IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i12p1022-d84575.html
   My bibliography  Save this article

A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems

Author

Listed:
  • Enrique Personal

    (Department of Electronic Technology, University of Seville, 41011 Seville, Spain)

  • Antonio García

    (Department of Electronic Technology, University of Seville, 41011 Seville, Spain)

  • Antonio Parejo

    (Department of Electronic Technology, University of Seville, 41011 Seville, Spain)

  • Diego Francisco Larios

    (Department of Electronic Technology, University of Seville, 41011 Seville, Spain)

  • Félix Biscarri

    (Department of Electronic Technology, University of Seville, 41011 Seville, Spain)

  • Carlos León

    (Department of Electronic Technology, University of Seville, 41011 Seville, Spain)

Abstract

In the last few decades, the Smart Grid paradigm presence has increased within power systems. These new kinds of networks demand new Operations and Planning approaches, following improvements in the quality of service. In this sense, the role of the Distribution Management System, through its Outage Management System, is essential to guarantee the network reliability. This system is responsible for minimizing the consequences arising from a fault event (or network failure). Obviously, knowing where the fault appears is critical for a good reaction of this system. Therefore, several fault location techniques have been proposed. However, most of them provide individual results, associated with specific testbeds, which make the comparison between them difficult. Due to this, a review of fault location methods has been done in this paper, analyzing them for their use on underground distribution lines. Specifically, this study is focused on an impedance-based method because their requirements are in line with the typical instrumentation deployed in distribution networks. This work is completed with an exhaustive analysis of these methods over a PSCAD TM X4 implementation of the standard IEEE Node Test Feeder, which truly allows us to consistently compare the results of these location methods and to determine the advantages and drawbacks of each of them.

Suggested Citation

  • Enrique Personal & Antonio García & Antonio Parejo & Diego Francisco Larios & Félix Biscarri & Carlos León, 2016. "A Comparison of Impedance-Based Fault Location Methods for Power Underground Distribution Systems," Energies, MDPI, vol. 9(12), pages 1-30, December.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1022-:d:84575
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/12/1022/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/9/12/1022/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guopeng Song & Hao Chen & Bo Guo, 2014. "A Layered Fault Tree Model for Reliability Evaluation of Smart Grids," Energies, MDPI, vol. 7(8), pages 1-23, July.
    2. Luca Ardito & Giuseppe Procaccianti & Giuseppe Menga & Maurizio Morisio, 2013. "Smart Grid Technologies in Europe: An Overview," Energies, MDPI, vol. 6(1), pages 1-31, January.
    3. Ferreira, Helder Lopes & Garde, Raquel & Fulli, Gianluca & Kling, Wil & Lopes, Joao Pecas, 2013. "Characterisation of electrical energy storage technologies," Energy, Elsevier, vol. 53(C), pages 288-298.
    4. Jingshuang Shen & Chuanwen Jiang & Bosong Li, 2015. "Controllable Load Management Approaches in Smart Grids," Energies, MDPI, vol. 8(10), pages 1-16, October.
    5. Personal, Enrique & Guerrero, Juan Ignacio & Garcia, Antonio & Peña, Manuel & Leon, Carlos, 2014. "Key performance indicators: A useful tool to assess Smart Grid goals," Energy, Elsevier, vol. 76(C), pages 976-988.
    6. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    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. Ehsan Gord & Rahman Dashti & Mojtaba Najafi & Hamid Reza Shaker, 2019. "Real Fault Section Estimation in Electrical Distribution Networks Based on the Fault Frequency Component Analysis," Energies, MDPI, vol. 12(6), pages 1-29, March.
    2. Hamid Mirshekali & Athila Q. Santos & Hamid Reza Shaker, 2023. "A Survey of Time-Series Prediction for Digitally Enabled Maintenance of Electrical Grids," Energies, MDPI, vol. 16(17), pages 1-29, August.
    3. Danilo Pinto Moreira de Souza & Eliane Da Silva Christo & Aryfrance Rocha Almeida, 2017. "Location of Faults in Power Transmission Lines Using the ARIMA Method," Energies, MDPI, vol. 10(10), pages 1-12, October.
    4. Dazhi Wang & Yi Ning & Cuiling Zhang, 2018. "An Effective Ground Fault Location Scheme Using Unsynchronized Data for Multi-Terminal Lines," Energies, MDPI, vol. 11(11), pages 1-16, October.
    5. Stephen Robson & Abderrahmane Haddad & Huw Griffiths, 2018. "Traveling Wave Fault Location Using Layer Peeling," Energies, MDPI, vol. 12(1), pages 1-23, December.
    6. Ednardo Rocha & Max Pimentel Filho & Melinda Cruz & Marcos Almeida & Manoel Medeiros Júnior, 2020. "A New Linear State Estimator for Fault Location in Distribution Systems Based on Backward-Forward Currents Sweep," Energies, MDPI, vol. 13(11), pages 1-23, May.
    7. Kongming Sun & Qing Chen & Pu Zhao, 2017. "Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology," Energies, MDPI, vol. 10(8), pages 1-22, July.
    8. Tao Tang & Chun Huang & Zhenxing Li & Xiuguang Yuan, 2019. "Identifying Faulty Feeder for Single-Phase High Impedance Fault in Resonant Grounding Distribution System," Energies, MDPI, vol. 12(4), pages 1-15, February.
    9. Amr A. Abd-Elaziz & Saad Khan & Ahmed A. Aboushady & Mohamed E. Farrag & Michael M. C. Merlin & Stephen Finney & Salah Abdel Maksoud, 2024. "Fault Pinpointing in Underground Cables of Low-Voltage Distribution Networks with Inductive Wireless Power Transfer," Energies, MDPI, vol. 17(24), pages 1-39, December.
    10. Yi Ning & Dazhi Wang & Yunlu Li & Haixin Zhang, 2018. "Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods," Energies, MDPI, vol. 11(5), pages 1-18, May.
    11. Hamed Rezapour & Sadegh Jamali & Alireza Bahmanyar, 2023. "Review on Artificial Intelligence-Based Fault Location Methods in Power Distribution Networks," Energies, MDPI, vol. 16(12), pages 1-18, June.

