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  • 标题:Big Data Solutions for Efficient Operation of Microgrids
  • 本地全文:下载
  • 作者:Simona Vasilica Oprea ; Adela Bâra
  • 期刊名称:Ovidius University Annals: Economic Sciences Series
  • 电子版ISSN:2393-3127
  • 出版年度:2019
  • 卷号:19
  • 期号:1
  • 语种:English
  • 出版社:Ovidius University Press
  • 摘要: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.
  • 关键词:big data;demand response;distributed generation;sensors
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