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Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO

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3 Author(s)
T. K. Das ; Student Member, IEEE, Real-Time Power and Intelligent System Laboratory, Department of Electrical and Computer Engineering, University of Missouri Rolla, USA. email: tkd7vc@umr.edu ; S. R. Jetti ; G. K. Venayagamoorthy

Static var compensator (SVC) are employed for providing better voltage regulation and transient stability especially for increased power transfer through the transmission lines. In this paper, two SVC damping controllers with single and dual inputs respectively are designed based on wide area measurements of generator speed deviations. A small population based particle swarm optimization algorithm (SPPSO) is applied to determine the optimal parameters of the damping controllers for small and large disturbances. Simulation results are provided to show that the effectiveness of the optimal damping controllers on the Kundur's two-area benchmark power system. Results show the dual input controller further improves the damping provided by the single input controller.

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The 2006 IEEE International Joint Conference on Neural Network Proceedings

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