DocumentCode :
1833155
Title :
Maximization of annual savings by using fuzzy-Second order PSO based optimal capacitor placement in RDF for constant load
Author :
Prasanna, M. Y Balaji ; Balaji, T. R Nitish ; Kannan, S.M.
Author_Institution :
Dept. of Electr. & Electron. Eng., Anna Univ., Madurai, India
fYear :
2012
fDate :
1-2 March 2012
Firstpage :
1
Lastpage :
4
Abstract :
A new method of Second order PSO for a more effective capacitor sizing in radial distribution feeders to reduce the real power loss and to improve the voltage profile is proposed. The location of the nodes where the capacitors should be placed is decided by a set of rules given by the fuzzy expert system and the sizing of the capacitors is modeled by the objective function to obtain maximum savings using Particle Swarm Optimization (PSO). The newer upgrade to PSO enables the problem to use the knowledge of past solutions into present sizing and hence a second level of optimization procedure to provide better results. A case study with an existing 15-bus radial distribution feeder is presented to illustrate the applicability of the newer algorithm.
Keywords :
capacitors; expert systems; fuzzy systems; particle swarm optimisation; power distribution; 15-bus radial distribution feeder; RDF; capacitors; constant load; fuzzy-second order PSO based optimal capacitor placement; particle swarm optimization; power loss; Capacitors; Load flow; Newton method; Optimization; Particle swarm optimization; Reactive power; Resource management; Fuzzy expert system (FES); Radial distribution feeders (RDF); Second Order Particle swarm optimization (SOPSO);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4673-1516-6
Type :
conf
DOI :
10.1109/SCEECS.2012.6184774
Filename :
6184774
Link To Document :
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