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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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    1. Stadler, Michael & Cardoso, Gonçalo & Mashayekh, Salman & Forget, Thibault & DeForest, Nicholas & Agarwal, Ankit & Schönbein, Anna, 2016. "Value streams in microgrids: A literature review," Applied Energy, Elsevier, vol. 162(C), pages 980-989.
    2. Erdinc, Ozan, 2014. "Economic impacts of small-scale own generating and storage units, and electric vehicles under different demand response strategies for smart households," Applied Energy, Elsevier, vol. 126(C), pages 142-150.
    3. Marzband, Mousa & Ghadimi, Majid & Sumper, Andreas & Domínguez-García, José Luis, 2014. "Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode," Applied Energy, Elsevier, vol. 128(C), pages 164-174.
    4. Hans-W. Micklitz & Lucia A. Reisch & Fernando Gomez, 2017. "Editorial to a Special Section," Journal of Consumer Policy, Springer, vol. 40(2), pages 177-177, June.
    5. Tan, Sieting & Yang, Jin & Yan, Jinyue & Lee, Chewtin & Hashim, Haslenda & Chen, Bin, 2017. "A holistic low carbon city indicator framework for sustainable development," Applied Energy, Elsevier, vol. 185(P2), pages 1919-1930.
    6. Marzband, Mousa & Sumper, Andreas & Ruiz-Álvarez, Albert & Domínguez-García, José Luis & Tomoiagă, Bogdan, 2013. "Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets," Applied Energy, Elsevier, vol. 106(C), pages 365-376.
    7. Zhang, Di & Samsatli, Nouri J. & Hawkes, Adam D. & Brett, Dan J.L. & Shah, Nilay & Papageorgiou, Lazaros G., 2013. "Fair electricity transfer price and unit capacity selection for microgrids," Energy Economics, Elsevier, vol. 36(C), pages 581-593.
    8. Mehleri, Eugenia D. & Sarimveis, Haralambos & Markatos, Nikolaos C. & Papageorgiou, Lazaros G., 2012. "A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level," Energy, Elsevier, vol. 44(1), pages 96-104.
    9. Kamel, Rashad M. & Nagasaka, Ken, 2015. "Effect of load type on standalone micro grid fault performance," Applied Energy, Elsevier, vol. 160(C), pages 532-540.
    10. Zenginis, Ioannis & Vardakas, John S. & Zorba, Nizar & Verikoukis, Christos V., 2016. "Analysis and quality of service evaluation of a fast charging station for electric vehicles," Energy, Elsevier, vol. 112(C), pages 669-678.
    11. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
    12. Barker, Terry & Junankar, Sudhir & Pollitt, Hector & Summerton, Philip, 2007. "Carbon leakage from unilateral Environmental Tax Reforms in Europe, 1995-2005," Energy Policy, Elsevier, vol. 35(12), pages 6281-6292, December.
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    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. Wang, Haiyang & Li, Ke & Zhang, Chenghui & Chen, Jianfei, 2024. "Capacity and operation joint optimization for integrated energy system based on Nash bargaining game," Energy, Elsevier, vol. 305(C).
    7. 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).
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    11. 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.
    12. 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.
    13. 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.
    14. 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).
    15. 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.
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