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A Deep Neural Network Approach for Online Topology Identification in State Estimation | IEEE Journals & Magazine | IEEE Xplore

A Deep Neural Network Approach for Online Topology Identification in State Estimation


Abstract:

This paper introduces a network topology identification (TI) method based on deep neural networks (DNNs) for online applications. The proposed TI DNN utilizes the set of ...Show More

Abstract:

This paper introduces a network topology identification (TI) method based on deep neural networks (DNNs) for online applications. The proposed TI DNN utilizes the set of measurements used for state estimation to predict the actual network topology and offers low computational times along with high accuracy under a wide variety of testing scenarios. The training process of the TI DNN is duly discussed, and several deep learning heuristics that may be useful for similar implementations are provided. Simulations on the IEEE 14-bus and IEEE 39-bus test systems are reported to demonstrate the effectiveness and the small computational cost of the proposed methodology.
Published in: IEEE Transactions on Power Systems ( Volume: 36, Issue: 6, November 2021)
Page(s): 5824 - 5833
Date of Publication: 29 April 2021

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