Title : Declining multi inverter based total harmonic distribution with the aid of hybrid optimization technique

Type of Material: Thesis
Title: Declining multi inverter based total harmonic distribution with the aid of hybrid optimization technique
Researcher: BHARATH V S
Guide: M. Gopinath
Department: Department of Electrical and Electronics Engineering
Publisher: Bharath University, Chennai
Place: Chennai
Year: 2016
Language: English
Subject: Harmonic Distortion
Flying Capacitors
Electrical Engineering
Engineering and Technology
Dissertation/Thesis Note: PhD; Department of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai; 2016; D11EE004
Fulltext: Shodhganga

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040__|aBHAU_600073|dIN-AhILN
041__|aeng
100__|aBHARATH V S|eResearcher
110__|aDepartment of Electrical and Electronics Engineering|bBharath University, Chennai|dChennai|ein
245__|aDeclining multi inverter based total harmonic distribution with the aid of hybrid optimization technique
260__|aChennai|bBharath University, Chennai|c2016
300__|dDVD
502__|cDepartment of Electrical and Electronics Engineering, Bharath University, Chennai, Chennai|d2016|oD11EE004|bPhD
518__|oDate of Registration|d2011-05-30
520__|aMultilevel inverter is a device used for converting DC voltage to AC voltage. Multilevel inverters are a source of high power, often used in industrial applications and can use either sine or modified sine waves. Generally IGBT switches are used in the inverter to control this switching operation. Instead of using one converter to convert an AC current into a DC current, a multilevel inverter uses a series of semiconductor power converters (usually two to three) thus generating higher voltage. At the output of the multilevel inverter the sine wave form produces large harmonics. To reduce these harmonics at the output signal, the corresponding THD of switching angles must be reduced. Generally genetic algorithm is used for harmonic optimization. But the drawback is the cost function becomes more difficult to optimize and requires increased number of iterations. Hence to reduce the number of iteration we proposed a hybrid of Genetic algorithm and Particle swarm optimization algorithm to optimize the switching
650__|aElectrical Engineering|2UGC
650__|aEngineering and Technology|2AIU
653__|aHarmonic Distortion
653__|aFlying Capacitors
700__|aM. Gopinath|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/170912|yShodhganga
905__|afromsg

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