基于遗传算法的非对称多电平逆变器电能质量增强

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT) Pub Date : 2016-03-18 DOI:10.1109/ICCPCT.2016.7530377

S. Suresh, S. Kannanand, B. Manikandan

{"title":"基于遗传算法的非对称多电平逆变器电能质量增强","authors":"S. Suresh, S. Kannanand, B. Manikandan","doi":"10.1109/ICCPCT.2016.7530377","DOIUrl":null,"url":null,"abstract":"This paper presents the performance and power quality analysis of Asymmetrical Cascaded Multilevel Inverter in terms of various parameters like voltage, current and Total Harmonic Distortion. Simulations of Asymmetrical Cascaded Multilevel Inverter are performed and analyzed for different levels of output voltages with harmonic profile. Genetic Algorithm is used to find out the switching angles at fundamental frequency through optimized harmonic elimination technique. From simulation and experimental results, Genetic Algorithm has improved the harmonic profile of voltage and current for various possible Modulation Index values. Experimental results are compared with the simulation results for showing reduction of lower order harmonics after applying Genetic Algorithm based switching angles. Improvement has been achieved in voltage and current waveform. Total Harmonic Distortion and switching losses have been measured for various Modulation Index values.","PeriodicalId":431894,"journal":{"name":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","volume":"405 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Power quality enhancement employing genetic algorithm based asymmetrical multilevel inverter\",\"authors\":\"S. Suresh, S. Kannanand, B. Manikandan\",\"doi\":\"10.1109/ICCPCT.2016.7530377\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the performance and power quality analysis of Asymmetrical Cascaded Multilevel Inverter in terms of various parameters like voltage, current and Total Harmonic Distortion. Simulations of Asymmetrical Cascaded Multilevel Inverter are performed and analyzed for different levels of output voltages with harmonic profile. Genetic Algorithm is used to find out the switching angles at fundamental frequency through optimized harmonic elimination technique. From simulation and experimental results, Genetic Algorithm has improved the harmonic profile of voltage and current for various possible Modulation Index values. Experimental results are compared with the simulation results for showing reduction of lower order harmonics after applying Genetic Algorithm based switching angles. Improvement has been achieved in voltage and current waveform. Total Harmonic Distortion and switching losses have been measured for various Modulation Index values.\",\"PeriodicalId\":431894,\"journal\":{\"name\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"volume\":\"405 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCPCT.2016.7530377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPCT.2016.7530377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

本文从电压、电流和总谐波畸变等参数出发，分析了非对称级联多电平逆变器的性能和电能质量。对不对称级联多电平逆变器进行了仿真，分析了不同电平的谐波输出电压。采用遗传算法，通过优化消谐波技术确定基频开关角。从仿真和实验结果来看，遗传算法改善了电压和电流在各种可能调制指数值下的谐波分布。将实验结果与仿真结果进行了比较，结果表明基于遗传算法的开关角减小了低阶谐波。在电压和电流波形方面进行了改进。测量了不同调制指数下的总谐波失真和开关损耗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Power quality enhancement employing genetic algorithm based asymmetrical multilevel inverter

This paper presents the performance and power quality analysis of Asymmetrical Cascaded Multilevel Inverter in terms of various parameters like voltage, current and Total Harmonic Distortion. Simulations of Asymmetrical Cascaded Multilevel Inverter are performed and analyzed for different levels of output voltages with harmonic profile. Genetic Algorithm is used to find out the switching angles at fundamental frequency through optimized harmonic elimination technique. From simulation and experimental results, Genetic Algorithm has improved the harmonic profile of voltage and current for various possible Modulation Index values. Experimental results are compared with the simulation results for showing reduction of lower order harmonics after applying Genetic Algorithm based switching angles. Improvement has been achieved in voltage and current waveform. Total Harmonic Distortion and switching losses have been measured for various Modulation Index values.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT)

自引率

0.00%

发文量