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A Methodology for Dependability Evaluation of Smart Grids

Author

Listed:
  • Gisliany Alves

    (Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Campus Universitário, Lagoa Nova, Natal 59078-900, RN, Brazil)

  • Danielle Marques

    (Digital Metropolis Institute, Federal University of Rio Grande do Norte, Campus Universitário, Lagoa Nova, Natal 59078-900, RN, Brazil)

  • Ivanovitch Silva

    (Digital Metropolis Institute, Federal University of Rio Grande do Norte, Campus Universitário, Lagoa Nova, Natal 59078-900, RN, Brazil)

  • Luiz Affonso Guedes

    (Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Campus Universitário, Lagoa Nova, Natal 59078-900, RN, Brazil)

  • Maria da Guia da Silva

    (Department of Electrical Engineering, Federal University of Maranhão, Av. dos Portugueses 1966, Vila Bacanga, São Luís 65080-805, MA, Brazil)

Abstract

Smart grids are a new trend in electric power distribution, which has been guiding the digitization of electric ecosystems. These smart networks are continually being introduced in order to improve the dependability (reliability, availability) and efficiency of power grid systems. However, smart grids are often complex, composed of heterogeneous components (intelligent automation systems, Information and Communication Technologies (ICT) control systems, power systems, smart metering systems, and others). Additionally, they are organized under a hierarchical topology infrastructure demanded by priority-based services, resulting in a costly modeling and evaluation of their dependability requirements. This work explores smart grid modeling as a graph in order to propose a methodology for dependability evaluation. The methodology is based on Fault Tree formalism, where the top event is generated automatically and encompasses the hierarchical infrastructure, redundant features, load priorities, and failure and repair distribution rates of all components of a smart grid. The methodology is suitable to be applied in early design stages, making possible to evaluate instantaneous and average measurements of reliability and availability, as well as to identify eventual critical regions and components of smart grid. The study of a specific use-case of low-voltage distribution network is used for validation purposes.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1817-:d:230699
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    References listed on IDEAS

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    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. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    3. Xenias, Dimitrios & Axon, Colin J. & Whitmarsh, Lorraine & Connor, