%0 Journal Article %1 kumar2010reactive %A Kumar, S K Nandha %A Renuga, Dr.P %D 2010 %E Das, Dr. Vinu V %J International Journal on Electrical and Power Engineering %K Power_systems artificial_intelligence evolutionary_programming %N 1 %P 5 %T Reactive Power Planning using Real GA Comparison with Evolutionary Programming %U http://doi.searchdl.org/01.IJEPE.1.1.04 %V 1 %X This paper proposes an application of real coded genetic algorithm (RGA) to reactive power planning (RPP). Several techniques have been developed to make RGA practicable to solve a real power system problem and other practical problems. The proposed approach has been used in the IEEE 30-bus system. Simulation results, compared with those obtained by using the evolutionary programming(EP), are presented to show that the present method is better for power system planning. In the case of optimization of non-continuous and non-smooth function, RGA gives much better results than EP. The comprehensive simulation results show a great potential for applications of RGA in power system economical and secure operation, planning and reliability assessment.

@article{kumar2010reactive, abstract = {This paper proposes an application of real coded genetic algorithm (RGA) to reactive power planning (RPP). Several techniques have been developed to make RGA practicable to solve a real power system problem and other practical problems. The proposed approach has been used in the IEEE 30-bus system. Simulation results, compared with those obtained by using the evolutionary programming(EP), are presented to show that the present method is better for power system planning. In the case of optimization of non-continuous and non-smooth function, RGA gives much better results than EP. The comprehensive simulation results show a great potential for applications of RGA in power system economical and secure operation, planning and reliability assessment.}, added-at = {2012-10-01T08:11:02.000+0200}, author = {Kumar, S K Nandha and Renuga, Dr.P}, biburl = {https://www.bibsonomy.org/bibtex/2afa869014b20c684a5075859f8f91960/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {6103981166747b5c819afc2133519f8a}, intrahash = {afa869014b20c684a5075859f8f91960}, journal = {International Journal on Electrical and Power Engineering}, keywords = {Power_systems artificial_intelligence evolutionary_programming}, month = {January}, number = 1, pages = 5, timestamp = {2012-10-01T08:11:02.000+0200}, title = {Reactive Power Planning using Real GA Comparison with Evolutionary Programming}, url = {http://doi.searchdl.org/01.IJEPE.1.1.04}, volume = 1, year = 2010 }