{"title":"基于遗传算法和粒子群优化的单相多电平逆变器谐波降频","authors":"C. W. Ling","doi":"10.5772/INTECHOPEN.74580","DOIUrl":null,"url":null,"abstract":"Inverter play important role in power system especially with it capability on reducing \nsystem size and increase efficient. Recent research trend of power electronics system \nare focusing on multilevel inverter topic in optimization on voltage output, reduce total \nharmonics distortion, modulation technique and switching configuration. Standalone \napplication multilevel inverter is high focused due to the rise of renewable energy \npolicy all around the world. Hence, this research emphasis on identify best topology \nof multilevel inverter and optimize it among the diode-clamped, capacitor clamped \nand cascaded H-bridge multilevel inverter to be used for standalone application in term \nof total harmonics distortion and voltage boosting capability. The first part of research \nthat is identify best topology multilevel inverter is applying sinusoidal pulse width \nmodulation technique. The result shown cascade H-bridge give the best output in both \ntotal harmonics distortion (9.27%) and fundamental component voltage (240 Vrms). \nThe research proceed with optimization with fundamental switching frequency method \nthat is optimized harmonic stepped waveform modulation method. The selective \nharmonics elimination calculation have adapt with genetic algorithm and particle \nswarm optimization in order to speed up the calculation. Both bio-inspired algorithm \nis compared in term of total harmonic distortion and selected harmonics elimination \nfor both equal and unequal sources. In overall result shown both algorithm have high \naccuracy in solving the non-linear equation. However, genetic algorithm shown better \noutput quality in term of selected harmonics elimination where overall no exceeding \n0.4%. Particle swarm optimization shows strength in finding best total harmonics \ndistortion where in 7-level cascaded H-bridge multilevel inverter (m=0.8) show 6.8% \nonly as compared to genetic algorithm. Simulation for 3-level, 5-level and 7-level for \neach multilevel inverter at different circumferences had been done in this research. The \nresult draw out a conclusion where the possibility of having a filterless high efficient \ninvert can be achieve.","PeriodicalId":313869,"journal":{"name":"Compendium of New Techniques in Harmonic Analysis","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Harmonic Reduction of a Single-Phase Multilevel Inverter Using Genetic Algorithm and Particle Swarm Optimization\",\"authors\":\"C. W. Ling\",\"doi\":\"10.5772/INTECHOPEN.74580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inverter play important role in power system especially with it capability on reducing \\nsystem size and increase efficient. Recent research trend of power electronics system \\nare focusing on multilevel inverter topic in optimization on voltage output, reduce total \\nharmonics distortion, modulation technique and switching configuration. Standalone \\napplication multilevel inverter is high focused due to the rise of renewable energy \\npolicy all around the world. Hence, this research emphasis on identify best topology \\nof multilevel inverter and optimize it among the diode-clamped, capacitor clamped \\nand cascaded H-bridge multilevel inverter to be used for standalone application in term \\nof total harmonics distortion and voltage boosting capability. The first part of research \\nthat is identify best topology multilevel inverter is applying sinusoidal pulse width \\nmodulation technique. The result shown cascade H-bridge give the best output in both \\ntotal harmonics distortion (9.27%) and fundamental component voltage (240 Vrms). \\nThe research proceed with optimization with fundamental switching frequency method \\nthat is optimized harmonic stepped waveform modulation method. The selective \\nharmonics elimination calculation have adapt with genetic algorithm and particle \\nswarm optimization in order to speed up the calculation. Both bio-inspired algorithm \\nis compared in term of total harmonic distortion and selected harmonics elimination \\nfor both equal and unequal sources. In overall result shown both algorithm have high \\naccuracy in solving the non-linear equation. However, genetic algorithm shown better \\noutput quality in term of selected harmonics elimination where overall no exceeding \\n0.4%. Particle swarm optimization shows strength in finding best total harmonics \\ndistortion where in 7-level cascaded H-bridge multilevel inverter (m=0.8) show 6.8% \\nonly as compared to genetic algorithm. Simulation for 3-level, 5-level and 7-level for \\neach multilevel inverter at different circumferences had been done in this research. The \\nresult draw out a conclusion where the possibility of having a filterless high efficient \\ninvert can be achieve.\",\"PeriodicalId\":313869,\"journal\":{\"name\":\"Compendium of New Techniques in Harmonic Analysis\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Compendium of New Techniques in Harmonic Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5772/INTECHOPEN.74580\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Compendium of New Techniques in Harmonic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5772/INTECHOPEN.74580","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Harmonic Reduction of a Single-Phase Multilevel Inverter Using Genetic Algorithm and Particle Swarm Optimization
Inverter play important role in power system especially with it capability on reducing
system size and increase efficient. Recent research trend of power electronics system
are focusing on multilevel inverter topic in optimization on voltage output, reduce total
harmonics distortion, modulation technique and switching configuration. Standalone
application multilevel inverter is high focused due to the rise of renewable energy
policy all around the world. Hence, this research emphasis on identify best topology
of multilevel inverter and optimize it among the diode-clamped, capacitor clamped
and cascaded H-bridge multilevel inverter to be used for standalone application in term
of total harmonics distortion and voltage boosting capability. The first part of research
that is identify best topology multilevel inverter is applying sinusoidal pulse width
modulation technique. The result shown cascade H-bridge give the best output in both
total harmonics distortion (9.27%) and fundamental component voltage (240 Vrms).
The research proceed with optimization with fundamental switching frequency method
that is optimized harmonic stepped waveform modulation method. The selective
harmonics elimination calculation have adapt with genetic algorithm and particle
swarm optimization in order to speed up the calculation. Both bio-inspired algorithm
is compared in term of total harmonic distortion and selected harmonics elimination
for both equal and unequal sources. In overall result shown both algorithm have high
accuracy in solving the non-linear equation. However, genetic algorithm shown better
output quality in term of selected harmonics elimination where overall no exceeding
0.4%. Particle swarm optimization shows strength in finding best total harmonics
distortion where in 7-level cascaded H-bridge multilevel inverter (m=0.8) show 6.8%
only as compared to genetic algorithm. Simulation for 3-level, 5-level and 7-level for
each multilevel inverter at different circumferences had been done in this research. The
result draw out a conclusion where the possibility of having a filterless high efficient
invert can be achieve.