Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm

Abstract Minimizing total harmonic distortion (THD) with less system complexity and computation time is a stringent constraint for many power systems. The multilevel inverter can have low THD when switching angles are selected at the fundamental frequency. For low-order harmonic minimization, select...

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Main Authors: Muhammad Salman, Inzamam Ul Haq, Tanvir Ahmad, Haider Ali, Affaq Qamar, Abdul Basit, Murad Khan, Javed Iqbal
Format: Article
Language:English
Published: SpringerOpen 2020-03-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13638-020-01686-5
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author Muhammad Salman
Inzamam Ul Haq
Tanvir Ahmad
Haider Ali
Affaq Qamar
Abdul Basit
Murad Khan
Javed Iqbal
author_facet Muhammad Salman
Inzamam Ul Haq
Tanvir Ahmad
Haider Ali
Affaq Qamar
Abdul Basit
Murad Khan
Javed Iqbal
author_sort Muhammad Salman
collection DOAJ
description Abstract Minimizing total harmonic distortion (THD) with less system complexity and computation time is a stringent constraint for many power systems. The multilevel inverter can have low THD when switching angles are selected at the fundamental frequency. For low-order harmonic minimization, selective harmonic elimination (SHE) is the most adopted and proficient technique but it involves the non-linear transcendental equations which are very difficult to solve analytically and numerically. This paper proposes a genetic algorithm (GA)-based optimization technique to minimize the THD of cascaded H-bridge multilevel inverter. The GA is the finest approach for solving such complex equations by obtaining optimized switching angles. The switching angles are calculated by the genetic algorithm by solving the nonlinear transcendental equations. This paper has modeled and simulated a five-level inverter in MATLAB Simulink. The THD comparison is carried out between step modulation method and optimization method. The results reveal that THD has been reduced from 17.88 to 16.74% while third and fifth harmonics have been reduced from 3.24%, 3.7% to 0.84% and 3.3%, respectively. The optimization method along with LC filter significantly improves the power quality providing a complete sinusoidal signal for varying load.
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spelling doaj.art-958f304f2d2e490f93e8c8ba9fc3f6b52022-12-21T18:47:10ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992020-03-012020111210.1186/s13638-020-01686-5Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithmMuhammad Salman0Inzamam Ul Haq1Tanvir Ahmad2Haider Ali3Affaq Qamar4Abdul Basit5Murad Khan6Javed Iqbal7US Pakistan Center for Advanced Studies in Energy, UET PeshawarUS Pakistan Center for Advanced Studies in Energy, UET PeshawarUS Pakistan Center for Advanced Studies in Energy, UET PeshawarDepartment of Electrical and Electronic Engineering Technology, UOT NowsheraUS Pakistan Center for Advanced Studies in Energy, UET PeshawarUS Pakistan Center for Advanced Studies in Energy, UET PeshawarDepartment of Electrical Engineering, Sarhad University of Science ITDepartment of Electrical Engineering, Sarhad University of Science ITAbstract Minimizing total harmonic distortion (THD) with less system complexity and computation time is a stringent constraint for many power systems. The multilevel inverter can have low THD when switching angles are selected at the fundamental frequency. For low-order harmonic minimization, selective harmonic elimination (SHE) is the most adopted and proficient technique but it involves the non-linear transcendental equations which are very difficult to solve analytically and numerically. This paper proposes a genetic algorithm (GA)-based optimization technique to minimize the THD of cascaded H-bridge multilevel inverter. The GA is the finest approach for solving such complex equations by obtaining optimized switching angles. The switching angles are calculated by the genetic algorithm by solving the nonlinear transcendental equations. This paper has modeled and simulated a five-level inverter in MATLAB Simulink. The THD comparison is carried out between step modulation method and optimization method. The results reveal that THD has been reduced from 17.88 to 16.74% while third and fifth harmonics have been reduced from 3.24%, 3.7% to 0.84% and 3.3%, respectively. The optimization method along with LC filter significantly improves the power quality providing a complete sinusoidal signal for varying load.http://link.springer.com/article/10.1186/s13638-020-01686-5Total harmonic distortionMultilevel inverterSelective harmonic eliminationGenetic algorithmMATLAB simulink
spellingShingle Muhammad Salman
Inzamam Ul Haq
Tanvir Ahmad
Haider Ali
Affaq Qamar
Abdul Basit
Murad Khan
Javed Iqbal
Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
EURASIP Journal on Wireless Communications and Networking
Total harmonic distortion
Multilevel inverter
Selective harmonic elimination
Genetic algorithm
MATLAB simulink
title Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
title_full Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
title_fullStr Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
title_full_unstemmed Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
title_short Minimization of total harmonic distortions of cascaded H-bridge multilevel inverter by utilizing bio inspired AI algorithm
title_sort minimization of total harmonic distortions of cascaded h bridge multilevel inverter by utilizing bio inspired ai algorithm
topic Total harmonic distortion
Multilevel inverter
Selective harmonic elimination
Genetic algorithm
MATLAB simulink
url http://link.springer.com/article/10.1186/s13638-020-01686-5
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