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)


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)
Publication statusPublished - 2003 Nov 21
Event2003 IEEE Industry Applications Conference; 38th IAS Annual Meeting: Crossroads To Innovation - Salt Lake City, UT, United States
Duration: 2003 Oct 122003 Oct 16


All Science Journal Classification (ASJC) codes

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

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