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Black-start strategy for three-phase/single-phase hybrid multi-microgrids based on generalized minimum spanning tree algorithm

Authors: null Zhiji Zeng; null Ping Yang; null Zhirong Xu; null Jiajun Peng;

Black-start strategy for three-phase/single-phase hybrid multi-microgrids based on generalized minimum spanning tree algorithm

Abstract

With the assessment of single-phase microgrids (MGs), three-phase/single-phase (TP/SP) hybrid multi-microgrids (MMGs) are emerging, provided with more complex architecture. This paper deals with the black-start problem for TP/SP MMGs in islanded mode caused by an unscheduled breakdown from the main grid. The three-phase units, such as energy storage systems (ESSs), photovoltaic (PV) systems, and loads, are virtualized as single-phase units to simplify the computation complexity. Then, the fast particle swarm optimization (FPSO) algorithm applicable to the mixed integer programming problem is introduced to solve the multi-objective restoration problem. Based on the ultimate states given by FPSO, an optimum restoration path is found through the generalized minimum spanning tree (GMST) algorithm based on the improved Prim algorithm. Simulation results are presented to demonstrate the effectiveness of the proposed strategy.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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