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Optimal design of PV and hybrid storage based microgrids for healthcare and government facilities connected to highly intermittent utility grids

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  • León, L.M.
  • Romero-Quete, D.
  • Merchán, N.
  • Cortés, C.A.

Abstract

This paper proposes an improved methodology for the optimal sizing of small-scale microgrids conformed by photovoltaic (PV) generation systems and hybrid energy storage systems (batteries + supercapacitors). The methodology is based on a Mixed-Integer Linear Programming (MILP) formulation and includes a new way to take advantage of the aging model of the batteries to determine when these storage assets should be replaced. Moreover, the proposed sizing tool offers the possibility of including supercapacitors (SCs) in a microgrid’s design to reduce battery degradation. The tool was put to test by sizing the microgrids for a hospital and a government building in Puerto Carreño, a non-interconnected area in Colombia. A comparison between the proposed methodology and another without considering battery degradation, along with a sensitivity analysis of the storage-acquisition cost parameter in this tool, revealed its usefulness for this kind of microgrid design.

Suggested Citation

  • León, L.M. & Romero-Quete, D. & Merchán, N. & Cortés, C.A., 2023. "Optimal design of PV and hybrid storage based microgrids for healthcare and government facilities connected to highly intermittent utility grids," Applied Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:appene:v:335:y:2023:i:c:s0306261923000739
    DOI: 10.1016/j.apenergy.2023.120709
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    References listed on IDEAS

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    2. Cui, Shiting & Wu, Jun & Gao, Yao & Zhu, Ruijin, 2023. "A high altitude prosumer energy cooperation framework considering composite energy storage sharing and electric‑oxygen‑hydrogen flexible supply," Applied Energy, Elsevier, vol. 349(C).
    3. Cui, Shiting & Zhu, Ruijin & Wu, Jun, 2024. "A double layer energy cooperation framework for prosumer groups in high altitude areas," Renewable Energy, Elsevier, vol. 224(C).
    4. Guangheng Qi & Ning Ma & Kai Wang, 2024. "Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions," Energies, MDPI, vol. 17(11), pages 1-18, May.
    5. Cui, Shiting & Gao, Yao & Zhu, Ruijin, 2024. "A new integrated energy system cluster energy sharing framework adapted to high altitude areas," Applied Energy, Elsevier, vol. 366(C).
    6. Mohammed Abdullah H. Alshehri & Youguang Guo & Gang Lei, 2023. "Renewable-Energy-Based Microgrid Design and Feasibility Analysis for King Saud University Campus, Riyadh," Sustainability, MDPI, vol. 15(13), pages 1-24, July.
    7. Ahmed Al Mansur & Md. Ruhul Amin & Molla Shahadat Hossain Lipu & Md. Imamul Islam & Ratil H. Ashique & Zubaeer Bin Shams & Mohammad Asif ul Haq & Md. Hasan Maruf & ASM Shihavuddin, 2023. "The Effects of Non-Uniformly-Aged Photovoltaic Array on Mismatch Power Loss: A Practical Investigation towards Novel Hybrid Array Configurations," Sustainability, MDPI, vol. 15(17), pages 1-17, September.
    8. Diego Mendoza Osorio & Javier Rosero Garcia, 2023. "Convex Stochastic Approaches for the Optimal Allocation of Distributed Energy Resources in AC Distribution Networks with Measurements Fitted to a Continuous Probability Distribution Function," Energies, MDPI, vol. 16(14), pages 1-27, July.
    9. Ahmed S. Menesy & Hamdy M. Sultan & Ibrahim O. Habiballah & Hasan Masrur & Kaisar R. Khan & Muhammad Khalid, 2023. "Optimal Configuration of a Hybrid Photovoltaic/Wind Turbine/Biomass/Hydro-Pumped Storage-Based Energy System Using a Heap-Based Optimization Algorithm," Energies, MDPI, vol. 16(9), pages 1-26, April.

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