Document Type

Article

Publication Date

12-2016

Publication Title

Computational Intelligence (SSCI), 2016 IEEE Symposium Series on

Publisher

IEEE

Abstract

The security of the power system can be enhanced with the prediction of the dynamic state variables. To increase the security, a distributed predictor is developed based on the Elman Recurrent Neural Network (ERNN) in this study. To develop a scalable distributed predictor, the whole network is divided in a number of ERNNs. They take the current and the previous actual states from its own and its neighbors to predict the near future values of the states. The concept is inspired from the Cellular Computational Network (CCN) framework. Each ERNN is a cell in the CCN framework. Through simulation, the effectiveness of the proposed network is shown for a single step and a multi-step predictor and their accuracies are analyzed for IEEE 68-bus system.

Comments

This manuscript has been published in Computational Intelligence (SSCI), 2016 IEEE Symposium Series on. Please find the published version here (note that a subscription is necessary to access this version): http://ieeexplore.ieee.org/document/7849847/

IEEE holds the copyright in this article.

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