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Sustainable Intelligent Energy Management System for Microgrid Using Multi-Agent Systems: A Case Study

Author

Listed:
  • Meryem Hamidi

    (Electrical Engineering and Intelligent Systems Laboratory of ENSET, Hassan II University of Casablanca, Casablanca 20202, Morocco)

  • Abdelhadi Raihani

    (Electrical Engineering and Intelligent Systems Laboratory of ENSET, Hassan II University of Casablanca, Casablanca 20202, Morocco)

  • Omar Bouattane

    (Electrical Engineering and Intelligent Systems Laboratory of ENSET, Hassan II University of Casablanca, Casablanca 20202, Morocco)

Abstract

In this paper, a sustainable, intelligent energy management system for a microgrid based on a multi-agent system (MAS) is studied. The system is designed to address the challenges posed by the intermittence of renewable energy sources. Also, the system optimizes the use of available AC–DC renewable energy sources by utilizing load flexibility and the complementarity of renewable sources. To evaluate the effectiveness of this proposed multi-agent framework, a co-simulation using MATLAB and JADE platforms is conducted for a microgrid connected to the main grid. The results show that the proposed energy sharing system achieved over 82.34% of energy savings. This innovative solution has the potential to reduce the need for energy storage and improve energy efficiency while also reducing CO 2 emissions. It offers a promising sustainable development solution for managing and controlling MG. The proposed system contributes to the development of sustainable energy systems based on artificial intelligence to meet the global goals.

Suggested Citation

  • Meryem Hamidi & Abdelhadi Raihani & Omar Bouattane, 2023. "Sustainable Intelligent Energy Management System for Microgrid Using Multi-Agent Systems: A Case Study," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12546-:d:1219898
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    References listed on IDEAS

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    1. Won-Poong Lee & Jin-Young Choi & Dong-Jun Won, 2017. "Coordination Strategy for Optimal Scheduling of Multiple Microgrids Based on Hierarchical System," Energies, MDPI, vol. 10(9), pages 1-18, September.
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    3. Most Nahida Akter & Md Apel Mahmud & Amanullah Maung Than Oo, 2017. "A Hierarchical Transactive Energy Management System for Energy Sharing in Residential Microgrids," Energies, MDPI, vol. 10(12), pages 1-27, December.
    4. Carolin Monsberger & Bernadette Fina & Hans Auer, 2021. "Profitability of Energy Supply Contracting and Energy Sharing Concepts in a Neighborhood Energy Community: Business Cases for Austria," Energies, MDPI, vol. 14(4), pages 1-27, February.
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    Cited by:

    1. Lyu, Chenghao & Zhang, Yuchen & Bai, Yilin & Yang, Kun & Song, Zhengxiang & Ma, Yuhang & Meng, Jinhao, 2024. "Inner-outer layer co-optimization of sizing and energy management for renewable energy microgrid with storage," Applied Energy, Elsevier, vol. 363(C).
    2. Rahman, Md. Hasanur & Tanchangya, Tipon & Rahman, Junaid & Aktar, Most. Asikha & Majumder, Shapan Chandra, 2024. "Corporate social responsibility and green financing behavior in Bangladesh: Towards sustainable tourism," Innovation and Green Development, Elsevier, vol. 3(3).

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