Artificial neural network to power system voltage stability improvement

被引:7
作者
Bansilal [1 ]
Thukaram, D [1 ]
Kashyap, KH [1 ]
机构
[1] Natl Inst Engn, Dept EEE, Mysore 570008, Karnataka, India
来源
IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4 | 2003年
关键词
D O I
10.1109/TENCON.2003.1273214
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As power systems grow in their size and interconnections, their complexity increases. Rising costs due to inflation and increased environmental concerns has made transmission, as well as generation systems to be operated closer to design limits. Hence Power System Voltage Stability and Voltage Control are emerging as major problems in the day-to-day operation of stressed power systems. For secure operation and control of power systems under normal and contingency conditions it is essential to provide solutions in real time to the operator in Energy Control Center (ECC). Artificial Neural Networks (ANN) are emerging as an Artificial Intelligence tool, which give fast, though approximate, but acceptable solutions in real time as the mostly use parallel processing technique for computation. The solutions thus obtained can be used as a guide by the operator in ECC for power system control. This paper deals with development of ANN architecture, which provide solutions for monitoring, and control of voltage stability in the day-to-day operation of power systems.
引用
收藏
页码:53 / 57
页数:5
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