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.

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.

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