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

Research output: Contribution to conferencePaperpeer-review

12 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 languageEnglish
Pages2964-2969
Number of pages6
Publication statusPublished - 2003
EventInternational Joint Conference on Neural Networks 2003 - Portland, OR, United States
Duration: 2003 Jul 202003 Jul 24

Other

OtherInternational Joint Conference on Neural Networks 2003
CountryUnited States
CityPortland, OR
Period03/7/2003/7/24

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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