NEURAL-NETWORK-BASED TRANSIENT STABILITY ASSESSMENT OF ELECTRIC-POWER SYSTEMS

被引：3
作者：
MARPAKA, DR
BODRUZZAMAN, M
DEVGAN, SS
AGHILI, SM
KARI, S
机构：
[1] Department of Electrical Engineering, Tennessee State University, Nashville
[2] Department of Electrical Engineering, McNeese State University, Lake Charles
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 1994年 / 30卷 / 03期
关键词：
ARTIFICIAL NEURAL NETWORKS; TRANSIENT STABILITY; CRITICAL CLEARING TIME; SECURITY ASSESSMENT;
D O I：
10.1016/0378-7796(94)00863-9
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：
In this paper a systematic procedure to design an intelligent neurocontroller to assess the dynamic security of interconnected power systems is presented. This approach focuses on the integration of modern control theory together with the adaptive networks to determine critical clearing time for power systems.
引用
收藏
页码：251 / 256
页数：6
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