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Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation

Author

Listed:
  • Amir Ali Safaei Pirooz

    (Meteorology and Remote Sensing, National Institute of Water and Atmospheric Research (NIWA), Wellington 6241, New Zealand)

  • Mohammad J. Sanjari

    (School of Engineering and Built Environment, Griffith University, Gold Coast, QLD 4222, Australia)

  • Young-Jin Kim

    (Department of Electrical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea)

  • Stuart Moore

    (Meteorology and Remote Sensing, National Institute of Water and Atmospheric Research (NIWA), Wellington 6241, New Zealand)

  • Richard Turner

    (Meteorology and Remote Sensing, National Institute of Water and Atmospheric Research (NIWA), Wellington 6241, New Zealand)

  • Wayne W. Weaver

    (Mechanical Engineering-Engineering Mechanics Department, Michigan Technological University, Houghton, MI 49931, USA)

  • Dipti Srinivasan

    (Department of Electrical & Computer Engineering, National University of Singapore, Singapore 119228, Singapore)

  • Josep M. Guerrero

    (Faculty of Engineering and Science, Aalborg University, 9220 Aalborg, Denmark)

  • Mohammad Shahidehpour

    (Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL 60616, USA)

Abstract

Despite significant advances in distributed renewable energy systems (DRES), the technology still faces several substantial challenges that prevent the large-scale adoption of these systems into a country’s energy sector. The intermittency of renewables, uncertainties associated with real-time multi-horizon weather and load forecasts, and lack of comprehensive control systems are among the main technical and regulatory challenges for the real-world adoption of DRES. This paper outlines the current state of knowledge in the real-world operation of DRES and also describes pathways and methodologies that enable and facilitate the uptake of DRES in a country’s energy sector.

Suggested Citation

  • Amir Ali Safaei Pirooz & Mohammad J. Sanjari & Young-Jin Kim & Stuart Moore & Richard Turner & Wayne W. Weaver & Dipti Srinivasan & Josep M. Guerrero & Mohammad Shahidehpour, 2023. "Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation," Energies, MDPI, vol. 16(8), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3477-:d:1124749
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