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Improving the Sustainability of Self-Consumption with Cooperative DC Microgrids

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  • Carlos Roldán-Porta

    (Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, s/n, edificio 8E, escalera F, 5ª planta, 46022 Valencia, Spain)

  • Carlos Roldán-Blay

    (Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, s/n, edificio 8E, escalera F, 5ª planta, 46022 Valencia, Spain)

  • Guillermo Escrivá-Escrivá

    (Institute for Energy Engineering, Universitat Politècnica de València, Camino de Vera, s/n, edificio 8E, escalera F, 5ª planta, 46022 Valencia, Spain)

  • Eduardo Quiles

    (Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

Abstract

The development of microgrids is of great interest to facilitate the integration of distributed generation in electricity networks, improving the sustainability of energy production. Microgrids in DC (DC-MG) provide advantages for the use of some types of renewable generation and energy storage systems, such as batteries. In this article, a possible practical implementation of an isolated DC-MG for residential use with a cooperative operation of the different nodes is proposed. The main criterion is to achieve a very simple design with only primary control in a residential area. This application achieves a simple system, with low implementation costs, in which each user has autonomy but benefits from the support of the other users connected to the microgrid, which improves its reliability. The description of the elements necessary to create this cooperative system is one of the contributions of the work. Another important contribution is the analysis of the operation of the microgrid as a whole, where each node can be, arbitrarily, a consumer or an energy generator. The proposed structures could promote the use of small distributed generation and energy storage systems as the basis for a new paradigm of a more sustainable electricity grid of the future.

Suggested Citation

  • Carlos Roldán-Porta & Carlos Roldán-Blay & Guillermo Escrivá-Escrivá & Eduardo Quiles, 2019. "Improving the Sustainability of Self-Consumption with Cooperative DC Microgrids," Sustainability, MDPI, vol. 11(19), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5472-:d:273054
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    1. Morris Brenna & Federica Foiadelli & Michela Longo & Tamrat Demllie Abegaz, 2016. "Integration and Optimization of Renewables and Storages for Rural Electrification," Sustainability, MDPI, vol. 8(10), pages 1-18, September.
    2. Yajing Gao & Huaxin Cheng & Jing Zhu & Haifeng Liang & Peng Li, 2016. "The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather," Sustainability, MDPI, vol. 8(1), pages 1-22, January.
    3. Zhang, Guidong & Li, Zhong & Zhang, Bo & Halang, Wolfgang A., 2018. "Power electronics converters: Past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2028-2044.
    4. Barreto, Raul A., 2018. "Fossil fuels, alternative energy and economic growth," Economic Modelling, Elsevier, vol. 75(C), pages 196-220.
    5. Wang, Jing-Yi & Qian, Zheng & Zareipour, Hamidreza & Wood, David, 2018. "Performance assessment of photovoltaic modules based on daily energy generation estimation," Energy, Elsevier, vol. 165(PB), pages 1160-1172.
    6. Akbar Maleki & Marc A. Rosen & Fathollah Pourfayaz, 2017. "Optimal Operation of a Grid-Connected Hybrid Renewable Energy System for Residential Applications," Sustainability, MDPI, vol. 9(8), pages 1-20, July.
    7. Khalid, Muhammad & Ahmadi, Abdollah & Savkin, Andrey V. & Agelidis, Vassilios G., 2016. "Minimizing the energy cost for microgrids integrated with renewable energy resources and conventional generation using controlled battery energy storage," Renewable Energy, Elsevier, vol. 97(C), pages 646-655.
    8. Paska, Józef & Biczel, Piotr & Kłos, Mariusz, 2009. "Hybrid power systems – An effective way of utilising primary energy sources," Renewable Energy, Elsevier, vol. 34(11), pages 2414-2421.
    9. Ren, Lingyu & Qin, Yanyuan & Li, Yan & Zhang, Peng & Wang, Bing & Luh, Peter B. & Han, Song & Orekan, Taofeek & Gong, Tao, 2018. "Enabling resilient distributed power sharing in networked microgrids through software defined networking," Applied Energy, Elsevier, vol. 210(C), pages 1251-1265.
    10. Yanbo Che & Jinhuan Zhou & Tingjun Lin & Wenxun Li & Jianmei Xu, 2018. "A Simplified Control Method for Tie-Line Power of DC Micro-Grid," Energies, MDPI, vol. 11(4), pages 1-13, April.
    11. Yuansheng Huang & Lei Yang & Shijian Liu & Guangli Wang, 2018. "Cooperation between Two Micro-Grids Considering Power Exchange: An Optimal Sizing Approach Based on Collaborative Operation," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    12. Justo, Jackson John & Mwasilu, Francis & Lee, Ju & Jung, Jin-Woo, 2013. "AC-microgrids versus DC-microgrids with distributed energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 387-405.
    13. Shuai, Zhikang & Fang, Junbin & Ning, Fenggen & Shen, Z. John, 2018. "Hierarchical structure and bus voltage control of DC microgrid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3670-3682.
    14. Arnau González & Jordi-Roger Riba & Antoni Rius, 2015. "Optimal Sizing of a Hybrid Grid-Connected Photovoltaic–Wind–Biomass Power System," Sustainability, MDPI, vol. 7(9), pages 1-20, September.
    15. Van den Broeck, Giel & Stuyts, Jeroen & Driesen, Johan, 2018. "A critical review of power quality standards and definitions applied to DC microgrids," Applied Energy, Elsevier, vol. 229(C), pages 281-288.
    16. Mahdavyfakhr, Mohammad & Rashidirad, Nasim & Hamzeh, Mohsen & Sheshyekani, Keyhan & Afjei, Ebrahim, 2017. "Stability improvement of DC grids involving a large number of parallel solar power optimizers: An active damping approach," Applied Energy, Elsevier, vol. 203(C), pages 364-372.
    17. Yuan-Chih Chang & Hao-Chin Chang & Chien-Yu Huang, 2018. "Design and Implementation of the Battery Energy Storage System in DC Micro-Grid Systems," Energies, MDPI, vol. 11(6), pages 1-8, June.
    18. Kasaei, Mohammad Javad & Gandomkar, Majid & Nikoukar, Javad, 2017. "Optimal management of renewable energy sources by virtual power plant," Renewable Energy, Elsevier, vol. 114(PB), pages 1180-1188.
    19. González, Arnau & Riba, Jordi-Roger & Rius, Antoni & Puig, Rita, 2015. "Optimal sizing of a hybrid grid-connected photovoltaic and wind power system," Applied Energy, Elsevier, vol. 154(C), pages 752-762.
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    1. Eduardo Quiles & Carlos Roldán-Blay & Guillermo Escrivá-Escrivá & Carlos Roldán-Porta, 2020. "Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability," Sustainability, MDPI, vol. 12(3), pages 1-18, February.

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