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Transient Stability Assessment of a Power System by Mixture of Experts

Author(s): Reza Ebrahimpour, Easa Kazemi Abharian, Seid Zeinalabedin Moussavi, Ali Akbar Motie Birjandi

Journal: International Journal of Engineering
ISSN 1985-2312

Volume: 4;
Issue: 1;
Start page: 93;
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Keywords: Transient Stability Assessment | Committee Neural Networks | Mixture of the Experts | Time domain simulation method.

Recent blackouts in different countries have illustrated the very importance andvital need of more frequent and thorough power system stability. Thereforetransient stability investigation on power system have became in focus of manyresearchers in the field. We have tried to introduce a new model for transientstability prediction of a power system to add a contribution to the subject. For thisreason we applied so called, Committee Neural Networks (CNNs) methods astools for Transient Stability Assessment (TSA) of power system. We use the“Mixture of Experts” (ME) in which, the problem space is divided into severalsubspaces for the experts, and then the outputs of experts are combined by agating 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 ontransmission lines. Simulations were carried out on the IEEE 9-bus and IEEE 14-bus tests systems considering three phase faults on the systems. The datacollected from the time domain simulations are then used as inputs to the ME inwhich is used as a classifier to determine whether the power systems are stableor unstable.
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