Multiobjective Design Optimization of a Double-Sided Flux Switching Permanent Magnet Generator for Counter-Rotating Wind Turbine Applications

A counter-rotating wind turbine in which two sets of rotors rotating in opposite directions leads to the twice power density of the conventional turbines. Moreover, employing a high-power modern electric generator is another contributing factor in improving the performance of wind power generation systems. In this regard, double-sided flux switching permanent magnet generators, with ferrite magnet, are getting firm attention. In this regard, the concept and multiobjective design optimization procedure of this generator, connected with counter-rotating wind turbines, is proposed in this article. In order to achieve the optimum performance of the proposed generator, the design of experiments with Taguchi optimization is employed. In this method, although the effect of each design variable on the objective functions can be considered, selecting the best combination of control factors is not easy in the multiobjective optimization. Thus, a decision-making algorithm with the technique for order of preference by similarity to ideal solution is employed in order to select the best combination. Finally, the performance of the optimized counter-rotating double-sided flux switching permanent magnet generator will be evaluated by finite element modeling and experimental tests.

[1]  Yunkai Huang,et al.  Novel Dual-Stator Machines With Biased Permanent Magnet Excitation , 2018, IEEE Transactions on Energy Conversion.

[2]  Y. Zhang,et al.  Wind Power Prediction Based on LS-SVM Model with Error Correction , 2017 .

[3]  Claudia Martis,et al.  Optimal design of a flux-switching permanent magnet machine for small power automotive applications , 2014, 2014 International Symposium on Power Electronics, Electrical Drives, Automation and Motion.

[4]  Khalifa Mansouri,et al.  Multi-criteria decision making approach for ITIL processes performance evaluation: Application to a Moroccan SME , 2017, 2017 Intelligent Systems and Computer Vision (ISCV).

[5]  R. Nasiri-Zarandi,et al.  Thermal Modeling and Analysis of a Novel Transverse Flux HAPM Generator for Small-Scale Wind Turbine Application , 2020, IEEE Transactions on Energy Conversion.

[6]  Nurul Azim Bhuiyan,et al.  Optimization of Offshore Direct Drive Wind Turbine Generators With Consideration of Permanent Magnet Grade and Temperature , 2019, IEEE Transactions on Energy Conversion.

[7]  Zheng Zhang,et al.  MW-Class Stator Wound Field Flux-Switching Motor for Semidirect Drive Wind Power Generation System , 2019, IEEE Transactions on Industrial Electronics.

[8]  Jin Wei,et al.  A New Perspective on the Operating Principle of Flux-Switching Permanent-Magnet Machines , 2016, IEEE Transactions on Industrial Electronics.

[9]  K. Hameyer,et al.  Sizing-designing procedure of the permanent magnet flux-switching machine based on a simplified analytical model , 2012, 2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM).

[10]  Wei Hua,et al.  Investigation and General Design Principle of a New Series of Complementary and Modular Linear FSPM Motors , 2013, IEEE Transactions on Industrial Electronics.

[11]  Seyed Ehsan Abdollahi,et al.  Analysis of a Novel Transverse Laminated Rotor Flux Switching Machine , 2018, IEEE Transactions on Energy Conversion.

[12]  Njål Rotevatn Design and testing of Flux Switched Permanent Magnet (FSPM) Machines , 2009 .

[13]  Maarten J. Kamper,et al.  Intriguing Behavioral Characteristics of Rare-Earth-Free Flux Switching Wind Generators at Small- and Large-Scale Power Levels , 2018, IEEE Transactions on Industry Applications.

[14]  Jianzhong Zhang,et al.  A Segmented Brushless Doubly Fed Generator for Wind Power Applications , 2018, IEEE Transactions on Magnetics.

[15]  Tuomas Messo,et al.  Dynamic modelling of grid-connected permanent magnet synchronous generator wind turbine: rectifier dynamics and control design , 2019 .

[16]  Tiberiu Tudorache,et al.  Finite element analysis of a wind generator with two counter-rotating rotors , 2017, 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).

[17]  Dandan Song,et al.  Multi‐objective optimisation design of air‐cored axial flux PM generator , 2018, IET Electric Power Applications.

[18]  Xu Cai,et al.  Equivalent Modeling and Comprehensive Evaluation of Inertia Emulation Control Strategy for DFIG Wind Turbine Generator , 2019, IEEE Access.

[19]  Fengge Zhang,et al.  Rotor optimisation design and performance comparison of BDFG for wind power generation , 2019 .

[20]  W. Hua,et al.  A Comparative Study on Nine- and Twelve-Phase Flux-Switching Permanent-Magnet Wind Power Generators , 2019, IEEE Transactions on Industry Applications.

[21]  A. A. Arkadan,et al.  Design Evaluation of Conventional and Toothless Stator Wind Power Axial-Flux PM Generator , 2016, IEEE Transactions on Magnetics.

[22]  Xiaoyan Huang,et al.  Design of a dual-stator superconducting permanent magnet wind power generator with different rotor configuration , 2016, 2016 IEEE Conference on Electromagnetic Field Computation (CEFC).

[23]  Yuan Zhao,et al.  A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting , 2019, Energy Conversion and Management.

[24]  T. Krogh,et al.  DNV-Risø ''Guidelines for design of wind turbines'' , 2001 .

[25]  L. Szabo,et al.  Design of a permanent magnet flux-switching machine , 2012, 2012 ELEKTRO.

[26]  S. Supraja,et al.  A comparative study by AHP and TOPSIS for the selection of all round excellence award , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).