    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. Personal, Enrique & Guerrero, Juan Ignacio & Garcia, Antonio & Peña, Manuel & Leon, Carlos, 2014. "Key performance indicators: A useful tool to assess Smart Grid goals," Energy, Elsevier, vol. 76(C), pages 976-988.
    2. Thomas Patsialis & Ioannis Kougias & Nerantzis Kazakis & Nicolaos Theodossiou & Peter Droege, 2016. "Supporting Renewables’ Penetration in Remote Areas through the Transformation of Non-Powered Dams," Energies, MDPI, vol. 9(12), pages 1-14, December.
    3. Diego Francisco Larios & Enrique Personal & Antonio Parejo & Sebastián García & Antonio García & Carlos Leon, 2020. "Operational Simulation Environment for SCADA Integration of Renewable Resources," Energies, MDPI, vol. 13(6), pages 1-37, March.
    4. Jinchao Li & Tianzhi Li & Liu Han, 2018. "Research on the Evaluation Model of a Smart Grid Development Level Based on Differentiation of Development Demand," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    5. Gisliany Alves & Danielle Marques & Ivanovitch Silva & Luiz Affonso Guedes & Maria da Guia da Silva, 2019. "A Methodology for Dependability Evaluation of Smart Grids," Energies, MDPI, vol. 12(9), pages 1-23, May.
    6. Federica Cucchiella & Idiano D’Adamo & Paolo Rosa, 2015. "Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets," Energies, MDPI, vol. 8(11), pages 1-16, November.
    7. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    8. Liu, Jin-Long & Wang, Jian-Hua, 2015. "Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor," Energy, Elsevier, vol. 91(C), pages 420-429.
    9. Pedro Roncero-Sànchez & Enrique Acha, 2014. "Design of a Control Scheme for Distribution Static Synchronous Compensators with Power-Quality Improvement Capability," Energies, MDPI, vol. 7(4), pages 1-22, April.
    10. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    11. Gianluca Fulli & Marcelo Masera & Catalin Felix Covrig & Francesco Profumo & Ettore Bompard & Tao Huang, 2017. "The EU Electricity Security Decision-Analytic Framework: Status and Perspective Developments," Energies, MDPI, vol. 10(4), pages 1-20, March.
    12. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    13. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
    14. Lukas Sigrist & Kristof May & Andrei Morch & Peter Verboven & Pieter Vingerhoets & Luis Rouco, 2016. "On Scalability and Replicability of Smart Grid Projects—A Case Study," Energies, MDPI, vol. 9(3), pages 1-19, March.
    15. Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
    16. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    17. Athira M. Mohan & Nader Meskin & Hasan Mehrjerdi, 2020. "A Comprehensive Review of the Cyber-Attacks and Cyber-Security on Load Frequency Control of Power Systems," Energies, MDPI, vol. 13(15), pages 1-33, July.
    18. Trieste, S. & Hmam, S. & Olivier, J.-C. & Bourguet, S. & Loron, L., 2015. "Techno-economic optimization of a supercapacitor-based energy storage unit chain: Application on the first quick charge plug-in ferry," Applied Energy, Elsevier, vol. 153(C), pages 3-14.
    19. Tafarte, Philip & Das, Subhashree & Eichhorn, Marcus & Thrän, Daniela, 2014. "Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources," Energy, Elsevier, vol. 72(C), pages 80-92.
    20. Pavković, D. & Hoić, M. & Deur, J. & Petrić, J., 2014. "Energy storage systems sizing study for a high-altitude wind energy application," Energy, Elsevier, vol. 76(C), pages 91-103.

    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:9:y:2016:i:12:p:1022-:d:84575. 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.