Identification of A Hysteresis Model Parameters Using the Differential Evolution Algorithm

2017 2nd Asia Conference on Power and Electrical Engineering

能源学;电工学

Liu, Shiming^1 ; Liu, Ruisheng^1 ; Dong, Liang^1 ; Guo, Yu^1

Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan

250061, China^1

关键词: Accurate analysis;    Differential evolution algorithms;    Hysteresis modeling;    Jiles-Atherton hysteresis;    Material characteristics;    Mathematical descriptions;    Phenomenological modeling;    Steady state and transients;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/199/1/012145/pdf
DOI  :  10.1088/1757-899X/199/1/012145

来源: IOP

【 摘 要 】

Establishing the accurate mathematical and simulation model of transformer is the basis of the power system steady state and transient state analysis, but the nonlinear of the transformer main magnetic circuit makes it difficult to accurate analysis of the transformer and its system. Jiles-Atherton hysteresis model as one of the classical model of ferromagnetic materials, is a physical basis of phenomenological model. It enables the mathematical description of hysteresis curves using five parameters that depend on the magnetic material characteristics. This paper introduces a modified Jiles-Atherton static hysteresis model, and the inverse model was deducted. And then this paper identifies of a hysteresis model parameters using the differential evolution algorithm, and the calculated results are well agreed with the date.