Abstract
Two intelligent controllers are designed for a static compensator (STATCOM) connected to a single machine infinite bus power system (SMIB): a novel nonlinear adaptive controller using artificial neural networks based on the indirect adaptive control technique and a Takagi-Sugeno type fuzzy controller. Both schemes provide nonlinear adaptive control with better performance compared to the conventional PI controllers. Simulation results are presented to compare the performances of these controllers with that of the conventional PI controllers.
Recommended Citation
S. Mohagheghi et al., "Intelligent Control Schemes for a Static Compensator Connected to a Power Network," Proceedings of the 2nd International Conference on (Conf. Publ. No. 498) Power Electronics, Machines and Drives, 2004. (PEMD 2004), Institute of Electrical and Electronics Engineers (IEEE), Mar 2004.
The definitive version is available at https://doi.org/10.1049/cp:20040355
Meeting Name
2nd International Conference on (Conf. Publ. No. 498) Power Electronics, Machines and Drives, 2004. (PEMD 2004)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Takagi-Sugeno Fuzzy Logic Controller; Indirect Adaptive Control; Neurocontrol; Power System; Static Compensator
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Mar 2004
