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Power System Stabilizer and Secondary Voltage Regulator Tuning for Multi-machine Power Systems

Abstract This article aims to present the performance of a B-spline neural network scheme for tuning both the reactive power provision controller from synchronous machines and power system stabilizers in multi-machine power systems. The B-spline neural network is an efficient tool to implement the adaptive control voltage and power system stabilizer coordination, with the possibility of carrying out this task on-line, taking into account the systems' non-linearities. One of the main tasks within this context is to estimate the best power system stabilizer's parameters and adjust the proportional-integral parameters for reactive power provision. In this article, this is solved by a neural network algorithm. The applicability of the proposal is demonstrated by simulation on two test systems. Results show that the proposed coordination scheme is comparable to that obtained by a conventional design, without requiring a strict model analysis.