DocumentCode :
117778
Title :
An Invasive Weed Optimization for loss reduction in distribution systems
Author :
Rani, D.S. ; Subrahmanyam, N. ; Sydulu, M.
Author_Institution :
Electr. Eng. Dept., Nat. Inst. of Technol. Warangal, Warangal, India
fYear :
2014
fDate :
6-8 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a new meta-heuristic solution approach for loss reduction in radial distribution systems through feeder reconfiguration and placement of distributed generation is presented. The proposed algorithm makes use of Mehrabian & Lucas´s heuristic `Invasive Weed Optimization´ (IWO) in generating optimal solutions. Forward/Backward sweep power flow method is used to solve the radial distribution system. The proposed approach is tested on standard IEEE 33-bus and 69-bus system. The results obtained from the study have shown that the proposed algorithm can be used as a new alternative solution technique for finding optimal operation of distribution system.
Keywords :
IEEE standards; distributed power generation; distribution networks; load flow; IEEE 33-bus system; IEEE 69-bus system; distributed generation; distribution systems; forward/backward sweep power flow; invasive weed optimization; loss reduction; meta-heuristic solution; Algorithm design and analysis; Convergence; Distributed power generation; Genetic algorithms; Linear programming; Optimization; Reactive power; invasive weed optimization; loss reduction; reconfiguration and distributed generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on
Conference_Location :
Coimbatore
Type :
conf
DOI :
10.1109/ICGCCEE.2014.6922311
Filename :
6922311
Link To Document :
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