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

Journal of Modern Power Systems and Clean Energy

Guoqiang Liao¹  Jiashi Wang²  Yingjie Wang²  Min Wang²  Haiyuan Liu³  Yinan Guo³  Gang Shen⁴ 

[1] CRRC Zhuzhou Locomotive Co., Ltd.,Zhuzhou,China,412001;School of Electrical and Power Engineering, China University of Mining and Technology,Xuzhou,China,221000;School of Information and Control Engineering, China University of Mining and Technology,Xuzhou,China,221000;School of Mechanical Engineering, China University of Mining and Technology,Xuzhou,China,221000;

关键词: Small signal;    DC microgrid;    droop control;    elitist non-dominated sorting genetic algorithm (NSGA-Π;    );   

DOI  :  10.35833/MPCE.2018.000878

来源: DOAJ

【 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.

【 授权许可】

Unknown