Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Small-signal Analysis of DC Microgrid and Multi-objective Optimization Segmented Droop Control Suitable for Economic Dispatch
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This work was supported by the National Key R&D Program of China (No. 2016YFC0600906), the National Natural Science Foundation of China (No. U1810124), the Xuzhou Promoting Science and Technology Innovation Projects (No. KC18076) and the Natural Science Foundation of Jiangsu Province (No. BK20160268).

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    Abstract:

    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.

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History
  • Received:December 10,2018
  • Revised:
  • Adopted:
  • Online: June 03,2020
  • Published: