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.
G. K. Venayagamoorthy et al., "Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population Based PSO," Proceedings of the IEEE International Joint Conference on Neural Network, 2006, Institute of Electrical and Electronics Engineers (IEEE), Jan 2006.
The definitive version is available at http://dx.doi.org/10.1109/IJCNN.2006.247022
IEEE International Joint Conference on Neural Network, 2006
Electrical and Computer Engineering
Article - Conference proceedings
© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.