IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i22p4342-d286967.html
   My bibliography  Save this article

Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data

Author

Listed:
  • Michal Ptacek

    (Department of Electrical Power Engineering, Brno University of Technology, Technicka 12, 61600 Brno, Czech Republic)

  • Vaclav Vycital

    (Department of Electrical Power Engineering, Brno University of Technology, Technicka 12, 61600 Brno, Czech Republic)

  • Petr Toman

    (Department of Electrical Power Engineering, Brno University of Technology, Technicka 12, 61600 Brno, Czech Republic)

  • Jan Vaculik

    (E.ON Distribuce, a.s., Hady 2, 61400 Brno, Czech Republic)

Abstract

The technical and economic aspects and the possibility of the mesh network topology offering many radial configurations lead to the fact that large municipal networks are generally under radial operation. However, it is very important to analyze the operation and control of the mesh networks, especially in terms of their safety and durability and in the frame of the smart grid concept, respectively. The article deals with the analysis of the operation of the dense-mesh municipal distribution network of E.ON Distribuce a.s. based on the long-term data from power quality monitors. It also shows a brief view of the current lack of data usability from monitors installed in distribution networks in the context of smart grid.

Suggested Citation

  • Michal Ptacek & Vaclav Vycital & Petr Toman & Jan Vaculik, 2019. "Analysis of Dense-Mesh Distribution Network Operation Using Long-Term Monitoring Data," Energies, MDPI, vol. 12(22), pages 1-25, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4342-:d:286967
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/22/4342/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/22/4342/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dileep, G., 2020. "A survey on smart grid technologies and applications," Renewable Energy, Elsevier, vol. 146(C), pages 2589-2625.
    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. Boris Cintula & Žaneta Eleschová & Matej Cenký & Peter Janiga & Jozef Bendík & Anton Beláň, 2021. "Three-Phase and Single-Phase Measurement of Overhead Power Line Impedance Evaluation," Energies, MDPI, vol. 14(19), pages 1-24, October.
    2. Juan-José González de-la-Rosa & Manuel Pérez-Donsión, 2020. "Special Issue “Analysis for Power Quality Monitoring”," Energies, MDPI, vol. 13(3), pages 1-6, January.
    3. Shahid Nawaz Khan & Syed Ali Abbas Kazmi & Abdullah Altamimi & Zafar A. Khan & Mohammed A. Alghassab, 2022. "Smart Distribution Mechanisms—Part I: From the Perspectives of Planning," Sustainability, MDPI, vol. 14(23), pages 1-109, December.

