基于AMOWOA的区域综合能源系统运行优化调度

Optimal Scheduling for Regional Integrated Energy SystemOperation Based on the AMOWOA

目前,智能优化算法已广泛应用于工程优化中,在当前多能耦合与互补的能源发展趋势下,仅考虑系统经济指标的单目标优化模式已经不再适用于目前区域综合能源系统(Integrated energy system, IES)的运行优化调度,需要研究一种多目标运行策略来解决区域综合能源系统的运行优化调度问题.首先综合考虑经济与能源利用两个指标并结合商业住宅区域的特性,以系统日运行收益和一次能源利用率为优化目标构建商业住宅区域综合能源系统多目标运行优化调度模型.其次由于传统多目标智能优化算法缺乏一种最优解综合评价方法,基于非支配排序以及拥挤度计算的多目标算法框架,提出一种利用模糊一致矩阵选取全局最优解的多目标鲸鱼优化算法(A multi-objective whale optimization algorithm, AMOWOA),并将提出算法对商住区域综合能源系统多目标运行优化调度模型进行求解.最后以华东某商业住宅区域综合能源系统为例进行仿真,验证了该方法的有效性和可行性.

Now intelligent optimization algorithms have been widely used in engineering optimization.Under the current energy development trend of multi-energy coupling and complementation,the single-objective optimization model that only considers system economic indicators is no longer applicable to the optimal scheduling for integrated energy system(IES)operation,it is necessary to study a multi-objective operation strategy to solve operation optimization and scheduling of regional integrated energy system problem.First,considering the two indicators of economy and energy utilization and combining the characteristics of commercial and residential areas,a multi-objective operation optimization and scheduling model of an integrated energy system for commercial and residential areas with system daily operating income and primary energy utilization as the optimization goals is constructed.Secondly,since the traditional multi-objective intelligent optimization algorithm lacks a comprehensive evaluation method of optimal solutions,based on the framework of multi-objective algorithm with non-dominated sorting and congestion calculation,a multi-objective whale optimization algorithm(AMOWOA)is proposed to select the optimal solution using fuzzy consistency matrix,and then the optimal solution will be evaluated by AMOWOA,and then the optimal solution will be selected by AMOWOA.AMOWOA is proposed to select the global optimal solution using a fuzzy consistency matrix,and the proposed algorithm is used to solve the multi-objective operation optimisation scheduling model of an integrated energy system in a commercial and residential area.The proposed algorithm is used to solve the multi-objective operation optimisation model of commercial and residential energy system.Finally,a commercial and residential area integrated energy system in East China is used as an example to verify the effectiveness and feasibility of the proposed method.