Abstract
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.
Recommended Citation
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 https://doi.org/10.1109/IJCNN.2006.247022
Meeting Name
IEEE International Joint Conference on Neural Network, 2006
Department(s)
Electrical and Computer Engineering
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2006 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2006
