eCite Digital Repository
Modeling and experimental validation of a DSP controlled photovoltaic power system with battery energy storage
Citation
Muoka, PI and Haque, ME and Gargoom, A and Negnevitsky, M, Modeling and experimental validation of a DSP controlled photovoltaic power system with battery energy storage, Proceedings of the Power and Energy Society General Meeting, 21-25 July 2013, Vancouver, Canada, pp. 1-5. ISSN 1944-9925 (2013) [Refereed Conference Paper]
Copyright Statement
Copyright 2013 IEEE
DOI: doi:10.1109/PESMG.2013.6672761
Abstract
For photovoltaic (PV) energy system integration to the power grid, knowledge of its operating characteristics is invaluable to power engineers. Such knowledge can effectively be achieved via system modeling, simulation and experimental
studies. This paper develops models for an integrated PV power system which comprises PV array, SEPIC (single ended primary inductance converter) converter, bidirectional dc-dc converter, dc-ac converter, and battery energy storage using
Matlab/Simulink. The models are used for simulation studies to investigate: 1) the response of the system to the ever-changing environmental variables, 2) the ability to track the maximum power point, 3) the role of the battery energy storage in the mitigation of voltage and power oscillations, and 4) the role of the inverter in ensuring compliance to the grid requirements. To validate the simulation results, the converters and sensor boards are built and a DSP (digital signal processor) controller is used to implement the control functions.
Item Details
Item Type: | Refereed Conference Paper |
---|---|
Keywords: | bidirectional converter, dc-dc power converter, inverter, maximum power point tracking (MPPT), and modeling |
Research Division: | Engineering |
Research Group: | Electrical engineering |
Research Field: | Electrical energy generation (incl. renewables, excl. photovoltaics) |
Objective Division: | Energy |
Objective Group: | Energy exploration |
Objective Field: | Energy exploration not elsewhere classified |
UTAS Author: | Muoka, PI (Mr Polycarp Muoka) |
UTAS Author: | Haque, ME (Dr Md Enamul Haque) |
UTAS Author: | Gargoom, A (Dr Ameen Gargoom) |
UTAS Author: | Negnevitsky, M (Professor Michael Negnevitsky) |
ID Code: | 88221 |
Year Published: | 2013 |
Deposited By: | Engineering |
Deposited On: | 2014-01-21 |
Last Modified: | 2017-11-06 |
Downloads: | 1 View Download Statistics |
Repository Staff Only: item control page