Computational intelligence application to malaysian practical power system

Ahmed M A Haidar, Azah Mohamed, Ramdan Razali, Kamarul Hawari, Norazila Jaalam

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

Abstract

A fast and accurate technique for 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 Malaysia practical power system 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 publicationProceedings of the IASTED International Conference on Modelling and Simulation
Pages352-358
Number of pages7
Publication statusPublished - 2009
Event20th IASTED International Conference on Modelling and Simulation, MS 2009 - Banff, AB
Duration: 6 Jul 20098 Jul 2009

Other

Other20th IASTED International Conference on Modelling and Simulation, MS 2009
CityBanff, AB
Period6/7/098/7/09

Fingerprint

Computational Intelligence
Vulnerability
Power System
Artificial intelligence
Neural networks
Feature extraction
Neural Networks
Malaysia
Neuro-fuzzy
Computational Techniques
Feature Extraction
Recommendations
Regression
Predict
Requirements
Energy

Keywords

  • Load shedding
  • Neural network
  • Neuro-fuzzy
  • Vulnerability control

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Modelling and Simulation

Cite this

Haidar, A. M. A., Mohamed, A., Razali, R., Hawari, K., & Jaalam, N. (2009). Computational intelligence application to malaysian practical power system. In Proceedings of the IASTED International Conference on Modelling and Simulation (pp. 352-358)

Computational intelligence application to malaysian practical power system. / Haidar, Ahmed M A; Mohamed, Azah; Razali, Ramdan; Hawari, Kamarul; Jaalam, Norazila.

Proceedings of the IASTED International Conference on Modelling and Simulation. 2009. p. 352-358.

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

Haidar, AMA, Mohamed, A, Razali, R, Hawari, K & Jaalam, N 2009, Computational intelligence application to malaysian practical power system. in Proceedings of the IASTED International Conference on Modelling and Simulation. pp. 352-358, 20th IASTED International Conference on Modelling and Simulation, MS 2009, Banff, AB, 6/7/09.
Haidar AMA, Mohamed A, Razali R, Hawari K, Jaalam N. Computational intelligence application to malaysian practical power system. In Proceedings of the IASTED International Conference on Modelling and Simulation. 2009. p. 352-358
Haidar, Ahmed M A ; Mohamed, Azah ; Razali, Ramdan ; Hawari, Kamarul ; Jaalam, Norazila. / Computational intelligence application to malaysian practical power system. Proceedings of the IASTED International Conference on Modelling and Simulation. 2009. pp. 352-358
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