Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch

• 作者: Gang Shen Guoqiang Liao Haiyuan Liu Jiashi Wang Min Wang Yinan Guo Yingjie Wang
• 来源期刊: 现代电力系统与清洁能源学报(英文)
• 学科: 工学
• 关键词: Small signal DC microgrid droop control elitist non-dominated sorting genetic algorithm(NSGA-П)
• 年，卷（期）: 2020,（3）
• 页码范围: 564-572
• 页数: 9页
• 分类号: TN3

摘要

To obtain a larger controllable range of output/input power of droop-control sources,a multi-objective optimization segmented droop control suitable for economic dispatch for a DC microgrid is proposed.According to the small-signal analysis,the worst point of the stability in the droop-control curve is determined through the analysis of a simplified model with multiple droop-control sources.By considering the worst points of stability as constraints,an elitist non-dominated sorting genetic algorithm is used to search the better turning points of the proposed droop-control curves after obtaining the new rated operation points from the system-layer economic dispatch.Simultaneously,optimization objectives,including the influence of eliminating the line resistance and capacity matching,are considered in the search process.Finally,the simulation results of the DC microgrid simulation model based on RT-Lab are presented to support the stability conclusion and proposed droop control.