DocumentCode
2366251
Title
Optimal DG sizing in primary distribution feeders using dynamic programming approach
Author
Ahmadigorji, M. ; Kenari, M. Tourandaz ; Mehrasa, M.
Author_Institution
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear
2012
fDate
18-25 May 2012
Firstpage
371
Lastpage
375
Abstract
Distributed generation (DG) corresponds to the application of small generating units which are the set up in distribution systems or near load centers. Utilization of DG influences various operational indices of the distribution feeders such as feeder loading, electrical losses and voltage profile. In addition, use of DG in its appropriate size is an essential tool to attain the DG maximum potential advantages. In this paper, an optimization method is proposed to determine the optimal size of DG in the distribution system. This method considers the system technical factors such as losses, voltage profile and loading of the primary distribution system feeders. The optimization process is solved by the forward dynamic programming (DP) algorithm to evaluate the DG effects on the mentioned technical parameters. The proposed method has been applied to the typical section of the distribution system in Iran and the results have been reported. The obtained results prove that the application of DG in its optimal size can cause the considerable improvement in the distribution system efficiency.
Keywords
distributed power generation; distribution networks; dynamic programming; energy conservation; losses; power utilisation; DG utilization; distributed generation utilization; distribution system efficiency; electrical loss; feeder loading; forward DP algorithm; forward dynamic programming algorithm; load center; optimal DG sizing method; primary distribution system feeder; voltage profile; Distributed power generation; Dynamic programming; Educational institutions; Load flow; Loading; Optimization; Reactive power; distributed generation (DG); dynamic programming (DP); loading; losses; optimal sizing; voltage profile;
fLanguage
English
Publisher
ieee
Conference_Titel
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location
Venice
Print_ISBN
978-1-4577-1830-4
Type
conf
DOI
10.1109/EEEIC.2012.6221405
Filename
6221405
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