史明明,缪惠宇,郭佳豪,姜云龙,肖小龙.面向配电网可靠性提升的综合能源系统优化配置方法[J].电测与仪表,2025,62(5):22-30. Shi Mingming,Miao Huiyu,Guo Jiahao,Jiang Yunlong,Xiao Xiaolong.Optimization configuration method of integrated energy system for reliability improvement of distribution network[J].Electrical Measurement & Instrumentation,2025,62(5):22-30.
面向配电网可靠性提升的综合能源系统优化配置方法
Optimization configuration method of integrated energy system for reliability improvement of distribution network
随着接入配电网的综合能源系统（integrated energy system,IES）规模不断扩大，IES对配电网的影响愈发突出，因此仅考虑IES自身经济性和可靠性的规划方法存在局限。针对该问题，提出了一种考虑配电网经济性和可靠性的IES多目标选址定容优化方法。文章考虑IES与配电网间的耦合互动影响，分别构建了IES-配电网联合系统经济性与可靠性评估模型。基于NSGA-Ⅱ(non-dominated sorting genetic agorithm Ⅱ)多目标优化算法，以IES与配电网各自的经济性、可靠性最优为目标，对IES的设备容量和接入点位置进行优化配置，并通过效用函数在Pareto解集中选取不同规划场景下的最优方案。通过算例验证了文中所提方法的有效性。仿真结果表明，文中所提方法可以实现IES与配电网各自经济性、可靠性的协同优化。
英文摘要:
As the scale of integrated energy system (IES) connected to the distribution network continues to expand, the influence of IES on the distribution network becomes more prominent. Therefore, there are limitations in planning methods that only consider the economy and reliability of IES. To solve this problem, this paper proposes a multi-objective optimization method of IES siting and equipment configuration considering the economy and reliability of distribution network. Firstly, considering the coupling interaction between IES and distribution network, the economy and reliability evaluation models of IES-distribution network combined system are constructed respectively. Then, based on the NSGA-Ⅱ (non-dominated sorting genetic agorithm Ⅱ) multi-objective optimization algorithm, the equipment capacity and access point location of IES are optimized with the objective of the economy and reliability of IES and distribution network respectively, and the optimal scheme under different planning scenarios is selected in Pareto solution set by utility function. Finally, an example is given to verify the effectiveness of the proposed method. Simulation results show that the proposed method can realize the cooperative optimization of IES and distribution network economy and reliability.
