International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 27 - Issue 11 |
Published: August 2011 |
Authors: Rambabu Ch, Dr.Y.P.Obulesh, Dr.Ch.Saibabu |
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Rambabu Ch, Dr.Y.P.Obulesh, Dr.Ch.Saibabu . Multi-Objective Optimization using Evolutionary Computation Techniques. International Journal of Computer Applications. 27, 11 (August 2011), 19-25. DOI=10.5120/3345-4609
@article{ 10.5120/3345-4609, author = { Rambabu Ch,Dr.Y.P.Obulesh,Dr.Ch.Saibabu }, title = { Multi-Objective Optimization using Evolutionary Computation Techniques }, journal = { International Journal of Computer Applications }, year = { 2011 }, volume = { 27 }, number = { 11 }, pages = { 19-25 }, doi = { 10.5120/3345-4609 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2011 %A Rambabu Ch %A Dr.Y.P.Obulesh %A Dr.Ch.Saibabu %T Multi-Objective Optimization using Evolutionary Computation Techniques%T %J International Journal of Computer Applications %V 27 %N 11 %P 19-25 %R 10.5120/3345-4609 %I Foundation of Computer Science (FCS), NY, USA
In this paper an EP and PSO based optimization algorithms have been proposed for solving optimal power flow problems with multiple objective functions. These algorithms take into consideration all the equality and inequality constraints. The improvement in system performance is based on reduction in cost of power generation and active power loss. The proposed algorithms have been compared with the other methods reported in the literature. Simulation studies have been carried out for the optimal solutions of the IEEE 14-bus and IEEE 30-bus systems.