volume | PIER Journals

Abstract

In order to solve the problem of the influence of magnetic saturation and voltage source inverter (VSI) nonlinear factors on the parameter identification of permanent magnet synchronous wind generator (PMSWG), a variable neighborhood search-adaptive genetic algorithm (VNS-AGA) based on magnetic saturation and VSI compensation is proposed in this paper. Considering the existence of magnetic saturation, a mathematical model of PMSWG considering magnetic saturation is established. The least square method is used to identify the inductance of dq axis. The influence of VSI nonlinear factors on the system is regarded as a disturbance voltage, which is used as an electrical parameter; the parameters of PMSWG are identified simultaneously; and voltage compensation is carried out. After the accurate distortion voltage compensation mathematical model and fitness function are established, GA and adaptive algorithm are combined to increase the diversity of the population. Then variable neighborhood search (VNS) strategy is introduced to search the optimal region. Experimental results show that the proposed method is more accurate and convergent after considering magnetic saturation and on-line identification and compensation of disturbance voltage.

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Dr. Zhun Cheng

Dr. Chao Zhang

Dr. Yang Zhang