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

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

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

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

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	749-754
Number of pages	6
Journal	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume	2
Publication status	Published - 2003
Event	2003 IEEE Industry Applications Conference; 38th IAS Annual Meeting: Crossroads To Innovation - Salt Lake City, UT, United States Duration: 2003 Oct 12 → 2003 Oct 16

All Science Journal Classification (ASJC) codes

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

Cite this

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title = "Adaptive Critic Design Based Neurocontroller for a STATCOM Connected to a Power System",

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.",

author = "Salman Mohagheghi and Park, {Jung Wook} and Harley, {Ronald G.} and Venayagamoorthy, {Ganesh K.}",

year = "2003",

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note = "2003 IEEE Industry Applications Conference; 38th IAS Annual Meeting: Crossroads To Innovation ; Conference date: 12-10-2003 Through 16-10-2003",

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AU - Mohagheghi, Salman

AU - Park, Jung Wook

AU - Harley, Ronald G.

AU - Venayagamoorthy, Ganesh K.

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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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M3 - Conference article

AN - SCOPUS:0242676831

SN - 0197-2618

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SP - 749

EP - 754

JO - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

JF - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

T2 - 2003 IEEE Industry Applications Conference; 38th IAS Annual Meeting: Crossroads To Innovation

Y2 - 12 October 2003 through 16 October 2003

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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