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.
Recommended Citation
Please use the publisher's recommended citation. http://ieeexplore.ieee.org/document/7849847/
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/
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