Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter

This paper presents analytical techniques for reducing switching losses of voltage source inverter (VSI) using Generalized Discontinuous PWM (GDPWM). The switching losses of inverter is influenced by the angle on the modulation of GDPWM. This problem will be optimized using a new optimization method. This method is called as Spontaneous Evolutionary GA (SEGA). The inverter switching losses is formulated as objective function to optimize the angle. At this optimization process, angle values will be determined to minimize the inverter switching losses. Thermal module of Power Simulator (PSIM) is used to verify the optimized angle of GDPWM. The simulation was performed using a three-phase voltage source inverter (VSI) and an inductive load. Simulation results confirm the method could minimize the losses of inverter.

[1]  Hui Li,et al.  Optimized PWM strategy based on genetic algorithms , 2005, IEEE Transactions on Industrial Electronics.

[2]  Tai-shan Yan An Improved Genetic Algorithm and Its Blending Application with Neural Network , 2010, 2010 2nd International Workshop on Intelligent Systems and Applications.

[3]  D. Subbarayudu,et al.  Generalized Discontinuous PWM Based Direct Torque Controlled Induction Motor Drive with a Sliding Mode Speed Controller , 2006, 2006 International Conference on Power Electronic, Drives and Energy Systems.

[5]  Ahmet M. Hava,et al.  Simple Analytical and Graphical Methods for Carrier-Based PWM-VSI Drives , 1999 .

[6]  H. Kakigano,et al.  Loss evaluation of DC distribution for residential houses compared with AC system , 2010, The 2010 International Power Electronics Conference - ECCE ASIA -.

[7]  Olorunfemi Ojo,et al.  The generalized discontinuous PWM scheme for three-phase voltage source inverters , 2004, IEEE Transactions on Industrial Electronics.

[8]  J. Holtz PULSE WIDTH MODULATION FOR ELECTRONIC POWER CONVERSION , 2013 .

[9]  Ahmet M. Hava,et al.  A high performance generalized discontinuous PWM algorithm , 1997, Proceedings of APEC 97 - Applied Power Electronics Conference.

[10]  Pengfei Guo,et al.  The enhanced genetic algorithms for the optimization design , 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

[11]  J. Holtz,et al.  Pulsewidth modulation for electronic power conversion , 1994, Proc. IEEE.

[12]  T. Brahmananda Reddy,et al.  A novel high performance Generalized Discontinuous PWM algorithm for reduced current ripple and switching losses using imaginary switching times , 2008 .

[13]  Joachim Holtz Pulsewidth modulation-a survey , 1992, IEEE Trans. Ind. Electron..