Multi objective comparison of GA and LP techniques for generator reactive power optimization

Optimization of Generator output tends to increase the supply capability of generators at different voltage disturbances. The Genetic Algorithm (GA) approach is used in this paper to optimize the effect on the generator reactive power. The three control parameters used are: Generator voltages, Switchable VAR Compensators (SVC) and On Load Transformer tap Changers (OLTC). The proposed technique is tested with IEEE-24 bus system. A case study is done on all optimization variables (control parameters) and effect on generator reactive power output is analyzed. The results are compared with conventional Linear Programming (LP) Technique. The comparison clearly says GA approach performs better in optimization of generator VAR output requirement and also increases voltage stability by loss reduction.