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Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration

Author

Listed:
  • Maël Riou

    (Entech Smart Energies, 29000 Quimper, France)

  • Florian Dupriez-Robin

    (France Energies Marines, 29280 Plouzané, France)

  • Dominique Grondin

    (ENERGY Lab—LE2P (FRH2 CNRS), 97744 Saint-Denis, France)

  • Christophe Le Loup

    (Entech Smart Energies, 29000 Quimper, France)

  • Michel Benne

    (ENERGY Lab—LE2P (FRH2 CNRS), 97744 Saint-Denis, France)

  • Quoc T. Tran

    (CEA Tech, 44340 Nantes, France)

Abstract

Microgrids operating on renewable energy resources have potential for powering rural areas located far from existing grid infrastructures. These small power systems typically host a hybrid energy system of diverse architecture and size. An effective integration of renewable energies resources requires careful design. Sizing methodologies often lack the consideration for reliability and this aspect is limited to power adequacy. There exists an inherent trade-off between renewable integration, cost, and reliability. To bridge this gap, a sizing methodology has been developed to perform multi-objective optimization, considering the three design objectives mentioned above. This method is based on the non-dominated sorting genetic algorithm (NSGA-II) that returns the set of optimal solutions under all objectives. This method aims to identify the trade-offs between renewable integration, reliability, and cost allowing to choose the adequate architecture and sizing accordingly. As a case study, we consider an autonomous microgrid, currently being installed in a rural area in Mali. The results show that increasing system reliability can be done at the least cost if carried out in the initial design stage.

Suggested Citation

  • Maël Riou & Florian Dupriez-Robin & Dominique Grondin & Christophe Le Loup & Michel Benne & Quoc T. Tran, 2021. "Multi-Objective Optimization of Autonomous Microgrids with Reliability Consideration," Energies, MDPI, vol. 14(15), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:15:p:4466-:d:600352
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    References listed on IDEAS

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    Cited by:

    1. Bo Hu & Nan Wang & Zaiming Yu & Yunqing Cao & Dongsheng Yang & Li Sun, 2021. "Optimal Operation of Multiple Energy System Based on Multi-Objective Theory and Grey Theory," Energies, MDPI, vol. 15(1), pages 1-21, December.
    2. Kizito, Rodney & Liu, Zeyu & Li, Xueping & Sun, Kai, 2022. "Multi-stage stochastic optimization of islanded utility-microgrids design after natural disasters," Operations Research Perspectives, Elsevier, vol. 9(C).

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