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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 and Electronic Engineering
Research Field:Renewable Power and Energy Systems Engineering (excl. Solar Cells)
Objective Division:Energy
Objective Group:Energy Exploration
Objective Field:Energy Exploration not elsewhere classified
Author:Muoka, PI (Mr Polycarp Muoka)
Author:Haque, ME (Dr Md Enamul Haque)
Author:Gargoom, A (Dr Ameen Gargoom)
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
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