Nonlinear least-square estimation (LSE)-based parameter identification of a synchronous generator

The objective of this paper is to identify a synchronous generator's internal voltage, d_q-axis reactances using Phasor Measurement Unit (PMU) data obtained at the terminal bus of the generator. Our approach is to firstly classify the PMU data into inputs and outputs and then identify the relationship between the inputs and the outputs. With different classifications and different assumptions on salience, we obtain three different estimation models. With the relationship expressed by non-linear algebraic equations given, we then apply nonlinear least-square estimation (LSE) and regulated nonlinear LSE to conduct parameter estimation. Case studies are conducted to illustrate the estimation procedure.