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Big Data Solutions for Efficient Operation of Microgrids

Author

Listed:
  • Simona Vasilica Oprea

    (The Bucharest University of Economic Studies)

  • Adela Bâra

    (The Bucharest University of Economic Studies)

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.

Suggested Citation

  • Simona Vasilica Oprea & Adela Bâra, 2019. "Big Data Solutions for Efficient Operation of Microgrids," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 266-271, August.
    • Handle: RePEc:ovi:oviste:v:xix:y:2019:i:1:p:266-271
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    References listed on IDEAS

    as
    1. Rubén Pérez-Chacón & José M. Luna-Romera & Alicia Troncoso & Francisco Martínez-Álvarez & José C. Riquelme, 2018. "Big Data Analytics for Discovering Electricity Consumption Patterns in Smart Cities," Energies, MDPI, vol. 11(3), pages 1-19, March.
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    More about this item

    Keywords

    big data; demand response; distributed generation; sensors;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • P28 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Natural Resources; Environment
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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