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- W2178903785 abstract "Transient stability constrained optimal power flow (TSCOPF) is a nonlinear optimization problem with both algebraic and differential equations. This paper utilizes the Imperialist Competitive Algorithm (ICA) as an evolutionary optimization algorithm and Artificial Neural Network (ANN) to develop a robust and efficient two stages scheme to solve TSCOPF problem. In the first stage an Artificial Neural Network is constructed to predict the rotor-angle transient stability margin, and is then incorporated in the TSC-OPF as the transient stability estimator. To solve the proposed TSC-OPF problem the ICA is used as the optimizer. The performance of the proposed method is verified over the WSCC three-machine, nine-bus system under different loading conditions and fault scenarios." @default.
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- W2178903785 date "2016-03-01" @default.
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- W2178903785 title "A two stage model for rotor angle transient stability constrained optimal power flow" @default.
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- W2178903785 doi "https://doi.org/10.1016/j.ijepes.2015.07.041" @default.
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