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The Journal of Engineering
Article . 2019 . Peer-reviewed
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The Journal of Engineering
Article
License: CC BY NC ND
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Research on islanding partition algorithm for the multi‐microgrids

Authors: Jie Zeng; Jiajun Peng; Chi Zhang; Wei Zhang; Shaoxiong Zhou;

Research on islanding partition algorithm for the multi‐microgrids

Abstract

With the widespread application of microgrids, a number of adjacent microgrids in a certain area will form multi‐microgrids (MMGs) with three‐phase/single‐phase (TP/SP) architecture. Owing to the complicated structure and the various operation modes of MMGs, it is an urgent problem that how to achieve seamless handoff between multiple operation modes in the MMGs. Based on the analysis of the topology of MMGs with TP/SP architecture and the hierarchical control architecture, this study proposes the islanding partition method algorithm correspondingly. The discrete particle swarm optimisation algorithm is proposed to solve the problem by establishing the comprehensive evaluation of islanding MMGs with TP/SP architecture, which can effectively solve the problem of dimension explosion when the number of microgrids increases. The results of simulation show the applicability of the proposed strategy for MMGs.

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Keywords

adjacent microgrids, power generation control, hierarchical control architecture, islanding MMG topology, islanding partition method algorithm, discrete particle swarm optimisation algorithm, Engineering (General). Civil engineering (General), multimicrogrids, multiple operation modes, distributed power generation, single-phase architecture, three-phase architecture, TA1-2040, TP-SP architecture, islanding partition algorithm, particle swarm optimisation, power generation faults

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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!
2
Average
Average
Average
gold