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An Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid

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  • Bouthaina El Barkouki

    (Green Energy Park, Regional Road Kelaa Km 3, R206, Benguerir 43150, Morocco
    Engineering for Smart and Sustainable Systems Research Centre, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat 10090, Morocco)

  • Mohamed Laamim

    (Green Energy Park, Regional Road Kelaa Km 3, R206, Benguerir 43150, Morocco
    LSIB Laboratory, FST, University of Hassan II, Mohammedia 28806, Morocco)

  • Abdelilah Rochd

    (Green Energy Park, Regional Road Kelaa Km 3, R206, Benguerir 43150, Morocco
    Electrical Engineering and Intelligent Systems Laboratory, ENSET Mohammedia, Hassan II University of Casablanca, Mohammedia 28830, Morocco)

  • Jae-won Chang

    (Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea)

  • Aboubakr Benazzouz

    (Green Energy Park, Regional Road Kelaa Km 3, R206, Benguerir 43150, Morocco)

  • Mohammed Ouassaid

    (Engineering for Smart and Sustainable Systems Research Centre, Mohammadia School of Engineers, Mohammed V University in Rabat, Rabat 10090, Morocco)

  • Moses Kang

    (Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea)

  • Hakgeun Jeong

    (Korea Institute of Energy Research, 152 Gajeong-ro, Yuseong-gu, Daejeon 34129, Republic of Korea)

Abstract

Energy storage systems are an effective solution to manage the intermittency of renewable energies, balance supply, and demand. Numerous studies recommend adopting a shared energy storage system (ESS) as opposed to multiple single ESSs because of their high prices and inefficiency. Thus, this study examines a shared storage system in a grid-connected microgrid. By modifying the power outputs of the energy resources, this work intends to implement an economic dispatch of a shared ESS in order to satisfy the power balance and lower the overall cost of electricity. In this context, an optimization problem was formulated and developed using a mixed-integer linear programming (MILP) model. Furthermore, a pilot project (the Solar Decathlon Africa Village) in the Green & Smart Building Park (GSBP), Benguerir, Morocco, was employed to evaluate and verify the proposed approach. Some comparable scenarios were therefore run in a MATLAB environment. The collected findings demonstrate the efficacy of the developed algorithm in terms of optimizing energy cost reductions and enhancing the integration of renewable resources into the Moroccan energy mix.

Suggested Citation

  • Bouthaina El Barkouki & Mohamed Laamim & Abdelilah Rochd & Jae-won Chang & Aboubakr Benazzouz & Mohammed Ouassaid & Moses Kang & Hakgeun Jeong, 2023. "An Economic Dispatch for a Shared Energy Storage System Using MILP Optimization: A Case Study of a Moroccan Microgrid," Energies, MDPI, vol. 16(12), pages 1-19, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4601-:d:1166998
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    References listed on IDEAS

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    1. Fatima Zahra Zahraoui & Mehdi Et-taoussi & Houssam Eddine Chakir & Hamid Ouadi & Brahim Elbhiri, 2023. "Bellman–Genetic Hybrid Algorithm Optimization in Rural Area Microgrids," Energies, MDPI, vol. 16(19), pages 1-26, September.

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