A Radial Network based Approach for Power flow Controlling in Electrical Power System

摘要

This paper presents the design of radial basis function neural network controllers (RBFNN) for UPFC to improve the transient stability performance of a power system. The RBFNN uses single neuron and multi-neuron architecture and the parameters are dynamically adjusted using an error surface derived from active or reactive power/voltage deviations at the UPFC injection bus. The developed approach is evaluated for rotor stability using conventional NN approach with suggested radial NN controlling.