Multi-objective particle swarm optimization of wind turbine directly connected PMSG

Annual yield energy, compact design and cost of active material as permanent magnet (PM) cost are the fundamental design aspects that permanent magnet synchronous generators (PMSGs) designer should consider. The complexity of the electric machine structure is a challenging task, which requires an optimal design approach. The use of intelligent optimization techniques is widely considered as an appropriate tool in this context. This paper adopts Particle Swarm Optimization (PSO) for the design of PMSG, optimizing for three different optimization functions. The optimization is achieved through the lumped element model of the generator. Then aided with finite element method software, the results from the PSO are verified and compared. The results highlighted that each optimization function serves a different purpose.

[1]  Ahmed Hebala,et al.  A comparative study of winding configuration effect on the performance of low speed PMSG using FEM , 2016, 2016 Eighteenth International Middle East Power Systems Conference (MEPCON).

[2]  A. Hebala,et al.  Different design approaches of surface mounted high performance PMSG , 2017, 2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT).

[3]  T.G. Habetler,et al.  Comparison of Particle Swarm Optimization and Genetic Algorithm in the design of permanent magnet motors , 2009, 2009 IEEE 6th International Power Electronics and Motion Control Conference.

[4]  P. Sergeant,et al.  Influence of the Electrical Steel Grade on the Performance of the Direct-Drive and Single Stage Gearbox Permanent-Magnet Machine for Wind Energy Generation, Based on an Analytical Model , 2011, IEEE Transactions on Magnetics.

[5]  Jonq-Chin Hwang,et al.  Design of High Performance Permanent-Magnet Synchronous Wind Generators , 2014 .

[6]  H. Polinder,et al.  Optimization of Multibrid Permanent-Magnet Wind Generator Systems , 2009, IEEE Transactions on Energy Conversion.

[7]  Wan-Tsun Tseng,et al.  Design parameters optimization of a permanent magnet synchronous wind generator , 2016, 2016 19th International Conference on Electrical Machines and Systems (ICEMS).

[8]  T.G. Habetler,et al.  Method for multi-objective optimized designs of Surface Mount Permanent Magnet motors with concentrated or distributed stator windings , 2009, 2009 IEEE International Electric Machines and Drives Conference.

[9]  Thomas G. Habetler,et al.  Multi-objective design optimization of Surface Mount Permanent Magnet machine with particle swarm intelligence , 2008, 2008 IEEE Swarm Intelligence Symposium.

[10]  Timothy J. E. Miller,et al.  Design of Brushless Permanent-Magnet Motors , 1994 .

[11]  Zhe Chen,et al.  Design optimization and evaluation of different wind generator systems , 2008, 2008 International Conference on Electrical Machines and Systems.

[12]  Raja Ram Kumar,et al.  Design, analysis and optimization of permanent magnet synchronous generator , 2016, 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES).

[13]  Rukmi Dutta,et al.  Optimization of a MW Halbach PMSG for wind turbine applications , 2016, 2016 XXII International Conference on Electrical Machines (ICEM).

[14]  Sofiane Mendaci,et al.  Ant Colony for optimal design of PM synchronous generator for direct-drive wind turbines , 2014, 2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).

[15]  Z. Chen,et al.  Optimal direct-drive permanent magnet wind generator systems for different rated wind speeds , 2007, 2007 European Conference on Power Electronics and Applications.