Big Data Solutions for Efficient Operation of Microgrids

Simona Vasilica Oprea () and Adela Bâra ()
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Simona Vasilica Oprea: The Bucharest University of Economic Studies
Adela Bâra: The Bucharest University of Economic Studies

Ovidius University Annals, Economic Sciences Series, 2019, vol. XIX, issue 1, 266-271

Abstract: In this paper, we propose a big data solution architecture for the efficient operation of the microgrids that have emerged as a consequence of distributed generation, storage systems and advances of ICT technologies. The main goal is to develop a smart adaptive platform for Big Data analytics for microgrids efficient operation that involves monitoring and control of electrical appliances, generation and storage activities, demand response and market mechanisms. The platform essentially necessitates Big Data solutions that will process, manage and analyze large volumes of data generated by microgrids and modern appliances (IoT & sensors), small- and mid-scale generators based on renewable energy sources such as photovoltaic panels (PV) or micro-wind turbines which are integrated with storage devices (banks of batteries), smart loads, Electric Vehicles (EV) stations, settlement mechanisms and market trading activities.

Keywords: big data; demand response; distributed generation; sensors (search for similar items in EconPapers)
JEL-codes: C55 C8 P28 Q41 Q42 Q47 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:ovi:oviste:v:xix:y:2019:i:1:p:266-271

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