%0 Journal Article %1 pkroy2010biogeography %A P K Roy, S P Ghoshal %A Thakur, S S %D 2010 %E Das, Dr. Vinu V %J International Journal on Electrical and Power Engineering %K Biogeography Evolutionary_Programming Genetic_Algorithm Migration Mutation %N 3 %P 6 %T Biogeography Based Optimization Approach for Optimal Power Flow Problem Considering Valve Loading Effects %U http://doi.searchdl.org/01.IJEPE.1.3.127 %V 1 %X This paper presents a novel Biogeography Based Optimization (BBO) algorithm for solving multi-objective constrained optimal power flow problems in power system. In this paper, the feasibility of the proposed algorithm is demonstrated for IEEE 30-bus system with three different objective functions and it is compared to other well established population based optimization techniques. A comparison of simulation results reveals better solution quality and computation efficiency of the proposed algorithm over particle swarm optimization (PSO), Real Coded Genetic algorithm (RGA) for the global optimization of multiobjective constrained OPF problems.

@article{pkroy2010biogeography, abstract = {This paper presents a novel Biogeography Based Optimization (BBO) algorithm for solving multi-objective constrained optimal power flow problems in power system. In this paper, the feasibility of the proposed algorithm is demonstrated for IEEE 30-bus system with three different objective functions and it is compared to other well established population based optimization techniques. A comparison of simulation results reveals better solution quality and computation efficiency of the proposed algorithm over particle swarm optimization (PSO), Real Coded Genetic algorithm (RGA) for the global optimization of multiobjective constrained OPF problems.}, added-at = {2012-10-01T09:11:31.000+0200}, author = {P K Roy, S P Ghoshal and Thakur, S S}, biburl = {https://www.bibsonomy.org/bibtex/20d77a06ea9e6b48075a0eb1ebddcca8a/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {4a034e0a373c829f0a9f057ded21cb04}, intrahash = {0d77a06ea9e6b48075a0eb1ebddcca8a}, journal = {International Journal on Electrical and Power Engineering}, keywords = {Biogeography Evolutionary_Programming Genetic_Algorithm Migration Mutation}, month = {December}, number = 3, pages = 6, timestamp = {2012-10-01T09:11:32.000+0200}, title = {Biogeography Based Optimization Approach for Optimal Power Flow Problem Considering Valve Loading Effects}, url = {http://doi.searchdl.org/01.IJEPE.1.3.127}, volume = 1, year = 2010 }