Parameter identification of heffron-phillips model considering avr using online measurements data

Abstract

The Heffron-Phillips model of the synchronous generator is a fourth order linear model including a third order synchronous machine and a first order automatic voltage regulator (AVR) model. This model is used for small signal stability analysis and power system stabilizer (PSS) design. In some power grids, the synchronous generators and excitation system parameters are not available or valid because of derating, while these parameters are essential to analyze the power systems, design the controllers, and assess the security of the network. In this paper, a genetic algorithm-based method is proposed to identify the parameters of the synchronous generator and excitation system in the frame of Heffron-Phillips model using on-line measurements data. In the proposed method, the reference voltage of AVR is considered as the input signal, while the terminal voltage and output active power of the machine are considered as output signals. The output signals are provided by phasor measurement units (PMUs). The proposed method is applied to a single machine connected to an infinite bus, to show its effectiveness and accuracy.