Loss reduction and loadability enhancement with DG: a dual-index analytical approach

Hung, Duong Quoc and Mithulananthan, N. (2014) Loss reduction and loadability enhancement with DG: a dual-index analytical approach. Applied Energy, 115 233-241. doi:10.1016/j.apenergy.2013.11.010

Author Hung, Duong Quoc
Mithulananthan, N.
Title Loss reduction and loadability enhancement with DG: a dual-index analytical approach
Journal name Applied Energy   Check publisher's open access policy
ISSN 0306-2619
Publication date 2014-02-15
Year available 2013
Sub-type Article (original research)
DOI 10.1016/j.apenergy.2013.11.010
Open Access Status
Volume 115
Start page 233
End page 241
Total pages 9
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Language eng
Subject 2205 Civil and Structural Engineering
2100 Energy
Abstract The high penetration of distributed generation (DG) is a new challenge for traditional distribution systems. Power injections from DG units change network power flows, thereby influencing system losses and voltage stability. This paper presents a new multiobjective index (IMO)-based analytical approach to determine the optimal size and power factor of DG unit for reducing power losses and enhancing loadability. This index is defined as a combination of active and reactive power loss indices by optimally assigning a weight to each index such that the IMO can reach a minimum level. At this level, the optimal location and weights are identified. The proposed methodology has been tested on three typical distribution systems with different characteristics and validated using an exhaustive load flow (ELF) solution. The results show that DG operation with optimal power factor and appropriate weights for active and reactive power losses can significantly reduce power losses and enhance loadabi
Keyword Distributed generation
Optimal power factor
Optimal size
Reactive power loss
Active power loss
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 22 times in Thomson Reuters Web of Science Article | Citations
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Created: Sun, 01 Dec 2013, 03:13:17 EST by Hung Quoc Duong on behalf of School of Information Technol and Elec Engineering