Risk-based voltage collapse assessment using generalized regression neural network

Marayati Marsadek, Azah Mohamed, Zulkifli Mohd Nopiah

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

Abstract

This paper describes the implementation of a fast and accurate intelligent technique using generalized regression neural network to assess the risk of voltage collapse in power systems. The risk of voltage collapse is defined as the product of the probability of transmission line outage and its severity associated with voltage collapse. The effect of weather in the probability of transmission line outage is taken into account in which the failure rate of each transmission line with respect to weather conditions is calculated. A new severity function model that utilises the voltage collapse prediction index is also considered in this assessment method. The performance of the generalised regression neural network is evaluated using mean absolute and mean square errors. The proposed risk based voltage collapse assessment method has been validated on a real power system.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung, Indonesia
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CountryIndonesia
CityBandung
Period17/07/1119/07/11

Fingerprint

Neural networks
Electric potential
Electric lines
Outages
Mean square error

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Marsadek, M., Mohamed, A., & Nopiah, Z. M. (2011). Risk-based voltage collapse assessment using generalized regression neural network. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021767] https://doi.org/10.1109/ICEEI.2011.6021767
Marsadek, Marayati ; Mohamed, Azah ; Nopiah, Zulkifli Mohd. / Risk-based voltage collapse assessment using generalized regression neural network. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
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Marsadek, M, Mohamed, A & Nopiah, ZM 2011, Risk-based voltage collapse assessment using generalized regression neural network. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021767, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, Indonesia, 17/07/11. https://doi.org/10.1109/ICEEI.2011.6021767

Risk-based voltage collapse assessment using generalized regression neural network. / Marsadek, Marayati; Mohamed, Azah; Nopiah, Zulkifli Mohd.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021767.

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

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Marsadek M, Mohamed A, Nopiah ZM. Risk-based voltage collapse assessment using generalized regression neural network. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021767 https://doi.org/10.1109/ICEEI.2011.6021767