Design and optimization of permanent magnet synchronous generator dedicated to direct-drive, high power wind turbine

Abstract

This paper presents analysis, design, and optimization of a high-power permanent-magnet synchronous generator (PMSG). This generator is introduced in a large-scale wind turbine which can be used in a big wind farm. This generator is used in gearless configuration. The work focuses on the geometric sizing and the finite element analysis (FEA) of the PMSG. FEA is a good choice for analyzing problems over complicated domains. The flux, the electromotive force, the cogging torque, and the torque are calculated using analytical equations. Then, these parameters are obtained using finite element method (FEM) in the software FEMM and the compared with analytical results in order to validate our study. The second part presents the formulation of the optimization problem, including the optimization space, constraints, and objectives. The genetic algorithm (GA) is adopted in this design optimization in order to minimize the generator cost.

Direct Drive Permanent Magnet Synchronous Generator: Design, Modeling, and Control for Wind Energy Applications

“…In this section, a DD-SPMSG with 64 poles pairs, 660 kW rated power and 46.875 rpm rated mechanical speed is analytically designed. The principal dimensions of the generator are calculated using classical equations given in literature [6][7][8][9][10][11][12][13].…”

“…where r r1 is the ratio of the radius bore to the active length (L), P n is the rated power, K w1 is the stator fundamental winding factor, B ̂g1 is the fundamental air gap flux density, Â 1 is the linear current density, Ω is the rated speed and cos φ is the rated power factor. The gap length (g), the stator yoke (y s ) and the rotor yoke (y r ) are expressed by [9,10]: The height (s h ) and the width (s w ) of the stator slot are given by [9,11]:…”

Maximum power optimization of a direct-drive wind turbine connected to PMSG using multi-objective genetic algorithm

“…2, June 2024: 453-464 454 (MPPT) for different wind speeds, thus ensuring maximum power extraction [5], [6]. However, variations in wind speed can cause fluctuations in turbine rotor speed, necessitating effective MPPT algorithms to find the optimal power point and enhance overall system performance [7]. This research proposes using the incremental conductance method (INC) for MPPT in wind energy conversion systems (WECS).…”