An Adaptive Neural Network Identifier for Effective Control of a Static Compensator Connected to a Power System

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

An Adaptive Neural Network Identifier for Effective Control of a Static Compensator Connected to a Power System

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

Department of Electrical and Electronic Engineering

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

A novel method for nonlinear identification of a static compensator connected to a power system using continually online trained artificial neural networks is presented. The identifier is successfully trained online to track the dynamics of the power network without any need for offline data. It can be used for designing an adaptive neurocontroller for a static compensator connected to such a system.

Original language	English
Pages	2964-2969
Number of pages	6
Publication status	Published - 2003
Event	International Joint Conference on Neural Networks 2003 - Portland, OR, United States Duration: 2003 Jul 20 → 2003 Jul 24

Other

Other	International Joint Conference on Neural Networks 2003
Country/Territory	United States
City	Portland, OR
Period	03/7/20 → 03/7/24

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence

Cite this

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title = "An Adaptive Neural Network Identifier for Effective Control of a Static Compensator Connected to a Power System",

abstract = "A novel method for nonlinear identification of a static compensator connected to a power system using continually online trained artificial neural networks is presented. The identifier is successfully trained online to track the dynamics of the power network without any need for offline data. It can be used for designing an adaptive neurocontroller for a static compensator connected to such a system.",

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

year = "2003",

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pages = "2964--2969",

note = "International Joint Conference on Neural Networks 2003 ; Conference date: 20-07-2003 Through 24-07-2003",

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T1 - An Adaptive Neural Network Identifier for Effective Control of a Static Compensator Connected to a Power System

AU - Mohagheghi, Salman

AU - Park, Jung Wook

AU - Harley, Ronald G.

AU - Venayagamoorthy, Ganesh K.

AU - Crow, Mariesa L.

PY - 2003

Y1 - 2003

N2 - A novel method for nonlinear identification of a static compensator connected to a power system using continually online trained artificial neural networks is presented. The identifier is successfully trained online to track the dynamics of the power network without any need for offline data. It can be used for designing an adaptive neurocontroller for a static compensator connected to such a system.

AB - A novel method for nonlinear identification of a static compensator connected to a power system using continually online trained artificial neural networks is presented. The identifier is successfully trained online to track the dynamics of the power network without any need for offline data. It can be used for designing an adaptive neurocontroller for a static compensator connected to such a system.

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UR - http://www.scopus.com/inward/citedby.url?scp=0141703600&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0141703600

SP - 2964

EP - 2969

T2 - International Joint Conference on Neural Networks 2003

Y2 - 20 July 2003 through 24 July 2003

ER -

An Adaptive Neural Network Identifier for Effective Control of a Static Compensator Connected to a Power System

Abstract

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All Science Journal Classification (ASJC) codes

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