Abstract
This paper presents the optimal tuning of power system stabilizer parameters using a newly introduced evolutionary algorithm called Population based Incremental Learning (PBIL). to robustly stabilize the system, an objective function that minimizes the infinity norm of the closed-loop system is introduced such that the parameters of a fixed structure PSS are optimally tuned, and the controller stabilizes a pre-specified set of system models. the PBIL-PSS is compared with the Conventional PSS (CPSS). the simulation results presented in this paper show that the proposed PBIL-PSS is more effective than the Conventional PSS in damping the low frequency oscillations. the performance of the proposed PSS is also evaluated using the Real Time Digital Simulator (RTDS). the experimental results obtained from the RTDS confirm the proposed controller is robust for under small disturbance. © 2009 IEEE.
Recommended Citation
K. A. Folly and G. K. Venayagamoorthy, "A Real-time Implementation of a PBIL based Stabilizing Controller for Synchronous Generator," Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), article no. 5324806, Institute of Electrical and Electronics Engineers, Dec 2009.
The definitive version is available at https://doi.org/10.1109/IAS.2009.5324806
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Hinfinity optimal control; Low-frequency oscillations; PBIL; PSS; Robust stability
International Standard Book Number (ISBN)
978-142443476-3
International Standard Serial Number (ISSN)
0197-2618
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2009
