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.

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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
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

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