Artificial neural networks as static equivalent networks

被引：1
|
作者：
Müller, V [1 ]
Nelles, D [1 ]
机构：
[1] Univ Kaiserslautern, Inst Elect Power Supply, D-67563 Kaiserslautern, Germany
来源：
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION | 2005年 / 152卷 / 01期
关键词：
D O I：
10.1049/ip-gtd:20040827
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：
To calculate the load flow in energy supply systems, the influence of all external networks that are connected to the internal network has to be considered. Normally, an exact consideration is not practicable because no exact data of the external network, such as the actual switching status or the actual load and generation situation, are known. It is therefore common practice to reduce the external networks to equivalent networks. These equivalents are able to reproduce the influence of the external network approximately.
引用
收藏
页码：61 / 66
页数：6
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