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Multi-agent energy management of smart islands using primal-dual method of multipliers

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  • Mohamed, Mohamed A.
  • Jin, Tao
  • Su, Wencong

Abstract

This paper basically concentrates on providing an appropriate distributed-based energy management framework in smart islands. Smart island is defined as insular territory with the ability to implement integrated solutions to the management of infrastructures and natural resources. The distributed optimization is accomplished by using primal-dual method of multipliers which has shown more promising performance in terms of execution time and convergence rate compared to the alternating-direction method of multipliers. The proposed energy management scheme is carried out between 5 different agents including an energy hub, a networked multi-microgrid with 3 agents and a transportation system. The transportation system comprises of the subway system and plug-in electric vehicles. The proposed networked multi-microgrid is made up of 3 microgrid systems, each one comprises of wind generation units, photovoltaic units and a tidal unit. Despite the assumption that the agents are both suppliers and consumers of energy and are completely operated and separated from the other sections, they share energy through a peer-to-peer energy trading. Such sharing scheme will be ended up by obtaining an equilibrium point through which a consensus is reached and all the parties are satisfied. Results prove the validity of the proposed approach in providing a proper energy negotiation framework in a smart island in terms of accuracy and applicability.

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  • Mohamed, Mohamed A. & Jin, Tao & Su, Wencong, 2020. "Multi-agent energy management of smart islands using primal-dual method of multipliers," Energy, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:energy:v:208:y:2020:i:c:s0360544220314134
    DOI: 10.1016/j.energy.2020.118306
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    7. Pinto, Giuseppe & Kathirgamanathan, Anjukan & Mangina, Eleni & Finn, Donal P. & Capozzoli, Alfonso, 2022. "Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures," Applied Energy, Elsevier, vol. 310(C).
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    9. Yu, Vincent F. & Le, Thi Huynh Anh & Gupta, Jatinder N.D., 2022. "Sustainable microgrid design with multiple demand areas and peer-to-peer energy trading involving seasonal factors and uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    10. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K. & Yuen, Chau & Smith, David, 2022. "Peer-to-peer kilowatt and negawatt trading: A review of challenges and recent advances in distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    11. Gorbatcheva, Anna & Watson, Nicole & Schneiders, Alexandra & Shipworth, David & Fell, Michael J., 2024. "Defining characteristics of peer-to-peer energy trading, transactive energy, and community self-consumption: A review of literature and expert perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    12. Deng, Xinchen & Wang, Feng & Lin, Xianke & Hu, Bing & Arash, Khalatbarisoltan & Hu, Xiaosong, 2022. "Distributed energy management of home-vehicle Nexus with Stationary battery energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    13. Hussain, Sadam & Azim, M. Imran & Lai, Chunyan & Eicker, Ursula, 2023. "New coordination framework for smart home peer-to-peer trading to reduce impact on distribution transformer," Energy, Elsevier, vol. 284(C).
    14. Khalid Alnowibet & Andres Annuk & Udaya Dampage & Mohamed A. Mohamed, 2021. "Effective Energy Management via False Data Detection Scheme for the Interconnected Smart Energy Hub–Microgrid System under Stochastic Framework," Sustainability, MDPI, vol. 13(21), pages 1-32, October.
    15. Fahd A. Alturki & Emad Mahrous Awwad, 2021. "Sizing and Cost Minimization of Standalone Hybrid WT/PV/Biomass/Pump-Hydro Storage-Based Energy Systems," Energies, MDPI, vol. 14(2), pages 1-20, January.
    16. Berna-Escriche, César & Rivera, Yago & Alvarez-Piñeiro, Lucas & Muñoz-Cobo, José Luis, 2024. "Best estimate plus uncertainty methodology for forecasting electrical balances in isolated grids: The decarbonized Canary Islands by 2040," Energy, Elsevier, vol. 294(C).

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