A digital signal processor controlled smart battery charger for photovoltaic power systems

Muoka, P.I., Haque, M.E. and Gargoom, A. 2014, A digital signal processor controlled smart battery charger for photovoltaic power systems, Australian journal of electrical and electronics engineering, vol. 11, no. 4, pp. 400-410.

Attached Files
Name Description MIMEType Size Downloads

Title A digital signal processor controlled smart battery charger for photovoltaic power systems
Author(s) Muoka, P.I.
Haque, M.E.ORCID iD for Haque, M.E. orcid.org/0000-0002-8893-2181
Gargoom, A.ORCID iD for Gargoom, A. orcid.org/0000-0002-4635-4993
Journal name Australian journal of electrical and electronics engineering
Volume number 11
Issue number 4
Start page 400
End page 410
Total pages 11
Publisher Taylor & Francis
Place of publication Abingdon, Eng.
Publication date 2014
ISSN 1448-837X
2205-362X
Keyword(s) battery chargers
digital signal processor (DSP)
maximum power point tracking (MPPT)
photovoltaic systems
power converters
Summary An off-grid photovoltaic power system requires an energy storage system, especially batteries, for mitigation of variability and intermittency problems, and for assured service reliability and availability. The longevity and reliability of such batteries depend on the effectiveness of the charging system. This paper presents the modelling, simulation and hardware implementation of a four-stage switch-mode charger based on the single-ended primary inductance converter. The digital signal processor based controller implements algorithms for the system's power balance control, maximum power point tracking to improve charging speed and efficiency, four-stage optimal charging, and system's protection. The protection algorithm provides over-charge, overdischarge, over-temperature and short circuit protection capabilities. The proposed system has the following advantages: ability to continuously charge the batteries even at reduced solar irradiation, higher efficiency, and use of adaptive thermally compensated set points for optimum performance. A prototype is built and experimental results are presented to validate the simulation results.
Language eng
Field of Research 091302 Automation and Control Engineering
090601 Circuits and Systems
090602 Control Systems, Robotics and Automation
090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Institution of Engineers Australia
Persistent URL http://hdl.handle.net/10536/DRO/DU:30087046

Document type: Journal Article
Collection: School of Engineering
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 158 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 01 Dec 2016, 09:44:28 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.