Power system stability enhancement using ANN based coordinated emergency control system

被引：3
|
作者：
Etingov, Pavel [1 ]
Oudalov, Alexandre [2 ]
Voropai, Nikolai [1 ]
Cherkaoui, Rachid [3 ]
Germond, Alain [3 ]
机构：
[1] Energy Syst Inst, 130 Lermontov Str, Irkutsk 664033, Russia
[2] ABB Switzerland Ltd, CH-5400 Segelhof, Switzerland
[3] Ecole Polytech Fed Lausanne, CH-1015 Lausanne, Switzerland
来源：
2007 IEEE LAUSANNE POWERTECH, VOLS 1-5 | 2007年
关键词：
emergency control; FACTS; artificial neural network; transient stability;
D O I：
10.1109/PCT.2007.4538322
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：
The paper presents an emergency control system based on the artificial neural network (ANN) technique. The control system is able to find a coordinated control action (load shedding, generator tripping) to prevent the violation of power system stability. Besides, the coordination of FACTS with conventional emergency control actions is studied. A 14 bus test power system is used as a case study. The efficiency of the proposed technique has been proved by numerical simulations tinder different power system operating conditions and for different emergency situations. The results obtained are presented.
引用
收藏
页码：232 / +
页数：2
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