Power System Transient Stability Margin Estimation using Artificial Neural Networks

Lakshminarayana Pothamsetty, Shishir Ranjan, Mukesh Kumar Kirar, Ganga Agnihotri
2014 Electrical and Electronics Engineering An International Journal  
This paper presents a methodology for estimating the normalized transient stability margin by using the multilayered perceptron (MLP) neural network. The complex relationship between the input variables and output variables is established by using the neural networks. The nonlinear mapping relation between the normalized transient stability margin and the operating conditions of the power system is established by using the MLP neural network. To obtain the training set of the neural network the
more » ... neural network the potential energy boundary surface (PEBS) method along with time domain simulation method is used. The proposed method is applied on IEEE 9 bus system and the results shows that the proposed method provides fast and accurate tool to assess online transient stability. KEYWORDS Power system stability, transient energy function, potential energy boundary surface (PEBS), neural networks, ETAP software.
doi:10.14810/elelij.2014.3405 fatcat:vaxa4hxc6jhuhg7hdh746iy7ee