Moghavvemi, M. and Jasmon, G.B. (1996) An artificial neural network aided solution to the problem of voltage stability in power systems. International Journal of Power and Energy Systems, 16 (3). pp. 130-134. ISSN 1078-3466,
Full text not available from this repository.Abstract
This paper presents an artificial neural network (ANN) model for evaluating the voltage collapse point of a power system. Random changes in load level at all busbars in a distribution network will change the operating margin of the power system from a voltage stability point of view. The proposed method is able to almost accurately predict the voltage stability factor of a given distribution network resulting from either real or reactive power load changes or any other system parameter change.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Neural network; Power system protection; Prediction; Stability factors; Voltage stability index |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering |
| Depositing User: | Ms. Norhamizah Tamizi |
| Date Deposited: | 27 Mar 2014 10:27 |
| Last Modified: | 23 Nov 2017 03:00 |
| URI: | http://eprints.um.edu.my/id/eprint/9772 |
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