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
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);
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2011.6030439