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Microgrid Energy Management and Methods for Managing Forecast Uncertainties

Author

Listed:
  • Shanmugarajah Vinothine

    (Department of Electrical Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

  • Lidula N. Widanagama Arachchige

    (Department of Electrical Engineering, University of Moratuwa, Moratuwa 10400, Sri Lanka)

  • Athula D. Rajapakse

    (Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada)

  • Roshani Kaluthanthrige

    (Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB R3T 2N2, Canada)

Abstract

The rising demand for electricity, economic benefits, and environmental pressures related to the use of fossil fuels are driving electricity generation mostly from renewable energy sources. One of the main challenges in renewable energy generation is uncertainty involved in forecasting because of the intermittent nature of renewable sources. The demand also varies according to the time of day, the season, the location, the climate, and the availability of resources. Microgrids offer a potential solution for the integration of small-scale renewable energy sources and loads along with energy storage systems and other non-renewable sources. However, intermittent generation and varying demand need to be matched to provide stable power to consumers. Therefore, it is crucial to design an energy management system to effectively manage the energy sources and supply loads for reliable and efficient operation. This paper reviews different techniques proposed in the literature to achieve the objectives of a microgrid energy management system. The benefits of existing energy management systems and their challenges are also discussed. The challenges associated with uncertainties and methods to overcome them are critically reviewed.

Suggested Citation

  • Shanmugarajah Vinothine & Lidula N. Widanagama Arachchige & Athula D. Rajapakse & Roshani Kaluthanthrige, 2022. "Microgrid Energy Management and Methods for Managing Forecast Uncertainties," Energies, MDPI, vol. 15(22), pages 1-22, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8525-:d:972783
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    References listed on IDEAS

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    1. Ahmed Sulaiman Alsafran, 2023. "A Feasibility Study of Implementing IEEE 1547 and IEEE 2030 Standards for Microgrid in the Kingdom of Saudi Arabia," Energies, MDPI, vol. 16(4), pages 1-15, February.

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