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

Ony Asrarul Qudsi; Novie Ayub Windarko; Ardyono Priyadi; Mauridhi Hery Purnomo

doi:10.1109/ICITEED.2013.6676274

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

Ony Asrarul Qudsi, Novie Ayub Windarko, Ardyono Priyadi, Mauridhi Hery Purnomo

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

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.

Original language	English
Pages	391-396
Number of pages	6
DOIs	https://doi.org/10.1109/ICITEED.2013.6676274
Publication status	Published - 2013
Event	2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013 - Yogyakarta, Indonesia Duration: 7 Oct 2013 → 8 Oct 2013

Conference

Conference	2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013
Country/Territory	Indonesia
City	Yogyakarta
Period	7/10/13 → 8/10/13

Keywords

Generalized Discontinuous PWM (GDPWM)
Spontaneous Evolution Genetic Algorithm
inverter
switching losses

Access to Document

10.1109/ICITEED.2013.6676274

Cite this

@conference{c71f10207be64a0b9159907e05cb1fc3,

title = "Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter",

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 = "Generalized Discontinuous PWM (GDPWM), Spontaneous Evolution Genetic Algorithm, inverter, switching losses",

author = "Qudsi, {Ony Asrarul} and Windarko, {Novie Ayub} and Ardyono Priyadi and Purnomo, {Mauridhi Hery}",

year = "2013",

doi = "10.1109/ICITEED.2013.6676274",

language = "English",

pages = "391--396",

note = "2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013 ; Conference date: 07-10-2013 Through 08-10-2013",

}

Qudsi, OA, Windarko, NA, Priyadi, A & Purnomo, MH 2013, 'Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter', Paper presented at 2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013, Yogyakarta, Indonesia, 7/10/13 - 8/10/13 pp. 391-396. https://doi.org/10.1109/ICITEED.2013.6676274

Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter. / Qudsi, Ony Asrarul; Windarko, Novie Ayub; Priyadi, Ardyono et al.
2013. 391-396 Paper presented at 2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013, Yogyakarta, Indonesia.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Optimized GDPWM based on Spontaneous Evolutionary GA for reducing switching losses on inverter

AU - Qudsi, Ony Asrarul

AU - Windarko, Novie Ayub

AU - Priyadi, Ardyono

AU - Purnomo, Mauridhi Hery

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Generalized Discontinuous PWM (GDPWM)

KW - Spontaneous Evolution Genetic Algorithm

KW - inverter

KW - switching losses

UR - http://www.scopus.com/inward/record.url?scp=84898986696&partnerID=8YFLogxK

U2 - 10.1109/ICITEED.2013.6676274

DO - 10.1109/ICITEED.2013.6676274

M3 - Paper

AN - SCOPUS:84898986696

SP - 391

EP - 396

T2 - 2013 5th International Conference on Information Technology and Electrical Engineering, ICITEE 2013

Y2 - 7 October 2013 through 8 October 2013

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this