Abstract
A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system using artificial neural networks is presented in this paper. The heuristic dynamic programming (HDP), a member of the adaptive critic designs (ACDs) family, is used for the design of the STATCOM neurocontroller. This neurocontroller provides nonlinear optimal control with better performance compared to the conventional PI controllers.
Recommended Citation
S. Mohagheghi et al., "Adaptive Critic Design Based Neurocontroller for a STATCOM Connected to a Power System," Conference Record of the 38th IAS Annual Meeting of the Industry Applications Conference, 2003, Institute of Electrical and Electronics Engineers (IEEE), Jan 2003.
The definitive version is available at https://doi.org/10.1109/IAS.2003.1257606
Meeting Name
38th IAS Annual Meeting of the Industry Applications Conference, 2003
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
STATCOM; Adaptive Critic Design Based Neurocontroller; Artificial Neural Networks; Dynamic Programming; Heuristic Dynamic Programming; Learning (Artificial Intelligence); Neurocontroller Training; Neurocontrollers; Nonlinear Control Systems; Nonlinear Optimal Control; Nonlinear Optimal Neurocontroller; Optimal Control; Power Engineering Computing; Power System; Power System Control; Single Machine Infinite Bus System; Static VAr Compensators; Static Compensator
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2003 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2003
