Network Observability Determination using Artificial Neural Networks

P. Tanprasert and S. Jiriwibhakorn (Thailand)


State estimation, topological observability, artificial neural networks (ANNs), measurement jacobian matrix reduction


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.

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