Genetic Algorithm Optimization of Generator Reactive Power

被引：5
|
作者：
Katuri, Rayudu [1 ]
Jayalaxmi, A. [2 ]
Yesuratnam, G. [3 ]
Yeddanapalli, Dedeepya [2 ]
机构：
[1] BVRIT, EEE Dept, Narsapur 502313, Medak, India
[2] JNTUH, Coll Engn, EEE Dept, Hyderabad 500085, Andhra Pradesh, India
[3] OU Coll Engn, EEE Dept, Hyderabad 500017, Andhra Pradesh, India
来源：
AASRI CONFERENCE ON POWER AND ENERGY SYSTEMS | 2012年 / 2卷
关键词：
Reactive Power Optimization; Voltage Stability; Genetic Algorithm; Natural Selection; DISPATCH;
D O I：
10.1016/j.aasri.2012.09.034
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Reactive power optimization in the power system tends to maintain good voltage profile by improving the voltage quality other than decreasing the power loss. This paper presents an improved Genetic algorithm (GA) approach for voltage stability enhancement. The proposed technique is based on the minimization of the maximum of L-indices of load buses. Generator voltages, switchable VAR sources and transformer tap changers are used as control variables. A case study is made on all the optimization variables mentioned and the effect on generators reactive power output is analyzed. The comparison of two optimization techniques is explained in detail. The results obtained for the IEEE-24 bus power system had indicated that the GA not only improves the voltage stability but also reduces the effect on generators for the Reactive Power. (C) 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of American Applied Science Research Institute
引用
收藏
页码：192 / 198
页数：7
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