engleski

Power System Topology Identification Using Neural Networks, Part I - Line Processing

... This paper present a model for identifying anomalies in power system topology based on neural networks. The procedure is divided into two parts: nodes and branch processing. This paper focuses on branch processing. Several types of neural networks were tried out on different power system network configurations. The results obtained using multilayer percepton with backpropagation learning algorithm are presented and analyzed.

topology; anomalies; neural networks; power system; state estimation

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