Alternative analytical approaches for renewable DG allocation for energy loss minimization

Hung, Duong Quoc and Mithulananthan, Nadarajah (2012). Alternative analytical approaches for renewable DG allocation for energy loss minimization. In: , 2012 IEEE Power and Energy Society General Meeting. 2012 IEEE Power and Energy Society General Meeting, San Diego, United States, (1-8). 22-26 July 2012.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Hung, Duong Quoc
Mithulananthan, Nadarajah
Title of paper Alternative analytical approaches for renewable DG allocation for energy loss minimization
Conference name 2012 IEEE Power and Energy Society General Meeting
Conference location San Diego, United States
Conference dates 22-26 July 2012
Proceedings title 2012 IEEE Power and Energy Society General Meeting
Journal name IEEE Power and Energy Society General Meeting
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2012
Sub-type Fully published paper
DOI 10.1109/PESGM.2012.6344863
ISBN 9781467327275
9781467327282
ISSN 1944-9925
Start page 1
End page 8
Total pages 8
Collection year 2013
Language eng
Abstract/Summary The paper develops two new approaches based on alternative analytical expressions to determine the optimum sizes and power factors of distributed generation (DG) units at various locations for minimizing power losses and a methodology to identify the best location. These approaches can be easily adapted to accommodate different types of renewable DG units (i.e., biomass, wind and photovoltaic) for minimizing energy losses by considering the time-varying demand with all possible operating conditions of DG units. The results obtained on a 69-bus distribution system demonstrate that the proposed methods based on one load level can be adequate to determine the location, size and power factor of DG unit for minimizing energy losses.
Keyword Analytical expressions
Distributed generation (DG)
Energy losses
Renewable energy
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 161 Abstract Views, 7 File Downloads  -  Detailed Statistics
Created: Wed, 29 Aug 2012, 09:03:41 EST by Hung Quoc Duong on behalf of School of Information Technol and Elec Engineering