Formulation and Multiobjective Design Optimization of Wound-Field Flux Switching Machines for Wind Energy Drives

In this study, constrained multiobjective design optimization (MDO) of wound-field flux switching machines (WF-FSMs) for wind energy drives is undertaken in two-dimensional (2-D) static finite-element analyses (FEA), facilitated by simple analytic formulations. The MDO implementation is fully discussed, whereby the simulations for two different problem formulations produce Pareto optimal solutions, which enable important design considerations. Two optimal design candidates, each from the MDO problems investigated, are isolated and compared. The comparison shows that minimizing manufacturing costs places too much pressure on the electromagnetic performance of the WF-FSM, whereas optimizing the generator performance may improve the efficiency and cost of the drivetrain solid state converters (SSCs), with little compromise to the generator costs. In the end, 3-D transient FEA results are provided for validation.

[1]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[2]  Steffen Bernet,et al.  A new modular flux-switching permanent magnet drive for large wind turbines , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[3]  D. Howe,et al.  Influence of design parameters on output torque of flux-switching permanent magnet machines , 2008, 2008 IEEE Vehicle Power and Propulsion Conference.

[4]  E. Karaman,et al.  Multilayer-Winding Versus Switched-Flux Permanent-Magnet AC Machines for Gearless Applications in Clean-Energy Systems , 2012, IEEE Transactions on Industry Applications.

[5]  Jiabing Hu,et al.  Electrical machines and power‐electronic systems for high‐power wind energy generation applications: Part I – market penetration, current technology and advanced machine systems , 2012 .

[6]  N. Matsui,et al.  Design study and experimental analysis of wound field flux switching motor for HEV applications , 2012, 2012 XXth International Conference on Electrical Machines.

[7]  Wei Hua,et al.  Mathematical Modeling of a 12-Phase Flux-Switching Permanent-Magnet Machine for Wind Power Generation , 2016, IEEE Transactions on Industrial Electronics.

[8]  Stiaan Gerber.  A finite element based optimisation tool for electrical machines , 2011 .

[9]  S. Galioto,et al.  Reduced rare-earth flux switching machines for traction applications , 2014, 2014 IEEE Energy Conversion Congress and Exposition (ECCE).

[10]  E. A. Lomonova,et al.  Design considerations of flux-switching machines with permanent magnet or DC excitation , 2013, 2013 15th European Conference on Power Electronics and Applications (EPE).

[11]  Dan M. Ionel,et al.  A review of recent developments in electrical machine design optimization methods with a permanent magnet synchronous motor benchmark study , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[12]  Liviu Somesan,et al.  Permanent magnet flux-switching machine, optimal design and performance analysis , 2013 .

[13]  Thomas A. Lipo,et al.  A general approach to sizing and power density equations for comparison of electrical machines , 1996 .

[14]  Y. J. Zhou,et al.  Comparison of Wound-Field Switched-Flux Machines , 2014, IEEE Transactions on Industry Applications.

[15]  Maarten J. Kamper,et al.  Evaluation of flux switching PM machines for medium-speed wind generator drives , 2015, 2015 IEEE Energy Conversion Congress and Exposition (ECCE).

[16]  Johannes J. H. Paulides,et al.  Flux-Switching Machine With DC Excitation , 2012, IEEE Transactions on Magnetics.

[17]  Nobuyuki Matsui,et al.  Experimental drive performance evaluation of high power density wound field flux switching motor for automotive applications , 2014 .

[18]  Dan M. Ionel,et al.  Saliency Ratio and Power Factor of IPM Motors With Distributed Windings Optimally Designed for High Efficiency and Low-Cost Applications , 2016, IEEE Transactions on Industry Applications.

[19]  M. J. Kamper,et al.  Performance comparison of optimum wound-field and ferrite PM flux switching machines for wind energy applications , 2016, 2016 XXII International Conference on Electrical Machines (ICEM).

[20]  Ayman M. El-Refaie,et al.  Growing role of electrical machines and drives in electrification , 2016, 2016 XXII International Conference on Electrical Machines (ICEM).

[21]  Maarten J. Kamper,et al.  Calculation Methods and Effects of End-Winding Inductance and Permanent-Magnet End Flux on Performance Prediction of Nonoverlap Winding Permanent-Magnet Machines , 2014, IEEE Transactions on Industry Applications.

[22]  Kais Atallah,et al.  Trends in Wind Turbine Generator Systems , 2013, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[23]  Z. Zhu,et al.  A Novel Axial Field Flux-Switching Permanent Magnet Wind Power Generator , 2011, IEEE Transactions on Magnetics.

[24]  Z.Q. Zhu,et al.  Design of Flux-Switching Permanent Magnet Machine Considering the Limitation of Inverter and Flux-Weakening Capability , 2006, Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting.

[25]  John E. Fletcher,et al.  Torque ripple analysis and reduction for wind energy conversion systems using uncontrolled rectifier and boost converter , 2011 .

[26]  Wei Hua,et al.  Overview of Stator-Permanent Magnet Brushless Machines , 2011, IEEE Transactions on Industrial Electronics.

[27]  M. J. Kamper,et al.  Contemporary wind generators , 2014, 2014 International Conference on the Eleventh industrial and Commercial Use of Energy.

[28]  M. Gabsi,et al.  Design of a Flux-Switching Electrical Generator for Wind Turbine Systems , 2012, IEEE Transactions on Industry Applications.