Application of a new neural network to on-line voltage stability assessment

Voltage stability problems have been one of the major concerns for electric utilities as a result of system heavy loading. This paper reports on an investigation into the application of a new neural network (NN) in on-line voltage stability assessment. The proposed NN is a functional link net with a...

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Bibliographic Details
Published in:Canadian journal of electrical and computer engineering 2000-04, Vol.25 (2), p.69-75
Main Author: Amjadi, Nima
Format: Article
Language:English
Subjects:
Electricity distribution
Reliability
Online Access:Get full text
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Summary:Voltage stability problems have been one of the major concerns for electric utilities as a result of system heavy loading. This paper reports on an investigation into the application of a new neural network (NN) in on-line voltage stability assessment. The proposed NN is a functional link net with an efficient functional expansion model for learning. This NN is used for estimation of voltage stability margins (VSMs). Based on the energy method, a direct mapping relation between system loading conditions and the VSMs is set up via the designed NN. A systematic method for selecting the NN's input variables was developed using sensitivity analysis. The proposed method has been tested on the IEEE test systems and a portion of Iran's power-system network. Obtained results confirm the validity of the developed approach. Also, a comparison of the proposed approach with other methods of voltage stability assessment is presented, which indicates the efficiency of this approach.
ISSN:0840-8688