Wavelet-based adaptive nonlinear power system excitation control

Hassan Yousef, M. Al-Badi, Hisham M. Soliman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a new adaptive excitation control for power system based on wavelet network. An application of wavelet networks to nonlinear excitation control of a power system is presented in this manuscript. A wavelet network is constructed as an alternative to a neural network to approximate a nonlinear system. Based on this wavelet network approximation, suitable adaptive control and appropriate parameter update algorithm are developed to force the nonlinear unknown power system to track a prescribed trajectory with desired dynamic performance. It is shown that the effects of approximation errors can be attenuated to a specific attenuation level using the proposed adaptive wavelet network control scheme. A single machine infinite bus system with uncertain fault location is presented to illustrate the proposed design procedure and exhibit its performance.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-265
Number of pages6
ISBN (Print)9781479923991
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014 - Istanbul, Turkey
Duration: Jun 1 2014Jun 4 2014

Publication series

NameIEEE International Symposium on Industrial Electronics

Other

Other2014 IEEE 23rd International Symposium on Industrial Electronics, ISIE 2014
Country/TerritoryTurkey
CityIstanbul
Period6/1/146/4/14

Keywords

  • Adaptive control
  • Nonlinear excitation control
  • Wavelet network

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Wavelet-based adaptive nonlinear power system excitation control'. Together they form a unique fingerprint.

Cite this