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OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration

Author

Listed:
  • Angelina D. Bintoudi

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Lampros Zyglakis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Apostolos C. Tsolakis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Paschalis A. Gkaidatzis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Athanasios Tryferidis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Dimosthenis Ioannidis

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

  • Dimitrios Tzovaras

    (Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece)

Abstract

As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly schedule the overall operation. To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation. In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in terms of economic benefit and energy management. To assess the solution, the designed framework has been deployed to a real-life microgrid establishment consisting of residential loads, a PV array and a storage unit. Results demonstrate not only the benefits of the day-ahead optimal scheduling, but also the importance of dynamic re-optimisation when deviations occur between forecasted and real-time values. Given the intermittency of PV generation as well as the stochastic nature of consumption, real-time adaptation leads to significantly improved results.

Suggested Citation

  • Angelina D. Bintoudi & Lampros Zyglakis & Apostolos C. Tsolakis & Paschalis A. Gkaidatzis & Athanasios Tryferidis & Dimosthenis Ioannidis & Dimitrios Tzovaras, 2021. "OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration," Energies, MDPI, vol. 14(10), pages 1-19, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2752-:d:552371
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    References listed on IDEAS

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    Cited by:

    1. Yuriy Bilan & Marcin Rabe & Katarzyna Widera, 2022. "Distributed Energy Resources: Operational Benefits," Energies, MDPI, vol. 15(23), pages 1-7, November.
    2. Behzad Zargar & Ting Wang & Manuel Pitz & Rainer Bachmann & Moritz Maschmann & Angelina Bintoudi & Lampros Zyglakis & Ferdinanda Ponci & Antonello Monti & Dimosthenis Ioannidis, 2021. "Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles," Energies, MDPI, vol. 14(12), pages 1-26, June.
    3. Amrutha Raju Battula & Sandeep Vuddanti & Surender Reddy Salkuti, 2021. "Review of Energy Management System Approaches in Microgrids," Energies, MDPI, vol. 14(17), pages 1-32, September.

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