Security Analysis of Distribution Network using Nonlinear Load Flow and Artificial Intelligence

R. Lis (Poland)


Power system control, neural network, security assessment


Power system security assessment by static approach is considered in the paper. The objective of the presented work is to investigate post-contingency load flows implementing back-propagation neural network. The chosen neural network is to perform the post-contingency classification, and to indicate the operating limit violation. Presented solution deals with overload and low voltage coefficients, which are calculated for important lines and nodes using nonlinear post-contingency load flow. A 600 node power system has been used to investigate the performance of neural network for security analysis of the meshed distribution network, being a part of that analyzed network

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