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Energy management in a domestic microgrid by means of model predictive controllers

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  • Bruni, G.
  • Cordiner, S.
  • Mulone, V.
  • Sinisi, V.
  • Spagnolo, F.

Abstract

The need to increase renewable energy sources deployment and to reduce consumption of fossil fuels has led to the diffusion of small-scale DG (Distributed Generation) systems, which may be effectively integrated in micro-grids. The role of control logic in defining microgrid performances and reliability is predominant and can be improved by using advanced control logics such as the ones based on MPC (Model Predictive Control).

Suggested Citation

  • Bruni, G. & Cordiner, S. & Mulone, V. & Sinisi, V. & Spagnolo, F., 2016. "Energy management in a domestic microgrid by means of model predictive controllers," Energy, Elsevier, vol. 108(C), pages 119-131.
    • Handle: RePEc:eee:energy:v:108:y:2016:i:c:p:119-131
    DOI: 10.1016/j.energy.2015.08.004
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    1. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. Parisio, Alessandra & Rikos, Evangelos & Tzamalis, George & Glielmo, Luigi, 2014. "Use of model predictive control for experimental microgrid optimization," Applied Energy, Elsevier, vol. 115(C), pages 37-46.
    3. Abdollahzadeh, M. & Pascoa, J.C. & Ranjbar, A.A. & Esmaili, Q., 2014. "Analysis of PEM (Polymer Electrolyte Membrane) fuel cell cathode two-dimensional modeling," Energy, Elsevier, vol. 68(C), pages 478-494.
    4. Menon, Ramanunni P. & Paolone, Mario & Maréchal, François, 2013. "Study of optimal design of polygeneration systems in optimal control strategies," Energy, Elsevier, vol. 55(C), pages 134-141.
    5. Kriett, Phillip Oliver & Salani, Matteo, 2012. "Optimal control of a residential microgrid," Energy, Elsevier, vol. 42(1), pages 321-330.
    6. Carton, J.G. & Lawlor, V. & Olabi, A.G. & Hochenauer, C. & Zauner, G., 2012. "Water droplet accumulation and motion in PEM (Proton Exchange Membrane) fuel cell mini-channels," Energy, Elsevier, vol. 39(1), pages 63-73.
    7. Wang, Yun & Chen, Ken S. & Mishler, Jeffrey & Cho, Sung Chan & Adroher, Xavier Cordobes, 2011. "A review of polymer electrolyte membrane fuel cells: Technology, applications, and needs on fundamental research," Applied Energy, Elsevier, vol. 88(4), pages 981-1007, April.
    8. Ou, Ting-Chia & Hong, Chih-Ming, 2014. "Dynamic operation and control of microgrid hybrid power systems," Energy, Elsevier, vol. 66(C), pages 314-323.
    9. Niknam, Taher & Golestaneh, Faranak & Malekpour, Ahmadreza, 2012. "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational," Energy, Elsevier, vol. 43(1), pages 427-437.
    10. Bruni, G. & Cordiner, S. & Mulone, V., 2014. "Domestic distributed power generation: Effect of sizing and energy management strategy on the environmental efficiency of a photovoltaic-battery-fuel cell system," Energy, Elsevier, vol. 77(C), pages 133-143.
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    6. Bartolucci, Lorenzo & Cordiner, Stefano & Mulone, Vincenzo & Rocco, Vittorio & Rossi, Joao Luis, 2018. "Hybrid renewable energy systems for renewable integration in microgrids: Influence of sizing on performance," Energy, Elsevier, vol. 152(C), pages 744-758.
    7. Heyam Al-Najjar & Christoph Pfeifer & Rafat Al Afif & Hala J. El-Khozondar, 2022. "Performance Evaluation of a Hybrid Grid-Connected Photovoltaic Biogas-Generator Power System," Energies, MDPI, vol. 15(9), pages 1-22, April.
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    9. Sarah Ouédraogo & Ghjuvan Antone Faggianelli & Guillaume Pigelet & Jean Laurent Duchaud & Gilles Notton, 2020. "Application of Optimal Energy Management Strategies for a Building Powered by PV/Battery System in Corsica Island," Energies, MDPI, vol. 13(17), pages 1-20, September.
    10. Pipicelli, Michele & Muccillo, Massimiliano & Gimelli, Alfredo, 2023. "Influence of the control strategy on the performance of hybrid polygeneration energy system using a prescient model predictive control," Applied Energy, Elsevier, vol. 329(C).
    11. Li, Xiaolong & Xie, Changjun & Quan, Shuhai & Huang, Liang & Fang, Wei, 2018. "Energy management strategy of thermoelectric generation for localized air conditioners in commercial vehicles based on 48 V electrical system," Applied Energy, Elsevier, vol. 231(C), pages 887-900.
    12. Germán Ramos Ruiz & Eva Lucas Segarra & Carlos Fernández Bandera, 2018. "Model Predictive Control Optimization via Genetic Algorithm Using a Detailed Building Energy Model," Energies, MDPI, vol. 12(1), pages 1-18, December.
    13. Felix Garcia-Torres & Ascension Zafra-Cabeza & Carlos Silva & Stephane Grieu & Tejaswinee Darure & Ana Estanqueiro, 2021. "Model Predictive Control for Microgrid Functionalities: Review and Future Challenges," Energies, MDPI, vol. 14(5), pages 1-26, February.
    14. e Silva, Danilo P. & Félix Salles, José L. & Fardin, Jussara F. & Rocha Pereira, Maxsuel M., 2020. "Management of an island and grid-connected microgrid using hybrid economic model predictive control with weather data," Applied Energy, Elsevier, vol. 278(C).
    15. Zhan, Sicheng & Chong, Adrian, 2021. "Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    16. Tabar, Vahid Sohrabi & Jirdehi, Mehdi Ahmadi & Hemmati, Reza, 2017. "Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option," Energy, Elsevier, vol. 118(C), pages 827-839.
    17. Totaro, Simone & Boukas, Ioannis & Jonsson, Anders & Cornélusse, Bertrand, 2021. "Lifelong control of off-grid microgrid with model-based reinforcement learning," Energy, Elsevier, vol. 232(C).

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