Application of Neural Networks in Power Systems; A Review

被引：0
作者：
Haque, M. Tarafdar [1 ]
Kashtiban, A. M. [1 ]
机构：
[1] Tabriz Univ, Dept Elect & Comp Engn, Tabriz, Iran
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 6 | 2005年
关键词：
Neural network; power system; security assessment; fault diagnosis; load forecasting; economic dispatch; harmonic analyzing;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The electric power industry is currently undergoing an unprecedented reform. One of the most exciting and potentially profitable recent developments is increasing usage of artificial intelligence techniques. The intention of this paper is to give an overview of using neural network (NN) techniques in power systems. According to the growth rate of NNs application in some power system subjects, this paper introduce a brief overview in fault diagnosis, security assessment, load forecasting, economic dispatch and harmonic analyzing. Advantages and disadvantages of using NNs in above mentioned subjects and the main challenges in these fields have been explained, too.
引用
收藏
页码：53 / 57
页数：5
相关论文
共 31 条
[11]  
HIPPERT HS, 2004, IEEE T DISTR GEN C J, P543
[12]   Long-term load forecasting for fast developing utility using a knowledge-based expert system [J].
Kandil, MS ;
El-Debeiky, SM ;
Hasanien, NE .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (02) :491-496
[13]  
KUMARAPPAN N, 2002, ANN APPR COMB EC EM, P323
[14]  
LAI LL, 2000, FAULT LOCATION TEED, P505
[15]  
LUKOMSKI R, 2003, POWER SYSTEM TOPOLOG, P180
[16]  
MOMOH JA, 1995, OVERVIEW LIT SURVEY, P1676
[17]  
MORENO J, 2000, NEURAL NETWORK BASED, P277
[18]  
NGUYEN TT, 1995, IEEE T DISTR GEN TRA, P51
[19]  
PARK JP, 2004, COMPARISON MLP RBF N, P919
[20]  
Rolim G., 2003, IEEE POWERTECH C JUN, P312
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