International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 86 - Issue 16 |
Published: January 2014 |
Authors: D. Godwin Immanuel, G. Selva Kumar, C. Christober Asir |
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D. Godwin Immanuel, G. Selva Kumar, C. Christober Asir . A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement. International Journal of Computer Applications. 86, 16 (January 2014), 29-32. DOI=10.5120/15073-3513
@article{ 10.5120/15073-3513, author = { D. Godwin Immanuel,G. Selva Kumar,C. Christober Asir }, title = { A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 86 }, number = { 16 }, pages = { 29-32 }, doi = { 10.5120/15073-3513 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A D. Godwin Immanuel %A G. Selva Kumar %A C. Christober Asir %T A Hybrid Genetic Algorithm based on Differential Evolution Approach for Voltage Stability Improvement%T %J International Journal of Computer Applications %V 86 %N 16 %P 29-32 %R 10.5120/15073-3513 %I Foundation of Computer Science (FCS), NY, USA
Voltage stability plays a vital role in operation and control of power system. In this paper an optimal reactive power and voltage control based on hybrid Genetic Algorithm assisted Differential Evolution algorithm for voltage stability improvement is proposed. In this approach the voltage stability index is formulated to identify the most vulnerable bus at stressed conditions. The bus with the value of maximum VSI is considered as the most critical bus. To maintain the stability of the system the severity of the load buses has to be minimized. This can be achieved by the optimal settings of control variables. The effectiveness of the proposed approach has been examined on the standard IEEE 30 bus test system.