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2016 | OriginalPaper | Buchkapitel

A Genetic Optimized Cascade Multilevel Converter for Power Analysis

verfasst von : Jorge Luis Diaz-Rodriguez, Luis David Pabón-Fernández, Edison Andres Caicedo-Peñaranda, Aldo Pardo-G.

Erschienen in: Applied Computer Sciences in Engineering

Verlag: Springer International Publishing

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Abstract

This work presents a power converter prepared to easy modify its electrical connections in order to obtain all configurations possibilities of the cascaded multilevel power converter with four H-bridges. Allows to implement both sub-topologies: single CD source and separate DC source, with symmetrical and asymmetrical configurations until 81 voltage levels. All the modifications can be performed using a graphical user interface develop in Matlab^®. The modulations are optimized using a genetic algorithm and the system control is a FPGA. The power converter was developed mainly to performing power quality analysis.

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Vorheriges Kapitel Impact of Weight Initialization on Multilayer Perceptron Using Fuzzy Similarity Quality Measure

Nächstes Kapitel Proposal for a Hybrid Expert System and an Optimization Model for the Routing Problem in the Courier Services

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Titel: A Genetic Optimized Cascade Multilevel Converter for Power Analysis
verfasst von: Jorge Luis Diaz-Rodriguez
Luis David Pabón-Fernández
Edison Andres Caicedo-Peñaranda
Aldo Pardo-G.
Verlag: Springer International Publishing
Buch: Applied Computer Sciences in Engineering
Print ISBN: 978-3-319-50879-5

Electronic ISBN: 978-3-319-50880-1

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-50880-1_12

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