A novel approach to solve transient stability constrained optimal power flow problems

Authors : Huy NGUYENDUC, Linh TRANHOAI, Dieu Vo NGOC

Pages : 4696-4705

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Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This paper proposes an approach to solve the transient stability constraint optimal power flow insert ignore into journalissuearticles values(TSC-OPF); problem. The transient stability constraints are expressed as the critical clearing time insert ignore into journalissuearticles values(CCT); of different contingencies, and are approximated using artificial neural networks insert ignore into journalissuearticles values(ANNs);. The ANNs provide a nonlinear, differentiable mapping between the load flow variables and the CCT. As a result, the TSC-OPF with multiple transient stability constraints can be solved very efficiently with little additional computational burden. The effectiveness of the proposed method is demonstrated with the IEEE 39 bus and the IEEE 300 bus systems.
Keywords : Power system stability, critical clearing time, transient stability constrained optimal power flow, artificial neural networks