DocumentCode
3452333
Title
Optimal DG placement for minimizing power loss in distribution feeder systems using sensory-deprived optimization algorithm
Author
Abu-Mouti, F.S. ; El-Hawary, M.E.
Author_Institution
Dept. of Electr. & Comput. Eng., Dalhousie Univ., Halifax, NS, Canada
fYear
2011
fDate
8-11 May 2011
Abstract
The considerable benefits of applying a DG-unit such as power loss reduction, environmental friendliness, voltage improvement, postponement of system upgrading, and increasing reliability, have resulted in significant research interest. This paper presents an application of the newly introduced sensory-deprived optimization algorithm (SDOA) to determine the optimal DG-unit´s size, power factor and location to minimize the total system real power loss. The SDOA algorithm is a meta-heuristic, population-based optimization technique inspired by the intelligent behavior/survival of sensory-deprived human beings. To validate the results of applying SDOA, the IEEE 33-bus and 69-bus feeder systems are tested. The results are compared with those found using other methods. The outcomes verify that the SDOA is efficient, robust, fast and capable of handling mixed integer nonlinear optimization problems. The efficiency of the proposed SDOA is confirmed by the fact that the standard deviation of the results attained for 30 independent runs is virtually zero.
Keywords
distributed power generation; integer programming; nonlinear programming; 69-bus feeder systems; DG-unit; IEEE 33-bus; SDOA algorithm; distribution feeder systems; mixed integer nonlinear optimization problems; optimal DG placement; power loss; power loss reduction; sensory-deprived optimization algorithm; Algorithm design and analysis; Distributed power generation; Genetic algorithms; Load flow; Optimization; Reactive power; Distributed Generation; Power Loss Reduction; Sensory-Deprived Optimization Algorithm (SDOA);
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location
Niagara Falls, ON
ISSN
0840-7789
Print_ISBN
978-1-4244-9788-1
Electronic_ISBN
0840-7789
Type
conf
DOI
10.1109/CCECE.2011.6030439
Filename
6030439
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