Mitigating unbalance using distributed network reconfiguration techniques in distributed power generation grids with services for electric vehicles: a review

Md Rabiul Islam*, Haiyan Lu, M. J. Hossain, Li Li

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

17 Citations (Scopus)

Abstract

With rapid movement to combat climate change by reducing greenhouse gases, there is an increasing trend to use more electric vehicles (EVs) and renewable energy sources (RES). With more EVs integration into electricity grid, this raises many challenges for the distribution service operators (DSOs) to integrate such RES-based, distributed generation (DG) and EV-like distributed loads into distribution grids. Effective management of distribution network imbalance is one of the challenges. The distribution network reconfiguration (DNR) techniques are promising to address the issue of imbalance along with other techniques such as the optimal distributed generation placement and allocation (OPDGA) method. This paper presents a systematic and thorough review of DNR techniques for mitigating unbalance of distribution networks, based on papers published in peer-reviewed journals in the last three decades. It puts more focus on how the DNR techniques have been used to manage network imbalance due to distributed loads and DG units. To the best of our knowledge, this is the first attempt to review the research works in the field using DNR techniques to mitigate unbalanced distribution networks. Therefore, this paper will serve as a prime source of the guidance for mitigating network imbalance using the DNR techniques to the new researchers in this field.

Original languageEnglish
Article number117932
Pages (from-to)1-19
Number of pages19
JournalJournal of Cleaner Production
Volume239
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Distribution network reconfiguration
  • Phase swapping
  • Unbalance mitigation
  • Electric vehicles (EVs)
  • Distributed generation (DG)
  • Optimization method

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