Radial basis function networks for contingency analysis of bulk power systems

J. A. Refaee; M. Mohandes; H. Maghrabi

doi:10.1109/59.761911

Radial basis function networks for contingency analysis of bulk power systems

J. A. Refaee^*
, M. Mohandes
, H. Maghrabi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

66 Scopus citations

Abstract

Radial Basis Function Networks (RBFNs) are used for contingency evaluation of bulk power system. The motivation behind this work is to exploit the non-linear mapping capabilities of RBFN in estimating line loading and bus voltage of a bulk power system following a contingency. Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compared with a standard AC load flow algorithm.

Original language	English
Pages (from-to)	772-778
Number of pages	7
Journal	IEEE Transactions on Power Systems
Volume	14
Issue number	2
DOIs	https://doi.org/10.1109/59.761911
State	Published - 1999

Bibliographical note

Funding Information:
The authors acknowledge the support of the Electrical Engineering department and the Research Institute of King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia.

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/59.761911

Cite this

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abstract = "Radial Basis Function Networks (RBFNs) are used for contingency evaluation of bulk power system. The motivation behind this work is to exploit the non-linear mapping capabilities of RBFN in estimating line loading and bus voltage of a bulk power system following a contingency. Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. The performance of the RBFN is compared with a standard AC load flow algorithm.",

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Radial basis function networks for contingency analysis of bulk power systems

Abstract

Bibliographical note

ASJC Scopus subject areas

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