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Cooperation in microgrids through power exchange: An optimal sizing and operation approach

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  • Zenginis, Ioannis
  • Vardakas, John S.
  • Echave, Cynthia
  • Morató, Moisés
  • Abadal, Jordi
  • Verikoukis, Christos V.

Abstract

This paper proposes a novel model for the optimal design and power management of a microgrid. The key objective of the proposed model is to indicate the benefits of cooperation in terms of energy cost savings, carbon emission reduction and provision of energy self-sufficiency. The proposed cooperative configuration considers that buildings with different load patterns exchange power through a common DC bus, so that an optimum utilization of the energy generated by local renewables is achieved. The problem of selecting the optimal capacities of photovoltaic arrays, energy storage systems and inverters, as well as of determining the optimal daily power operation plan is formulated as a mixed integer linear programming problem, where the objective function is optimized based on the Nash bargain method. The impact of the daily scheduling of the energy storage systems and electric vehicles, as well as the impact of power exchanges on the equipment sizing and vice versa is also highlighted. We demonstrate the applicability and effectiveness of the proposed cooperative system on a representative Superblock of Barcelona; the results indicate that the proposed approach achieves significant operation cost (15.7%) and carbon emissions (12.9% in average) reduction compared to the case where no power exchange occurs.

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  • Zenginis, Ioannis & Vardakas, John S. & Echave, Cynthia & Morató, Moisés & Abadal, Jordi & Verikoukis, Christos V., 2017. "Cooperation in microgrids through power exchange: An optimal sizing and operation approach," Applied Energy, Elsevier, vol. 203(C), pages 972-981.
  • Handle: RePEc:eee:appene:v:203:y:2017:i:c:p:972-981
    DOI: 10.1016/j.apenergy.2017.07.110
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    4. Walker, Shalika & Labeodan, Timilehin & Boxem, Gert & Maassen, Wim & Zeiler, Wim, 2018. "An assessment methodology of sustainable energy transition scenarios for realizing energy neutral neighborhoods," Applied Energy, Elsevier, vol. 228(C), pages 2346-2360.
    5. Fan, Songli & Ai, Qian & Piao, Longjian, 2018. "Bargaining-based cooperative energy trading for distribution company and demand response," Applied Energy, Elsevier, vol. 226(C), pages 469-482.
    6. dos Santos Neto, Pedro J. & Barros, Tárcio A.S. & Silveira, Joao P.C. & Ruppert Filho, Ernesto & Vasquez, Juan C. & Guerrero, Josep M., 2020. "Power management techniques for grid-connected DC microgrids: A comparative evaluation," Applied Energy, Elsevier, vol. 269(C).
    7. Daniel Reich & Giovanna Oriti, 2021. "Rightsizing the Design of a Hybrid Microgrid," Energies, MDPI, vol. 14(14), pages 1-22, July.
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    10. Du, Yan & Wang, Zhiwei & Liu, Guangyi & Chen, Xi & Yuan, Haoyu & Wei, Yanli & Li, Fangxing, 2018. "A cooperative game approach for coordinating multi-microgrid operation within distribution systems," Applied Energy, Elsevier, vol. 222(C), pages 383-395.
    11. Vahabi, Ali Reza & Latify, Mohammad Amin & Rahimiyan, Morteza & Yousefi, G. Reza, 2018. "An equitable and efficient energy management approach for a cluster of interconnected price responsive demands," Applied Energy, Elsevier, vol. 219(C), pages 276-289.
    12. Chai, Merlin & Bonthapalle, Dastagiri Reddy & Sobrayen, Lingeshwaren & Panda, Sanjib K. & Wu, Die & Chen, XiaoQing, 2018. "Alternating current and direct current-based electrical systems for marine vessels with electric propulsion drives," Applied Energy, Elsevier, vol. 231(C), pages 747-756.
    13. Han, Dongho & Lee, Jay H., 2021. "Two-stage stochastic programming formulation for optimal design and operation of multi-microgrid system using data-based modeling of renewable energy sources," Applied Energy, Elsevier, vol. 291(C).
    14. Janko, Samantha A. & Johnson, Nathan G., 2018. "Scalable multi-agent microgrid negotiations for a transactive energy market," Applied Energy, Elsevier, vol. 229(C), pages 715-727.
    15. Chen, Xia & Zhou, Jianyu & Shi, Mengxuan & Chen, Yin & Wen, Jinyu, 2022. "Distributed resilient control against denial of service attacks in DC microgrids with constant power load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    16. Comodi, Gabriele & Bartolini, Andrea & Carducci, Francesco & Nagaranjan, Balamurugan & Romagnoli, Alessandro, 2019. "Achieving low carbon local energy communities in hot climates by exploiting networks synergies in multi energy systems," Applied Energy, Elsevier, vol. 256(C).

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