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Neural network control for damping of multi-mode oscillations in a power system

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1 Author(s)

A neural network-based control scheme, in conjunction with a coherency recognition technique, is proposed for enhancing the damping characteristics of multi-machine power systems. From the simulation results obtained, it is shown that the proposed control scheme is suitable for damping multi-mode oscillations in a 10-machine power system and performs better than a conventional control scheme

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TENCON 2001. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology  (Volume:2 )

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