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Network observability determination using artificial neural networks
Author(s)
Tanprasert, Pornthep
Date Issued
December 1, 2005
Type
Conference Paper
Abstract
This paper purposes a method for the determination of network observability of the Provincial Electricity Authority (PEA)'s power system in Thailand using the artificial neural networks (ANNs). The network observability problem related to the power system configuration or network topology, called the topological observability, is studied to solve the topological observability problem. The artificial neural networks (ANNs) based on back propagation learning are used as a tool to solve this problem.
Citation
Series on Energy and Power Systems, 167-172, 2005