Integrated parameter estimation method for Brushless doubly-fed induction generator based on simplified d-q model

Abstract

brushless doubly fed induction generator (BDFIG) inherits high reliability due to its special structure, and has great potential in both stand-alone and grid-connected generation applications. For accurate simulation modeling and effective control design, BDFIG parameters are required. However, the existing BDFIG parameter calculation and measurement methods mainly obtain physical parameters based on detailed machine information and professional tools, which cannot meet the parameter requirement of BDFIG control directly and leads to professional knowledge and operation burdens. To overcome above shortages, this paper proposes the BDFIG integrated parameter estimation method based on simplified steady-state BDFIG d-q model. Rather than obtaining all resistance and inductance parameters individually and then calculate the integrated parameters required by simulation and control, the proposed method estimates key resistance and integrated inductance parameters directly based on the simplified BDFIG d-q model and a small amount of steady-state voltage and current data. The proposed method has good convenience and pertinence for BDFIG simulation and control design. No professional measurement or complicated calculation is needed. Simulation and experiments verify the feasibility of the proposed method.