Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters

Manita Kumari; Mohammad Ali; Salman Ahmad; Imtiaz Ashraf; Abdul Azeem; Mohd Tariq; M. Saad Bin Arif; Atif Iqbal

doi:10.1109/ICPECA47973.2019.8975556

Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters

Manita Kumari
, Mohammad Ali
, Salman Ahmad
, Imtiaz Ashraf
, Abdul Azeem
, Mohd Tariq
, M. Saad Bin Arif
, Atif Iqbal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

In medium voltage high power application of voltage source inverter (VSI), low switching frequency pulse width modulation (LSPWM) techniques offer better efficiency and better thermal management as the switching loss decreases drastically. The number of switching transitions are very limited, hence getting a good quality output waveform is a drawback in LSFPWM. To overcome this problem, selective harmonics elimination (SHE) PWM techniques are used to eliminate any desired harmonics from the output waveform by turning ON and OFF of semiconductor switches at predefined time. However, the main challenge in its implementation is to compute the exact instant of time to turn ON the switches. In this paper a Genetic Algorithm based optimization technique is presented to compute the switching angles in bipolar waveform. The simulation and hardware results are given to verify the robustness of the algorithm.

Original language	English
Title of host publication	2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728139586
DOIs	https://doi.org/10.1109/ICPECA47973.2019.8975556
State	Published - Nov 2019
Externally published	Yes
Event	2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - New Delhi, India Duration: 16 Nov 2019 → 17 Nov 2019

Publication series

Name	2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings
Volume	2019-November

Conference

Conference	2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019
Country/Territory	India
City	New Delhi
Period	16/11/19 → 17/11/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Genetic Algorithm
SHE pulse width modulation
Switching angles

ASJC Scopus subject areas

Signal Processing
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

Access to Document

10.1109/ICPECA47973.2019.8975556

Cite this

Kumari, M., Ali, M., Ahmad, S., Ashraf, I., Azeem, A., Tariq, M., Arif, M. S. B., & Iqbal, A. (2019). Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters. In 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings Article 8975556 (2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings; Vol. 2019-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPECA47973.2019.8975556

Kumari, Manita ; Ali, Mohammad ; Ahmad, Salman et al. / Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters. 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings).

@inproceedings{323009144169496f8305262dbd689789,

title = "Genetic Algorithm based SHE-PWM for 1- {\o} and 3- {\o} Voltage Source Inverters",

abstract = "In medium voltage high power application of voltage source inverter (VSI), low switching frequency pulse width modulation (LSPWM) techniques offer better efficiency and better thermal management as the switching loss decreases drastically. The number of switching transitions are very limited, hence getting a good quality output waveform is a drawback in LSFPWM. To overcome this problem, selective harmonics elimination (SHE) PWM techniques are used to eliminate any desired harmonics from the output waveform by turning ON and OFF of semiconductor switches at predefined time. However, the main challenge in its implementation is to compute the exact instant of time to turn ON the switches. In this paper a Genetic Algorithm based optimization technique is presented to compute the switching angles in bipolar waveform. The simulation and hardware results are given to verify the robustness of the algorithm.",

keywords = "Genetic Algorithm, SHE pulse width modulation, Switching angles",

author = "Manita Kumari and Mohammad Ali and Salman Ahmad and Imtiaz Ashraf and Abdul Azeem and Mohd Tariq and Arif, \{M. Saad Bin\} and Atif Iqbal",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 ; Conference date: 16-11-2019 Through 17-11-2019",

year = "2019",

month = nov,

doi = "10.1109/ICPECA47973.2019.8975556",

language = "English",

series = "2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Kumari, M, Ali, M, Ahmad, S, Ashraf, I, Azeem, A, Tariq, M, Arif, MSB & Iqbal, A 2019, Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters. in 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings., 8975556, 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings, vol. 2019-November, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019, New Delhi, India, 16/11/19. https://doi.org/10.1109/ICPECA47973.2019.8975556

Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters. / Kumari, Manita; Ali, Mohammad; Ahmad, Salman et al.
2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8975556 (2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings; Vol. 2019-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters

AU - Kumari, Manita

AU - Ali, Mohammad

AU - Ahmad, Salman

AU - Ashraf, Imtiaz

AU - Azeem, Abdul

AU - Tariq, Mohd

AU - Arif, M. Saad Bin

AU - Iqbal, Atif

PY - 2019/11

Y1 - 2019/11

N2 - In medium voltage high power application of voltage source inverter (VSI), low switching frequency pulse width modulation (LSPWM) techniques offer better efficiency and better thermal management as the switching loss decreases drastically. The number of switching transitions are very limited, hence getting a good quality output waveform is a drawback in LSFPWM. To overcome this problem, selective harmonics elimination (SHE) PWM techniques are used to eliminate any desired harmonics from the output waveform by turning ON and OFF of semiconductor switches at predefined time. However, the main challenge in its implementation is to compute the exact instant of time to turn ON the switches. In this paper a Genetic Algorithm based optimization technique is presented to compute the switching angles in bipolar waveform. The simulation and hardware results are given to verify the robustness of the algorithm.

AB - In medium voltage high power application of voltage source inverter (VSI), low switching frequency pulse width modulation (LSPWM) techniques offer better efficiency and better thermal management as the switching loss decreases drastically. The number of switching transitions are very limited, hence getting a good quality output waveform is a drawback in LSFPWM. To overcome this problem, selective harmonics elimination (SHE) PWM techniques are used to eliminate any desired harmonics from the output waveform by turning ON and OFF of semiconductor switches at predefined time. However, the main challenge in its implementation is to compute the exact instant of time to turn ON the switches. In this paper a Genetic Algorithm based optimization technique is presented to compute the switching angles in bipolar waveform. The simulation and hardware results are given to verify the robustness of the algorithm.

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KW - SHE pulse width modulation

KW - Switching angles

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AN - SCOPUS:85084487190

T3 - 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings

BT - 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019

Y2 - 16 November 2019 through 17 November 2019

ER -

Kumari M, Ali M, Ahmad S, Ashraf I, Azeem A, Tariq M et al. Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters. In 2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8975556. (2019 International Conference on Power Electronics, Control and Automation, ICPECA 2019 - Proceedings). doi: 10.1109/ICPECA47973.2019.8975556

Genetic Algorithm based SHE-PWM for 1- ø and 3- ø Voltage Source Inverters

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this