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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 ( IF 6.3 ) Pub Date : 2020-02-28 , DOI: 10.35833/mpce.2018.000878
Haiyuan Liu , Yingjie Wang , Min Wang , Yinan Guo , Jiashi Wang , Gang Shen , Guoqiang Liao

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.

中文翻译:

适用于经济调度的直流微电网小信号分析和多目标优化分段下降控制

为了获得较大的下垂控制源输出/输入功率可控制范围,提出了一种适用于直流微电网经济调度的多目标优化分段下垂控制。根据小信号分析,通过对具有多个下垂控制源的简化模型进行分析,可以确定下垂控制曲线中最差的稳定性。通过将最差的稳定性点作为约束条件,在从系统层经济调度中获得新的额定运行点之后,使用精英非主导排序遗传算法来搜索拟议的下垂控制曲线的较好转折点。同时,在搜索过程中会考虑优化目标,包括消除线路电阻和容量匹配的影响。最后,
更新日期:2020-02-28
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