Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss

Hung, Duong Quoc, Mithulananthan, N. and Lee, Kwang Y. (2014) Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss. International Journal of Electrical Power and Energy Systems, 55 179-186. doi:10.1016/j.ijepes.2013.09.007


Author Hung, Duong Quoc
Mithulananthan, N.
Lee, Kwang Y.
Title Optimal placement of dispatchable and nondispatchable renewable DG units in distribution networks for minimizing energy loss
Journal name International Journal of Electrical Power and Energy Systems   Check publisher's open access policy
ISSN 0142-0615
1879-3517
Publication date 2014-02-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.ijepes.2013.09.007
Open Access Status Not yet assessed
Volume 55
Start page 179
End page 186
Total pages 8
Place of publication London, United Kingdom
Publisher Elsevier
Language eng
Abstract This paper presents a methodology for the integration of dispatchable and nondispatchable renewable distributed generation (DG) units for minimizing annual energy losses. In this methodology, analytical expressions are first proposed to identify the optimal size and power factor of DG unit simultaneously for each location for minimizing power losses. These expressions are then adapted to place renewable DG units for minimizing annual energy losses while considering the time-varying characteristics of demand and generation. A combination of dispatchable and nondispatchable DG units is also proposed in this paper. The proposed methodology has been applied to a 69-bus test distribution system with different scenarios. The results demonstrate that dispatchable DG units or a combination of dispatchable and nondispatchable DG units can lead to a substantial reduction in annual energy losses when compared to nondispatchable DG units. The results also show that a maximum annual energy loss reduction is achieved for all scenarios proposed with DG operation at optimal power factor. (C) 2013 Elsevier Ltd. All rights reserved.
Formatted abstract
Highlights
• A method for allocating dispatchable renewable DG units to minimize energy loss.
• A method for allocating nondispatchable renewable DG units to minimize energy loss.
• A method for dispatchable and nondispatchable DG units mix to minimize energy loss.
• Analytical expressions to find the optimal size and power factor simultaneously.

This paper presents a methodology for the integration of dispatchable and nondispatchable renewable distributed generation (DG) units for minimizing annual energy losses. In this methodology, analytical expressions are first proposed to identify the optimal size and power factor of DG unit simultaneously for each location for minimizing power losses. These expressions are then adapted to place renewable DG units for minimizing annual energy losses while considering the time-varying characteristics of demand and generation. A combination of dispatchable and nondispatchable DG units is also proposed in this paper. The proposed methodology has been applied to a 69-bus test distribution system with different scenarios. The results demonstrate that dispatchable DG units or a combination of dispatchable and nondispatchable DG units can lead to a substantial reduction in annual energy losses when compared to nondispatchable DG units. The results also show that a maximum annual energy loss reduction is achieved for all scenarios proposed with DG operation at optimal power factor.
Keyword Distributed generation
Dispatchable DG
Energy loss
Nondispatchable DG
Optimal power factor operation
Renewable energy
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Fri, 04 Oct 2013, 02:09:20 EST by Hung Quoc Duong on behalf of School of Information Technol and Elec Engineering