Load characteristics identification using artificial neural network and transient stability analysis

被引：0
|
作者：
Kim, TE [1 ]
Ji, PS [1 ]
Lee, JP [1 ]
Nam, SC [1 ]
Kim, JH [1 ]
Lim, JY [1 ]
机构：
[1] Chungbuk Natl Univ, Dept Elect Engn, Cheongju 361763, South Korea
来源：
PROCEEDINGS OF EMPD '98 - 1998 INTERNATIONAL CONFERENCE ON ENERGY MANAGEMENT AND POWER DELIVERY, VOLS 1 AND 2 AND SUPPLEMENT | 1998年
关键词：
D O I：
暂无
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：
The modeling of load characteristics is a difficult problem because of uncertainty of load. This research uses artificial neural networks which can approximate nonlinear problem to represent load characteristics. After the selection of typical load, active and reactive power for the variation of voltage and frequency is obtained from experiments. On the basis of obtained data, load model represented by neural network is acquired Then the propriety is submitted by case studies.
引用
收藏
页码：329 / 334
页数：6
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