计及节能性的多异质能源系统多目标协同优化

Multi-objective Cooperative Optimization of Multi-heterogeneous Energy System Considering Energy Conservation

多异质能源系统规划与运行往往仅考虑单一优化目标,不利于在经济运行、低碳排放与能源节约之间平衡,为此提出计及节能性的多维目标协同优化方法。首先,提出同时考虑系统经济性、环保性及节能性的多维优化目标,并通过对系统中的能源转换和分配等设备进行建模,建立多异质能源系统的多目标优化模型框架;然后,采用第三代快速非支配排序多目标遗传优化算法求解,得到最优可行解集(帕累托最优解集);最后,基于仿真案例,通过最优解集和决策者偏好分析,验证所提方法的有效性,同时表明计及节能性目标能避免系统过度倾向消耗天然气能源。

The planning and operation of multi-heterogeneous energy systems often only considers a single optimization objective,which is not conducive to the balanced among economic operation,low carbon emission and energy conservation.This paper proposes a multi-dimensional objective collaborative optimization method that considers energy saving.Firstly,a multi-dimensional optimization objective is proposed with consideration of system economy,environmental protection and energy saving,and a multiobjective optimization model framework for multi-heterogeneous energy system is established by modeling energy conversion and distribution equipment in the system.Then,the NSGA-Ⅲ(non-dominated sorting genetic algorithmⅢ)is utilized to solve the multiobjective collaborative optimization model proposed in this paper,and the optimal feasible solution set(Pareto optimal solution set)is obtained.Finally,based on the simulation example,the effectiveness of the proposed method is verified through analysis of the optimal solution set and decision-maker preference.It is also demonstrated that considering the objective of energy conservation can avoid the system's excessive preference to consuming natural gas energy.