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Implementation of Load Control for Smart Metering in Smart Grids

Implementation of Load Control for Smart Metering in Smart Grids

Abdelmadjid Recioui, Fatma Zohra Dekhandji
Copyright: © 2022 |Pages: 38
ISBN13: 9781668436660|ISBN10: 1668436663|EISBN13: 9781668436677
DOI: 10.4018/978-1-6684-3666-0.ch007
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MLA

Recioui, Abdelmadjid, and Fatma Zohra Dekhandji. "Implementation of Load Control for Smart Metering in Smart Grids." Research Anthology on Smart Grid and Microgrid Development, edited by Information Resources Management Association, IGI Global, 2022, pp. 127-164. https://doi.org/10.4018/978-1-6684-3666-0.ch007

APA

Recioui, A. & Dekhandji, F. Z. (2022). Implementation of Load Control for Smart Metering in Smart Grids. In I. Management Association (Ed.), Research Anthology on Smart Grid and Microgrid Development (pp. 127-164). IGI Global. https://doi.org/10.4018/978-1-6684-3666-0.ch007

Chicago

Recioui, Abdelmadjid, and Fatma Zohra Dekhandji. "Implementation of Load Control for Smart Metering in Smart Grids." In Research Anthology on Smart Grid and Microgrid Development, edited by Information Resources Management Association, 127-164. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-3666-0.ch007

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Abstract

The conventional energy meters are not suitable for long operating purposes as they spend much human and material resources. Smart meters, on the other hand, are devices that perform advanced functions including electrical energy consumption recording of residential/industrial users, billing, real-time monitoring, and load balancing. In this chapter, a smart home prototype is designed and implemented. Appliances are powered by the grid during daytime, and a photovoltaic panel stored power during the night or in case of an electricity outage. Second, consumed power from both sources is sensed and further processed for cumulative energy, cost calculations and bill establishment for different proposed scenarios using LABVIEW software. Data are communicated using a USB data acquisition card (DAQ-USB 6008). Finally, a simulation framework using LABVIEW software models four houses each equipped with various appliances. The simulator predicts different power consumption profiles to seek of peak-demand reduction through a load control process.

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