Multi-objective micro-grid planning by NSGA-II in primary distribution system

Buayai, K., Ongsakul, W. and Mithulananthan, N. (2012) Multi-objective micro-grid planning by NSGA-II in primary distribution system. European Transactions on Electrical Power, 22 2: 170-187. doi:10.1002/etep.553

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Author Buayai, K.
Ongsakul, W.
Mithulananthan, N.
Title Multi-objective micro-grid planning by NSGA-II in primary distribution system
Journal name European Transactions on Electrical Power   Check publisher's open access policy
ISSN 1430-144X
Publication date 2012-03
Year available 2011
Sub-type Article (original research)
DOI 10.1002/etep.553
Volume 22
Issue 2
Start page 170
End page 187
Total pages 18
Place of publication Bognor Regis, West Sussex, U.K.
Publisher John Wiley & Sons
Collection year 2012
Language eng
Subject 0906 Electrical and Electronic Engineering
Formatted abstract
The paper proposes a two-stage multi-objective micro-grid (MG) planning in a primary distribution system. In the first stage, the optimal region for micro-grid is identified by the loss sensitivity factor. In the second stage, a Pareto-based non-dominated sorting genetic algorithm II (NSGA-II) is proposed to determine locations and sizes of a specified number of distributed generator units (DGs) within MG. A fuzzy decision making analysis is used to obtain the final trade off optimal solution. The proposed methodology is tested on 33-bus radial and 69-bus closed-loop distribution systems. Test results indicate that NSGA-II is a viable planning tool for practical MG system and useful contribution of MG in improving distribution system performance.
Keyword Distributed generation (DG)
Micro-grid (MG)
Load voltage deviation (LVD);
Non-dominate sorting genetic algorithm II (NSGA-II)
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Authors prepress title: "Microgrid Planning in Primary Distribution Network using NSGA-II". Article first published online: 21 JAN 2011.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
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Created: Fri, 17 Sep 2010, 14:41:41 EST by Ms May Balasaize on behalf of Faculty Of Engineering, Architecture & Info Tech