DocumentCode :
562830
Title :
Optimal distributed generation allocation in distribution systems employing modified artificial bee colony algorithm to reduce losses and improve voltage profile
Author :
Hussain, Israfil ; Roy, Anjan Kumar
Author_Institution :
Electr. Eng. Dept., R. Group of Instn. (RGI), Guwahati, India
fYear :
2012
fDate :
30-31 March 2012
Firstpage :
565
Lastpage :
570
Abstract :
One of the modern and important techniques in electrical distribution systems is to solve the networks problem of service availability, high loss and low voltage stability by accommodating small scaled de-centralized generating units in these networks, which is known as distributed generation (DG).This paper presents a new methodology using a new population based meta heuristic approach namely Modified Artificial Bee Colony algorithm (ABC) for the placement of Distributed Generators (DG) in the radial distribution systems to reduce the real power losses and to improves supply quality and reliability, reduces green house effects, improves voltage profile in radial distribution system, reduces line loss and environment impact. The modification is in the neighbouring search of the artificial bee colony (ABC) algorithm. The suggested method is programmed under MATLAB software and is tested on IEEE 33-bus test system and the results are presented. The method is found to be effective and applicable for practical network.
Keywords :
ant colony optimisation; distributed power generation; losses; power supply quality; stability; ABC; DG; IEEE 33-bus test system; Matlab algorithm; loss reduction; low voltage stability; modified artificial bee colony algorithm; optimal distributed generation allocation; radial distribution system; service availability; small scaled decentralized generating units; supply quality improvement; voltage profile improvement; Convergence; Heuristic algorithms; Reliability; Artificial Bee Colony Algorithm; Distributed Generation; Power Loss Reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
Conference_Location :
Nagapattinam, Tamil Nadu
Print_ISBN :
978-1-4673-0213-5
Type :
conf
Filename :
6216063
Link To Document :
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