DocumentCode :
650239
Title :
Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter
Author :
Qudsi, Ony Asrarul ; Windarko, Novie Ayub ; Priyadi, Ardyono ; Purnomo, Mauridhi Hery
Author_Institution :
Dept. of Electr. Eng., Inst. Teknol. Sepuluh Nopember, Surabaya, Indonesia
fYear :
2013
fDate :
7-8 Oct. 2013
Firstpage :
391
Lastpage :
396
Abstract :
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.
Keywords :
PWM invertors; genetic algorithms; optimisation; PSIM; VSI; generalized discontinuous PWM; inductive load; inverter switching losses; objective function; optimization; optimized GDPWM; power simulator; spontaneous evolutionary genetic algorithm; thermal module; voltage source inverter; Generalized Discontinuous PWM (GDPWM); Spontaneous Evolution Genetic Algorithm; inverter; switching losses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4799-0423-5
Type :
conf
DOI :
10.1109/ICITEED.2013.6676274
Filename :
6676274
Link To Document :
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