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

Author

Rayudu, K. ; Jayalaxmi, A. ; Yesuratnam, G. ; Kumar, Y. Dileep

Author_Institution

Electr. & Electron. Eng. Dept., Padmasri B V Raju Inst. of Technol., Medak, India

fYear

2012

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

IEEE standards; genetic algorithms; linear programming; on load tap changers; reactive power; static VAr compensators; GA technique; IEEE- 24 bus system; LP technique; OLTC; SVC; generator reactive power optimization; linear programming technique; loss reduction; multi objective comparison; on load transformer tap changers; switchable VAr compensator; voltage stability; Generators; Genetic algorithms; Linear programming; Optimization; Power system stability; Reactive power; Stability analysis; Generator Reactive power; Genetic algorithm; Natural selection; Optimization; Power loss; Voltage stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power India Conference, 2012 IEEE Fifth

Conference_Location

Murthal

Print_ISBN

978-1-4673-0763-5

Type

conf

DOI

10.1109/PowerI.2012.6479585

Filename

6479585