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A Cyber-Physical Residential Energy Management System via Virtualized Packets

Author

Listed:
  • Mauricio de Castro Tomé

    (Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland)

  • Pedro H. J. Nardelli

    (Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland
    School of Energy Systems, LUT University, 53850 Lappeenranta, Finland)

  • Hafiz Majid Hussain

    (School of Energy Systems, LUT University, 53850 Lappeenranta, Finland)

  • Sohail Wahid

    (School of Energy Systems, LUT University, 53850 Lappeenranta, Finland)

  • Arun Narayanan

    (School of Energy Systems, LUT University, 53850 Lappeenranta, Finland)

Abstract

This paper proposes a cyber-physical system to manage flexible residential loads based on virtualized energy packets. Before being used, flexible loads need to request packets to an energy server, which may be granted or not. If granted, the energy server guarantees that the request will be fulfilled. Each different load has a specific consumption profile and user requirement. In the proposed case study, the residential consumers share a pool of energy resources that need to be allocated by the energy server whose aim is to minimize the imports related to such a group. The proposed solution shows qualitative advantages compared to the existing approaches in relation to computational complexity, fairness of the resource allocation outcomes and effectiveness in peak reduction. We demonstrate our solution based on three different representative flexible loads; namely, electric vehicles, saunas and dishwashers. The numerical results show the efficacy of the proposed solution for three different representative examples, demonstrating the advantages and drawbacks of different allocation rules.

Suggested Citation

  • Mauricio de Castro Tomé & Pedro H. J. Nardelli & Hafiz Majid Hussain & Sohail Wahid & Arun Narayanan, 2020. "A Cyber-Physical Residential Energy Management System via Virtualized Packets," Energies, MDPI, vol. 13(3), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:699-:d:317115
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    References listed on IDEAS

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    1. Hua, Haochen & Qin, Yuchao & Hao, Chuantong & Cao, Junwei, 2019. "Optimal energy management strategies for energy Internet via deep reinforcement learning approach," Applied Energy, Elsevier, vol. 239(C), pages 598-609.
    2. Hong, Bowen & Zhang, Weitong & Zhou, Yue & Chen, Jian & Xiang, Yue & Mu, Yunfei, 2018. "Energy-Internet-oriented microgrid energy management system architecture and its application in China," Applied Energy, Elsevier, vol. 228(C), pages 2153-2164.
    3. Florian Kuhnlenz & Pedro H. J. Nardelli & Santtu Karhinen & Rauli Svento, 2017. "Implementing Flexible Demand: Real-time Price vs. Market Integration," Papers 1709.02667, arXiv.org, revised Feb 2018.
    4. Giotitsas, Chris & Pazaitis, Alex & Kostakis, Vasilis, 2015. "A peer-to-peer approach to energy production," Technology in Society, Elsevier, vol. 42(C), pages 28-38.
    5. Hafiz Majid Hussain & Nadeem Javaid & Sohail Iqbal & Qadeer Ul Hasan & Khursheed Aurangzeb & Musaed Alhussein, 2018. "An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid," Energies, MDPI, vol. 11(1), pages 1-28, January.
    6. Zhengqi Jiang & Vinit Sahasrabudhe & Ahmed Mohamed & Haim Grebel & Roberto Rojas-Cessa, 2019. "Greedy Algorithm for Minimizing the Cost of Routing Power on a Digital Microgrid," Energies, MDPI, vol. 12(16), pages 1-19, August.
    7. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    8. Kühnlenz, Florian & Nardelli, Pedro H.J. & Karhinen, Santtu & Svento, Rauli, 2018. "Implementing flexible demand: Real-time price vs. market integration," Energy, Elsevier, vol. 149(C), pages 550-565.
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    Cited by:

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