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Transient Stability Assessment of a Power System by Mixture of Experts
Reza Ebrahimpour, Easa Kazemi Abharian, Seid Zeinalabedin Moussavi, Ali Akbar Motie Birjandi
Pages - 93 - 104     |    Revised - 25-02-2010     |    Published - 08-04-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
Transient Stability Assessment, Time domain simulation method, Committee Neural Networks
Recent blackouts in different countries have illustrated the very importance and vital need of more frequent and thorough power system stability. Therefore transient stability investigation on power system have became in focus of many researchers in the field. We have tried to introduce a new model for transient stability prediction of a power system to add a contribution to the subject. For this reason we applied so called, Committee Neural Networks (CNNs) methods as tools for Transient Stability Assessment (TSA) of power system. We use the “Mixture of Experts” (ME) in which, the problem space is divided into several subspaces for the experts, and then the outputs of experts are combined by a gating network to form the final output. In this paper Mixture of the Experts (ME) is used to assess the transient stability of power system after faults occur on transmission lines. Simulations were carried out on the IEEE 9-bus and IEEE 14-bus tests systems considering three phase faults on the systems. The data collected from the time domain simulations are then used as inputs to the ME in which is used as a classifier to determine whether the power systems are stable or unstable.
CITED BY (10)  
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Dr. Reza Ebrahimpour
Shahid Rajaee University - Iran
Mr. Easa Kazemi Abharian
- Iran
Dr. Seid Zeinalabedin Moussavi
- Iran
Dr. Ali Akbar Motie Birjandi
- Afghanistan