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Electrical Energy Flow Algorithm for Household, Street and Battery Charging in Smart Street Development

Author

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  • Rikin Tailor

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letna 9, 040 01 Kosice, Slovakia)

  • Zsolt Čonka

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letna 9, 040 01 Kosice, Slovakia)

  • Michal Kolcun

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letna 9, 040 01 Kosice, Slovakia)

  • Ľubomír Beňa

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Informatics (FEI), Technical University of Kosice, Letna 9, 040 01 Kosice, Slovakia
    Department of Power Electronics and Power Engineering, Rzeszow University of Technology, 35-959 Rzeszow, Poland)

Abstract

The world demands a smart and green future in every sector, which directly corresponds to increases in electrical energy demand one way or another. It is unfeasible to attain future energy demand with the present electrical infrastructure. That means more research and development is required. Future energy sources should be intermittent, and, in addition, the energy sector should be more inwards for distributed energy generation with demand side control. In such cases, the smartest and most autonomous system would be essential to deliver an adequate power supply with all electrical properties. A real-time monitoring and control system with a self-healing infrastructure is a forthcoming desideratum. By accepting these challenges, we have designed a smart street. The basic idea of the smart street is presented in this paper as a landing page; the paper is more focused on emphasizing information regarding the electrical energy flow algorithm for the household, street, and street battery storages. This algorithm is helpful for two-way energy flow and the automatic detection of islanding and the grid connection mode. It will be not only helpful for the users but to the utility as well.

Suggested Citation

  • Rikin Tailor & Zsolt Čonka & Michal Kolcun & Ľubomír Beňa, 2021. "Electrical Energy Flow Algorithm for Household, Street and Battery Charging in Smart Street Development," Energies, MDPI, vol. 14(13), pages 1-34, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3771-:d:580726
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    References listed on IDEAS

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    1. Nikoleta Andreadou & Miguel Olariaga Guardiola & Gianluca Fulli, 2016. "Telecommunication Technologies for Smart Grid Projects with Focus on Smart Metering Applications," Energies, MDPI, vol. 9(5), pages 1-35, May.
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    3. Fazel Mohammadi, 2021. "Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review," Energies, MDPI, vol. 14(5), pages 1-9, March.
    4. Sureshkumar, K. & Ponnusamy, Vijayakumar, 2019. "Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm," Energy, Elsevier, vol. 181(C), pages 1166-1178.
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    Cited by:

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