M.R. Haghifam, H. Falagi, H. Haroonabadi, J. Sahragard, and S.R. Razavi (Iran)
Power system security, Contingency ranking, Neural network
Power system security is assessed in three stages: contingencies prediction, contingencies ranking and severe contingencies evaluation. The most important in these is contingency ranking. In this stage contingencies are ranked based on their severities. In on-line control only the most severe contingencies are investigated. For contingency ranking many methods are presented in two categories: direct and in-direct methods. This paper presents an effective non-direct contingency ranking method based on neural network. The approach has been tested and evaluated on IEEE Reliability Test System (IEEE-RTS) with satisfactory results.
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