Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques

Ahmed M A Haidar, Azah Mohamed, Majid Al-Dabbagh, Aini Hussain

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

4 Citations (Scopus)

Abstract

Vulnerability Assessment and control are some of the essential requirements for maintaining security of modern power systems, particularly in competitive energy markets. This paper presents intelligent computational techniques for vulnerability assessment of power systems and recommends preventive control measures. Accurate techniques for vulnerability assessment and control of power systems are developed. In vulnerability assessment, power system loss index is used as a vulnerability parameter, neural network weight extraction is employed as the feature extraction method and the generalized regression neural network is used to predict vulnerability of a power system. As for vulnerability control, load shedding is considered by using the neuro-fuzzy technique. Finally, the paper presents and discusses the results from this research with recommendations.

Original languageEnglish
Title of host publication2008 Australasian Universities Power Engineering Conference, AUPEC 2008
Publication statusPublished - 2008
Event2008 Australasian Universities Power Engineering Conference, AUPEC 2008 - Sydney, NSW
Duration: 14 Dec 200817 Dec 2008

Other

Other2008 Australasian Universities Power Engineering Conference, AUPEC 2008
CitySydney, NSW
Period14/12/0817/12/08

Fingerprint

Electric power system interconnection
Neural networks
Feature extraction

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Haidar, A. M. A., Mohamed, A., Al-Dabbagh, M., & Hussain, A. (2008). Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques. In 2008 Australasian Universities Power Engineering Conference, AUPEC 2008 [4813035]

Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques. / Haidar, Ahmed M A; Mohamed, Azah; Al-Dabbagh, Majid; Hussain, Aini.

2008 Australasian Universities Power Engineering Conference, AUPEC 2008. 2008. 4813035.

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

Haidar, AMA, Mohamed, A, Al-Dabbagh, M & Hussain, A 2008, Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques. in 2008 Australasian Universities Power Engineering Conference, AUPEC 2008., 4813035, 2008 Australasian Universities Power Engineering Conference, AUPEC 2008, Sydney, NSW, 14/12/08.
Haidar AMA, Mohamed A, Al-Dabbagh M, Hussain A. Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques. In 2008 Australasian Universities Power Engineering Conference, AUPEC 2008. 2008. 4813035
Haidar, Ahmed M A ; Mohamed, Azah ; Al-Dabbagh, Majid ; Hussain, Aini. / Vulnerability Assessment and control of large scale interconnected power systems using neural networks and neuro-fuzzy techniques. 2008 Australasian Universities Power Engineering Conference, AUPEC 2008. 2008.
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