基于Pareto解集的工业园区微网优化配置研究

Research on optimization algorithm of industrial park microgrid configuration based on Pareto solution set

工业园区各类能源耦合性较差,不同能源系统独立运行,能源利用率较低,需从多类能源互联集成和互补融合入手,提高能源的综合利用效率和可再生能源的利用率。提出了一种工业园区综合能源微网方案,以总成本、污染治理费、电网可靠性、风光互补性为目标函数和约束条件,建立了多能微电网优化模型。设计了一种基于Pareto最优解集的多目标差分算法并采用熵权法确定每个评价指标的权重,将多目标运算转化为单目标运算。仿真结果表明,该算法在微电网端可有效降低传统能源的消耗,加强清洁能源的有效利用,减少碳排放量并降低系统运行成本。

In industrial parks,the coupling between traditional energy is weak,and systems of different energy operate independently,which leads to a low energy utilization rate.To improve the comprehensive efficiency of energy and utilization rate of renewable energy,different energy should be integrated in a system and complement each other.A scheme of an integrated energy microgrid for industrial parks is proposed.And the optimization model for the multi-energy microgrid is constructed,with the minimal total cost and pollutant treatment cost,as well as power grid stability and complementarity between wind and photovoltaic power as the model's objective functions and constraints.A multi-objective difference algorithm is designed based on Pareto optimal solution set,and the weight of each evaluation index is determined by entropy weight method,which turns a multi-objective function into single-objective functions.According to the simulation results,the utilization rate of renewable energy can be improved,the consumption of traditional energy,carbon emissions and economic costs of the microgrid can be reduced by the proposed algorithm.