Optimal Design of Gearless Flux-Switching Generator with Ferrite Permanent Magnets

Vladimir Prakht,Vadim Kazakbaev,Vladimir Dmitrievskii

doi:10.3390/math8020206

Abstract

In this paper, the optimal design of the Flux-Switching Generator with ferrite magnets based on a two-mode substituting load profile for a gearless wind generator is considered. A one-criterion Nelder-Mead method is used to optimize the generator design. The optimization function is constructed mainly so as to minimize the average losses in the generator and the required AC–DC converter power. Also, the Flux-Switching Generator torque-ripple and the ferrite magnets volume are minimized. Using substituting profiles instead of initial ones reduces the calculation efforts substantially. The paper contains the analysis of the optimal design of the Flux-Switching Generator with ferrite magnets.

Highlights

Many research works have been focused on the optimization of permanent magnet synchronous generators (PMSG) for wind industry
The optimization routine of a direct drive PMSG with rated values of 500 kW and 36 rpm is presented in Reference [1]
This paper describes the optimal designing of the Flux-Switching Generator (FSG) for the wind turbine operating at the wind speed range from 4 to 12 MPS [8]

Summary

Introduction

Many research works have been focused on the optimization of permanent magnet synchronous generators (PMSG) for wind industry. Most often the traditional design with magnets in the rotor is considered in the case of gearless wind turbines. The optimization routine of a direct drive PMSG with rated values of 500 kW and 36 rpm is presented in Reference [1]. In that work the annual energy production (AEP) is used as the optimization criterion. The calculations are carried out considering eight operating modes of the generator at various wind speeds. It is emphasized that the optimization routine that considers such a large number of the operating points is very computationally demanding and may require the use of distributed parallel or cloud computing

Methods

Results

Conclusion