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A novel Zigbee-based data acquisition system for distributed photovoltaic generation in smart grid


Citation

Islam, Syed Zahurul and Mariun, Norman and Kah, Leong and Hizam, Hashim and Othman, Mohammad Lutfi and Zainal Abidin, Izham and Yap, Norman (2015) A novel Zigbee-based data acquisition system for distributed photovoltaic generation in smart grid. In: 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 3-6 Nov. 2015, Bangkok, Thailand. .

Abstract

Distributed photovoltaic (PV) power plant monitoring is one of the crucial aspects for energy forecasting and demand management in the future smart grid (SG) through establishing low-powered communication technology. In this paper, Zigbee wireless technology is considered for AC electrical parameters' monitoring of the distributed PV plant located at Universiti Putra Malaysia (UPM). For this consideration, relevant measurement circuits, Arduino UNO embedded board, and Zigbee radio are interfaced to create a wireless (WS)-node for installing in the PV inverter. In addition, a LabVIEW program is implemented and linked to Microsoft Access Database (MS Access DB) at the control center server system for the Zigbee-based wireless data acquisition, storage, and monitoring. The obtained data from the developed system are also validated with the actual PV generation. The results are found comparable and it also reveals that low-powered Zigbee is ideal for monitoring the distributed PV generation where the data delivery requirement is not urgent.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Centre for Advanced Power and Energy Research
Faculty of Engineering
DOI Number: https://doi.org/10.1109/ISGT-Asia.2015.7387097
Publisher: IEEE
Keywords: Database; Photovoltaic module; Smart grid; Wireless network; Zigbee
Depositing User: Nabilah Mustapa
Date Deposited: 21 Jun 2016 04:52
Last Modified: 21 Jun 2016 04:52
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISGT-Asia.2015.7387097
URI: http://psasir.upm.edu.my/id/eprint/47618
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