IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i13p3771-d580726.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/13/3771/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/13/3771/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    2. Yazhou Jiang & Chen-Ching Liu & Yin Xu, 2016. "Smart Distribution Systems," Energies, MDPI, vol. 9(4), pages 1-20, April.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mircea Stefan Simoiu & Ioana Fagarasan & Stephane Ploix & Vasile Calofir, 2021. "Sizing and Management of an Energy System for a Metropolitan Station with Storage and Related District Energy Community," Energies, MDPI, vol. 14(18), pages 1-22, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sung-Won Park & Sung-Yong Son, 2017. "Cost Analysis for a Hybrid Advanced Metering Infrastructure in Korea," Energies, MDPI, vol. 10(9), pages 1-18, September.
    2. Das, Pronob & Das, Barun K. & Rahman, Mushfiqur & Hassan, Rakibul, 2022. "Evaluating the prospect of utilizing excess energy and creating employments from a hybrid energy system meeting electricity and freshwater demands using multi-objective evolutionary algorithms," Energy, Elsevier, vol. 238(PB).
    3. Payam Hanafizadeh & Parastou Hatami & Morteza Analoui & Amir Albadvi, 2021. "Business model innovation driven by the internet of things technology, in internet service providers’ business context," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1175-1243, December.
    4. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.
    5. Jiefeng Hu, 2017. "Coordinated Control and Fault Protection Investigation of a Renewable Energy Integration Facility with Solar PVs and a Micro-Turbine," Energies, MDPI, vol. 10(4), pages 1-13, March.
    6. Sheeraz Kirmani & Abdul Mazid & Irfan Ahmad Khan & Manaullah Abid, 2022. "A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    7. Ersen Akdeniz & Mustafa Bagriyanik, 2023. "A Preventive Control Approach for Power System Vulnerability Assessment and Predictive Stability Evaluation," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    8. Jamal, Raheela & Zhang, Junzhe & Men, Baohui & Khan, Noor Habib & Ebeed, Mohamed & Jamal, Tanzeela & Mohamed, Emad A., 2024. "Chaotic-quasi-oppositional-phasor based multi populations gorilla troop optimizer for optimal power flow solution," Energy, Elsevier, vol. 301(C).
    9. Nikoleta Andreadou & Evangelos Kotsakis & Marcelo Masera, 2018. "Smart Meter Traffic in a Real LV Distribution Network," Energies, MDPI, vol. 11(5), pages 1-27, May.
    10. van de Kaa, G. & Fens, T. & Rezaei, J. & Kaynak, D. & Hatun, Z. & Tsilimeni-Archangelidi, A., 2019. "Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 320-327.
    11. Papadimitrakis, M. & Giamarelos, N. & Stogiannos, M. & Zois, E.N. & Livanos, N.A.-I. & Alexandridis, A., 2021. "Metaheuristic search in smart grid: A review with emphasis on planning, scheduling and power flow optimization applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    12. Venkata Bandi & Tiia Sahrakorpi & Jukka V. Paatero & Risto Lahdelma, 2023. "Unveiling the Decision-Making Dilemmas in Mini-Grids: The Intricate Case of Smart Meters," Energies, MDPI, vol. 16(17), pages 1-22, August.
    13. Wang, Wei & Cova, Gregorio & Zio, Enrico, 2022. "A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    14. Mitra, Somalee & Chakraborty, Basab & Mitra, Pabitra, 2024. "Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions," Energy, Elsevier, vol. 289(C).
    15. Hamdi Abdi, 2022. "A Brief Review of Microgrid Surveys, by Focusing on Energy Management System," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    16. Ahir, Rajesh K. & Chakraborty, Basab, 2021. "A meta-analytic approach for determining the success factors for energy conservation," Energy, Elsevier, vol. 230(C).
    17. Maksymilian Kochański & Katarzyna Korczak & Tadeusz Skoczkowski, 2020. "Technology Innovation System Analysis of Electricity Smart Metering in the European Union," Energies, MDPI, vol. 13(4), pages 1-25, February.
    18. Omid Sadeghian & Behnam Mohammadi-Ivatloo & Fazel Mohammadi & Zulkurnain Abdul-Malek, 2022. "Protecting Power Transmission Systems against Intelligent Physical Attacks: A Critical Systematic Review," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    19. Gustavo L. Aschidamini & Gederson A. da Cruz & Mariana Resener & Maicon J. S. Ramos & Luís A. Pereira & Bibiana P. Ferraz & Sérgio Haffner & Panos M. Pardalos, 2022. "Expansion Planning of Power Distribution Systems Considering Reliability: A Comprehensive Review," Energies, MDPI, vol. 15(6), pages 1-29, March.
    20. Matteo Manganelli & Mario Nicodemo & Luigi D’Orazio & Laura Pimpinella & Maria Carmen Falvo, 2018. "Restoration of an Active MV Distribution Grid with a Battery ESS: A Real Case Study," Sustainability, MDPI, vol. 10(6), pages 1-17, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3771-:d:580726. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.