Overview
- Nominated as an outstanding PhD thesis by The University of Bologna, Italy
- Reports on an improved multilevel inverter based on Level Doubling Network (LDN)
- Presents an original implementation of the maximum power point tracking (MPPT) schemes
- Offers important insights into the stability and the dynamic performance of the ripple correlation control (RCC) MPPT algorithms
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
- Ripple Correlation Control (RCC) Algorithm
- Level Doubling Network (LDN) Multilevel Inverter
- LDN Input Current Harmonics
- DC-link Voltage Oscillations
- Analysis of Current Harmonics
- Design of DC-link Capacitor
- MPPT Algorithm for Photovoltaic System
- Maximum Power Point Tracking Algorithms
- Peak-to-peak Voltage Ripple
- Improving the Efficiency of PV Arrays
- H-bridge Cell
- Multiple Ripple Harmonics
About this book
This book describes an original improvement in power quality of photovoltaic generation systems obtained by the use of a multilevel inverter implemented with level doubling network (LDN). Modulation principles and harmonic analysis of output voltages are proposed and introduced in detail for both single and three-phase LDN configurations. The analysis is then extended to dc-link current and voltage, with emphasis to low-frequency harmonics and switching frequency ripple. This work represents the first comprehensive implementation of maximum power point tracking (MPPT) schemes using the ripple correlation control (RCC) algorithm in the presence of multiple ripple harmonics, such as in the case of multiÂlevel inverters. Numerical simulations and experimental tests are carefully reported here, together with practical insights into the design of dc-link capacitors.
Authors and Affiliations
Bibliographic Information
Book Title: Level Doubling Network and Ripple Correlation Control MPPT Algorithm for Grid-Connected Photovoltaic Systems
Authors: Manel Hammami
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-10492-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-10491-7Published: 23 January 2019
eBook ISBN: 978-3-030-10492-4Published: 04 January 2019
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XIII, 132
Topics: Power Electronics, Electrical Machines and Networks, Control and Systems Theory, Renewable and Green Energy