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Optimal Coordinated Planning of Energy Storage and Tie-Lines to Boost Flexibility with High Wind Power Integration

Author

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  • Fahad Alismail

    (Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    Center for Environment & Water, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran 31261, Saudi Arabia
    K.A.CARE Energy Research & Innovation Center, Dhahran 31261, Saudi Arabia)

  • Mohamed A. Abdulgalil

    (Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia)

  • Muhammad Khalid

    (Electrical Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia
    K.A.CARE Energy Research & Innovation Center, Dhahran 31261, Saudi Arabia)

Abstract

Since renewable power is intermittent and uncertain, modern grid systems need to be more elegant to provide a reliable, affordable, and sustainable power supply. This paper introduces a robust optimal planning strategy to find the location and the size of an energy storage system (ESS) and feeders. It aims to accommodate the wind power energy integration to serve the future demand growth under uncertainties. The methodology was tested in the IEEE RTS-96 system and the simulation results demonstrate the effectiveness of the proposed optimal sizing strategy. The findings validate the improvements in the power system reliability and flexibility.

Suggested Citation

  • Fahad Alismail & Mohamed A. Abdulgalil & Muhammad Khalid, 2021. "Optimal Coordinated Planning of Energy Storage and Tie-Lines to Boost Flexibility with High Wind Power Integration," Sustainability, MDPI, vol. 13(5), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2526-:d:506325
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    References listed on IDEAS

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    Cited by:

    1. Abdul Rauf & Mahmoud Kassas & Muhammad Khalid, 2022. "Data-Driven Optimal Battery Storage Sizing for Grid-Connected Hybrid Distributed Generations Considering Solar and Wind Uncertainty," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
    2. Motaeb Eid Alshammari & Makbul A. M. Ramli & Ibrahim M. Mehedi, 2022. "Hybrid Chaotic Maps-Based Artificial Bee Colony for Solving Wind Energy-Integrated Power Dispatch Problem," Energies, MDPI, vol. 15(13), pages 1-26, June.

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