Artificial neural network approach - an application to radial loadflow algorithm

被引：1
|
作者：
Arunagiri, A. [1 ]
Venkatesh, B.
Ramasamy, K.
机构：
[1] Multimedia Univ, Fac Engn, Cyberjaya 63100, Selangor, Malaysia
[2] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB E3B 5A3, Canada
来源：
IEICE ELECTRONICS EXPRESS | 2006年 / 3卷 / 14期
关键词：
radial distribution system; artificial neural network; bus voltages;
D O I：
10.1587/elex.3.353
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A special load flow method is required to solve power balance equations of Radial Distribution Systems (RDS) owing to high R/X ratio of their lines. This paper reports an application of Artificial Neural Networks (ANNs) to determine bus voltages of a radial distribution system for any given load without executing the load flow algorithm. A multi-layer feed forward ANN with error back propagation learning algorithm is proposed for calculation of bus voltages and its angles. Extensive testing of the proposed ANN based approach indicates its viability for radial system load flow assessment. Test results are presented for a sample 33-bus system.
引用
收藏
页码：353 / 360
页数：8
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