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.
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
2nd International Conference on (Conf. Publ. No. 498) Power Electronics, Machines and Drives, 2004. (PEMD 2004)
Electrical and Computer Engineering
Keywords and Phrases
Takagi-Sugeno Fuzzy Logic Controller; Indirect Adaptive Control; Neurocontrol; Power System; Static Compensator
Article - Conference proceedings
© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Mar 2004