Adaptive Critic Design Based Neurocontroller for a STATCOM Connected to a Power System

Salman Mohagheghi, Jung Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy

Research output: Contribution to journalConference article

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)749-754
Number of pages6
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume2
Publication statusPublished - 2003 Nov 21

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Dynamic programming
Neural networks
Controllers

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

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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.",
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Adaptive Critic Design Based Neurocontroller for a STATCOM Connected to a Power System. / Mohagheghi, Salman; Park, Jung Wook; Harley, Ronald G.; Venayagamoorthy, Ganesh K.

In: Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), Vol. 2, 21.11.2003, p. 749-754.

Research output: Contribution to journalConference article

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AU - Venayagamoorthy, Ganesh K.

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