An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA

Setting reasonable circuit parameters is an important way to improve the quality of inverters, including waveform quality and power loss. In this paper, a circuit system of line voltage cascaded quasi-Z-source inverter (LVC-qZSI) is built. On this basis, the double frequency voltage ripple ratio and...

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Main Authors: Zhiyong Li, Shiping Pu, Yougen Chen, Renyong Wei
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/17/4391
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spelling doaj-50ffe31357134fadbf36bd93e08c44932020-11-25T04:00:52ZengMDPI AGEnergies1996-10732020-08-01134391439110.3390/en13174391An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FAZhiyong Li0Shiping Pu1Yougen Chen2Renyong Wei3School of Automation, Central South University, 932 South Lushan Road, Changsha 410083, ChinaSchool of Automation, Central South University, 932 South Lushan Road, Changsha 410083, ChinaSchool of Automation, Central South University, 932 South Lushan Road, Changsha 410083, ChinaSchool of Automation, Central South University, 932 South Lushan Road, Changsha 410083, ChinaSetting reasonable circuit parameters is an important way to improve the quality of inverters, including waveform quality and power loss. In this paper, a circuit system of line voltage cascaded quasi-Z-source inverter (LVC-qZSI) is built. On this basis, the double frequency voltage ripple ratio and power loss ratio are selected as optimization targets to establish a multi-objective optimization model of LVC-qZSI parameters. To simplify the calculation, an integration optimization strategy of LVC-qZSI parameters based on GRA-FA is proposed. Where, the grey relation analysis (GRA) is used to simplify the multi-objective optimization model. In GRA, the main influence factors are selected as optimization variables by considering the preference coefficient. Then, firefly algorithm (FA) is used to obtain the optimal solution of the multi-objective optimization model. In FA, the weights of objective functions are assigned based on the principle of information entropy. The analysis results are verified by simulation. Research results indicate that the optimization strategy can effectively reduce the double frequency voltage ripple ratio and power loss ratio. Therefore, the strategy proposed in this paper has a superior ability to optimize the parameters of LVC-qZSI, which is of great significance to the initial values setting.https://www.mdpi.com/1996-1073/13/17/4391LVC-qZSIGRA-FAparameter optimizationdouble frequency ripplepower loss
collection DOAJ
language English
format Article
sources DOAJ
author Zhiyong Li
Shiping Pu
Yougen Chen
Renyong Wei
spellingShingle Zhiyong Li
Shiping Pu
Yougen Chen
Renyong Wei
An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA
Energies
LVC-qZSI
GRA-FA
parameter optimization
double frequency ripple
power loss
author_facet Zhiyong Li
Shiping Pu
Yougen Chen
Renyong Wei
author_sort Zhiyong Li
title An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA
title_short An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA
title_full An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA
title_fullStr An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA
title_full_unstemmed An Integration Optimization Strategy of Line Voltage Cascaded Quasi-Z-Source Inverter Parameters Based on GRA-FA
title_sort integration optimization strategy of line voltage cascaded quasi-z-source inverter parameters based on gra-fa
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-08-01
description Setting reasonable circuit parameters is an important way to improve the quality of inverters, including waveform quality and power loss. In this paper, a circuit system of line voltage cascaded quasi-Z-source inverter (LVC-qZSI) is built. On this basis, the double frequency voltage ripple ratio and power loss ratio are selected as optimization targets to establish a multi-objective optimization model of LVC-qZSI parameters. To simplify the calculation, an integration optimization strategy of LVC-qZSI parameters based on GRA-FA is proposed. Where, the grey relation analysis (GRA) is used to simplify the multi-objective optimization model. In GRA, the main influence factors are selected as optimization variables by considering the preference coefficient. Then, firefly algorithm (FA) is used to obtain the optimal solution of the multi-objective optimization model. In FA, the weights of objective functions are assigned based on the principle of information entropy. The analysis results are verified by simulation. Research results indicate that the optimization strategy can effectively reduce the double frequency voltage ripple ratio and power loss ratio. Therefore, the strategy proposed in this paper has a superior ability to optimize the parameters of LVC-qZSI, which is of great significance to the initial values setting.
topic LVC-qZSI
GRA-FA
parameter optimization
double frequency ripple
power loss
url https://www.mdpi.com/1996-1073/13/17/4391
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