    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. Hafize Nurgul Durmus Senyapar & Ramazan Bayindir, 2023. "The Research Agenda on Smart Grids: Foresights for Social Acceptance," Energies, MDPI, vol. 16(18), pages 1-31, September.
    2. Marques, Vítor & Costa, Paulo Moisés & Bento, Nuno, 2022. "Greater than the sum: On regulating innovation in electricity distribution networks with externalities," Utilities Policy, Elsevier, vol. 79(C).
    3. Reda El Makroum & Ahmed Khallaayoun & Rachid Lghoul & Kedar Mehta & Wilfried Zörner, 2023. "Home Energy Management System Based on Genetic Algorithm for Load Scheduling: A Case Study Based on Real Life Consumption Data," Energies, MDPI, vol. 16(6), pages 1-18, March.
    4. Antonio E. Saldaña-González & Andreas Sumper & Mònica Aragüés-Peñalba & Miha Smolnikar, 2020. "Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review," Energies, MDPI, vol. 13(14), pages 1-34, July.
    5. Chongchong Xu & Zhicheng Liao & Chaojie Li & Xiaojun Zhou & Renyou Xie, 2022. "Review on Interpretable Machine Learning in Smart Grid," Energies, MDPI, vol. 15(12), pages 1-31, June.
    6. Helder Pereira & Bruno Ribeiro & Luis Gomes & Zita Vale, 2022. "Smart Grid Ecosystem Modeling Using a Novel Framework for Heterogenous Agent Communities," Sustainability, MDPI, vol. 14(23), pages 1-20, November.
    7. Shruti & Shalli Rani & Aman Singh & Reem Alkanhel & Dina S. M. Hassan, 2023. "SDAFA: Secure Data Aggregation in Fog-Assisted Smart Grid Environment," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    8. Ángeles Verdejo-Espinosa & Macarena Espinilla-Estévez & Francisco Mata Mata, 2020. "Smart Grids and Their Role in Transforming Human Activities—A Systematic Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    9. Aiman J. Albarakati & Mohamed Azeroual & Younes Boujoudar & Lahcen EL Iysaouy & Ayman Aljarbouh & Asifa Tassaddiq & Hassane EL Markhi, 2022. "Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System," Energies, MDPI, vol. 16(1), pages 1-16, December.
    10. Jiatong Chen & Bin Bao & Jinlong Liu & Yufei Wu & Quan Wang, 2022. "Pendulum Energy Harvesters: A Review," Energies, MDPI, vol. 15(22), pages 1-26, November.
    11. Alberto Fichera & Elisa Marrasso & Maurizio Sasso & Rosaria Volpe, 2020. "Energy, Environmental and Economic Performance of an Urban Community Hybrid Distributed Energy System," Energies, MDPI, vol. 13(10), pages 1-19, May.
    12. Yan Chen & Dezhao Lin & Qi Meng & Zengfu Liang & Zhixiang Tan, 2023. "Named Entity Identification in the Power Dispatch Domain Based on RoBERTa-Attention-FL Model," Energies, MDPI, vol. 16(12), pages 1-13, June.
    13. Ammar Albayati & Nor Fadzilah Abdullah & Asma Abu-Samah & Ammar Hussein Mutlag & Rosdiadee Nordin, 2020. "A Serverless Advanced Metering Infrastructure Based on Fog-Edge Computing for a Smart Grid: A Comparison Study for Energy Sector in Iraq," Energies, MDPI, vol. 13(20), pages 1-22, October.
    14. Shahzad Aslam & Nasir Ayub & Umer Farooq & Muhammad Junaid Alvi & Fahad R. Albogamy & Gul Rukh & Syed Irtaza Haider & Ahmad Taher Azar & Rasool Bukhsh, 2021. "Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid," Sustainability, MDPI, vol. 13(22), pages 1-28, November.
    15. Rubens A. Fernandes & Raimundo C. S. Gomes & Ozenir Dias & Celso Carvalho & Israel G. Torné & Jozias P. Oliveira & Carlos T. C. Júnior, 2022. "A Retrofit Strategy for Real-Time Monitoring of Building Electrical Circuits Based on the SmartLVGrid Metamodel," Energies, MDPI, vol. 15(23), pages 1-31, December.
    16. Mimica, Marko & Dominković, Dominik Franjo & Capuder, Tomislav & Krajačić, Goran, 2021. "On the value and potential of demand response in the smart island archipelago," Renewable Energy, Elsevier, vol. 176(C), pages 153-168.
    17. Nuria Novas & Alfredo Alcayde & Isabel Robalo & Francisco Manzano-Agugliaro & Francisco G. Montoya, 2020. "Energies and Its Worldwide Research," Energies, MDPI, vol. 13(24), pages 1-41, December.
    18. Artur Felipe da Silva Veloso & José Valdemir Reis Júnior & Ricardo de Andrade Lira Rabelo & Jocines Dela-flora Silveira, 2021. "HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service," Future Internet, MDPI, vol. 13(11), pages 1-45, October.
    19. Deng, Xinchen & Wang, Feng & Lin, Xianke & Hu, Bing & Arash, Khalatbarisoltan & Hu, Xiaosong, 2022. "Distributed energy management of home-vehicle Nexus with Stationary battery energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    20. Sovacool, Benjamin K. & Furszyfer Del Rio, Dylan D., 2020. "Smart home technologies in Europe: A critical review of concepts, benefits, risks and policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).

    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:12:y:2019:i:22:p:4342-:d:286967. 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.