Performance optimization of switched reluctance generator in wind systems an approach based on design of computer experiment

This paper presents a proposal to optimize the performance of switched reluctance generator in a variable wind energy conversion system. An approach based on design of computational experiment is applied to determine the optimal firing angles and the optimal DC link voltage that guarantee the best system behavior for each rotor speed. Third order response surface model based on space-filling designs are applied to build a multiobjective function considering efficiency improvement and torque ripple reduction. Interior point method is applied to find the minimum of the surface, optimizing the process. Direct power control based on hysteresis current control is used to obtain the maximum power as function of the rotor speed, employing the optimal parameters. Simulation results are presented to verify the proposed methodology.

[1]  Man Zhang,et al.  A New Fast Method for Obtaining Flux-Linkage Characteristics of SRM , 2015, IEEE Transactions on Industrial Electronics.

[2]  David A. Torrey,et al.  Switched reluctance generators and their control , 2002, IEEE Trans. Ind. Electron..

[3]  Peyman Asadi Development and application of an advanced switched reluctance generator drive , 2009 .

[4]  C. Mademlis,et al.  Optimizing performance in current-controlled switched reluctance generators , 2005, IEEE Transactions on Energy Conversion.

[5]  J. Clare,et al.  Control of a switched reluctance generator for variable-speed wind energy applications , 2005, IEEE Transactions on Energy Conversion.

[6]  Liyan Qu,et al.  Multiobjective Optimization of Switched Reluctance Motors Based on Design of Experiments and Particle Swarm Optimization , 2015, IEEE Transactions on Energy Conversion.

[7]  Yoichi Hayashi,et al.  A new approach to calculating core losses in the SRM , 1994, Proceedings of 1994 IEEE Industry Applications Society Annual Meeting.

[8]  Kyo-Beum Lee,et al.  Optimal design of a 1 kW switched reluctance generator for wind power systems using a genetic algorithm , 2016 .

[9]  Christos Mademlis,et al.  Optimal efficiency control of switched reluctance generators , 2006, IEEE Transactions on Power Electronics.

[10]  A. Davoudi,et al.  Output power maximization and optimal symmetric freewheeling excitation for Switched Reluctance Generators , 2012, 48th IEEE Industrial & Commercial Power Systems Conference.

[11]  Y. Sozer,et al.  Switched Reluctance Generator Controls for Optimal Power Generation and Battery Charging , 2012, IEEE Transactions on Industry Applications.

[12]  Noureddine Liouane,et al.  Differential evolution method-based output power optimisation of switched reluctance generator for wind turbine applications , 2014 .

[13]  Anders Forsgren,et al.  Interior Methods for Nonlinear Optimization , 2002, SIAM Rev..

[14]  R. Krishnan,et al.  Switched reluctance motor drives : modeling, simulation, analysis, design, and applications , 2001 .

[15]  Margaret J. Robertson,et al.  Design and Analysis of Experiments , 2006, Handbook of statistics.

[16]  Eva Riccomagno,et al.  Experimental Design and Observation for Large Systems , 1996, Journal of the Royal Statistical Society: Series B (Methodological).

[17]  Singiresu S. Rao Engineering Optimization : Theory and Practice , 2010 .

[18]  Runze Li,et al.  Design and Modeling for Computer Experiments (Computer Science & Data Analysis) , 2005 .

[19]  Tarcio Andre dos Santos Barros,et al.  Approach for performance optimization of switched reluctance generator in variable-speed wind generation system , 2016 .