Reactive Power Optimization Using Repeated Genetic Algorithm and Data Prediction

被引：0
|
作者：
Jayatheertha, H. J. [1 ]
Yadagiri, J. [2 ]
机构：
[1] GITAM Univ, Inst Technol, Dept EEE, Hyderabad Campus, Visakhapatnam 502329, Andhra Pradesh, India
[2] Hasvita Inst Engn & Technol, Dept EEE, Keesara 501301, India
来源：
2013 15TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING TECHNOLOGIES (ICACT) | 2013年
关键词：
Reactive power optimization; repeated genetic algorithm; data prediction; SYSTEM;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper gives 3000 solutions for reactive power optimization using repeated genetic algorithm. The objective function is minimization of voltage deviations at load buses and the control actions are changes in generator excitations, capacitor switching and tap changing transformers. IEEE30 bus system is the test data and simulated on MATLAB. New data prediction algorithm is given.
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页数：4
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