Power System Topology Identification Using Neural Networks Part III

M. Delimar, I. Pavić, and Z. Hebel (Croatia)


power system, topology recognition, neural networks, unsupervised parts of the power system


This is the third part of the study on using neural networks in Power system topology identification. The first two parts (Part I - Line processing [1] and Part II - Node processing [2]) were presented at previous IASTED PES conferences. In this paper a multiplayer percepton neural network is used to help identify the state of an unsupervised part of the power system. The experiment is performed on a slightly modified IEEE 24-node network. The results are presented and discussed.

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