DocumentCode
674778
Title
Artificial Bee Colony algorithm for optimal placement and sizing of distributed generation
Author
Seker, Ayse Aybike ; Hocaoglu, Mehmet H.
Author_Institution
Dept. of Electron. Eng., Gebze Inst. of Technol., Kocaeli, Turkey
fYear
2013
fDate
28-30 Nov. 2013
Firstpage
127
Lastpage
131
Abstract
In electric power networks, to satisfy the increasing demand, various methods have been improved and implemented. Distributed generation (DG) is one of these methods which has many advantages as providing loss reduction, improving voltage profile, and increasing reliability. Besides renewable energy sources like solar cells, wind turbines, fuel cells, and small hydro turbines can be used as a DG-unit. In this paper, DG-unit placement and sizing process is performed with Artificial Bee Colony (ABC) algorithm. ABC algorithm is a meta-heuristic approach inspired by the intelligent foraging behavior of honey bee swarms. 33, 69, 229 bus radial test systems are used in order to show the performance of ABC algorithm in solving nonlinear optimization problems. The results show that ABC algorithm can successfully determines optimal place and size of DG-unit.
Keywords
distributed power generation; fuel cell power plants; hydroelectric power stations; nonlinear programming; power generation planning; power generation reliability; solar power stations; wind turbines; 229 bus radial test systems; 33 bus radial test systems; 69 bus radial test systems; artificial bee colony algorithm; distributed generation; electric power networks; fuel cells; honey bee swarms; intelligent foraging behavior; loss reduction; nonlinear optimization problems; optimal placement; power generation reliability; small hydro turbines; solar cells; voltage profile; wind turbines; Distributed power generation; Generators; Optimization; Reactive power; Resource management; Search methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
Conference_Location
Bursa
Print_ISBN
978-605-01-0504-9
Type
conf
DOI
10.1109/ELECO.2013.6713817
Filename
6713817
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