mode are analyzed.By analyzing the sensitivity of the parameters affecting system performance to energy saving index,economic index and environmental index,it is proposed that gas turbine power generation efficiency,energy price and electricity purchase price,and power generation efficiency of external grid are the parameters that have significant influence on system sensitivity.Taking a hotel as the research object,this paper designs the collaborative system of cooling,heating and power of distributed energy,and determines the structure of distributed energy system.According to the proposed evaluation index,the optimization design model of the system was established based on the multi-objective optimization problem,and the objective function of comprehensive energy,economic and environmental benefits was determined by taking the power of the gas turbine generator,the specific coefficient of the refrigeration unit and the minimum load rate of the gas turbine unit as optimization variables.Based on the multi-objective problem solving method of genetic algorithm,the inequality constraint condition is added to solve the optimization equipment capacity to optimize the configuration of the system.Furthermore,the influence of optimal configuration and optimization variables on the system is compared and evaluated.Mathematical models are established for the main equipment of the distributed energy collaborative system,including the gas turbine model as the main power unit,the lithium bromide absorption refrigeration model as the refrigeration unit,and the waste heat boiler model as the heating unit.Electric energy coupling analysis system between cold and hot,according to every15 min interval of hot and cold running of electric load demand forecasting strategy,based on the improved genetic algorithm for system operation optimization,solving each unit operation optimization power curve,energy coupling characteristics under different working conditions,through a typical day,and the analysis of the gas turbine output optimization results,system real-time operation optimization strategy.In this paper,the author studies on distributed energy heating and electricity system the system configuration optimization method and operation strategy,data and conclusions can be distributed energy system equipment selection,system optimization and operation optimization provides a kind of implementation method,the results presented in this paper for distributed energy both hot and cold electric cooperative system provides the certain reference for the development of region in the north.