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Proceedings Paper

Application of an artificial neural network to decentralized voltage control in power systems
Author(s): Hiroyuki Mori
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Paper Abstract

This paper proposes an artificial neural-net based method for voltage control in power networks. Power system voltages are necessary to minimize a cost function of the voltage deviation from the target in order to keep sound power system conditions. Centralized control for the voltages is difficult to handle as the power system size becomes larger. Although on- line voltage control is required in power system control, the conventional nonlinear programming based approaches are quite time-consuming. In this paper, a decentralized scheme for voltage control is proposed to minimize the voltage deviations with an artificial neural network. It is expected that the voltage control problem is easier to handle in a decentralized way because of the problem characteristics. A three-layer perceptrons is utilized as an artificial neural network to estimate the optimal control variables. The proposed method allows us to alleviate the curse of dimensionality in power systems and make the computation much more efficient.

Paper Details

Date Published: 16 September 1992
PDF: 8 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140040
Show Author Affiliations
Hiroyuki Mori, Meiji Univ. (Japan)

Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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