DocumentCode :
3570733
Title :
Optimal Filter Placement and Sizing Using Ant Colony Optimization in Electrical Distribution System
Author :
Alhaddad, Fawaz Masoud ; El-Hawary, Mohamed
Author_Institution :
Dept. of Electr. & Comput. Eng., Dalhousie Univ. Halifax, Halifax, NS, Canada
fYear :
2014
Firstpage :
128
Lastpage :
133
Abstract :
This paper presents an application of the Ant Colony algorithm for optimizing filter placement and sizing on a radial distribution system to reduce power losses and keep the effective harmonic voltage values and the total harmonic distortion (THD) within prescribed limits. First, a harmonic load flow (HLF) algorithm is performed to demonstrate the effect of harmonic sources on total power loss. Then the Ant Colony algorithm is used in conjunction with HLF to place a selection of filter sizes available at each possible location so that both power loss and THD are minimized. As a result the optimal adjustment of location and size of the filter are determined. Results of computational experiments on standard test systems are presented to demonstrate improvement and effectiveness of using the filters at the optimal location. The methodology used can be easily extended to different distribution network configurations.
Keywords :
ant colony optimisation; harmonic distortion; power distribution planning; power harmonic filters; power system harmonics; HLF algorithm; THD; ant colony optimization; distribution network configurations; electrical distribution system; harmonic load flow algorithm; harmonic sources; harmonic voltage values; optimal filter placement; power losses; radial distribution system; total harmonic distortion; Filtering algorithms; Harmonic analysis; Information filtering; Linear programming; Load flow; Power harmonic filters; Ant Colony System (ACS); Harmonic Load Flow (HLF); Radial Distribution Systems (RDS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Power and Energy Conference (EPEC), 2014 IEEE
Type :
conf
DOI :
10.1109/EPEC.2014.41
Filename :
7051688
Link To Document :
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