| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 496178 | Applied Soft Computing | 2012 | 7 Pages |
A new ANN based algorithm that requires only a minimum number of inputs is proposed to estimate the voltage magnitude of each critical bus in a power system under normal and/or contingent states. The basic philosophy is to develop an online tool, with a view to predict the occurrence of voltage collapse due to either an outage and/or projected changes in load. Besides the scheme contemplates to aid in the process of computing the approximate VAR support/sheddable load that is required to prevent voltage instability, which is imminent on account of the stressed operating nature of the present day power networks. The performance is evaluated through standard IEEE 14, 30 and 57 bus test systems and the simulation results are presented to demonstrate its validity and suitability for practical applications.
Graphical abstractFigure optionsDownload full-size imageDownload as PowerPoint slideHighlights► An elegant ANN tool with minimum inputs is developed to estimate the voltage magnitude of each critical bus in a power system under normal and/or contingent states. ► It also provides online help to the system operator in the process of computing approximate VAR support/sheddable load that is required to prevent voltage instability. ► The results on IEEE 14, 30 and 57 bus systems appear as a promising endeavor in its mission to serve as an online tool for practical applications.
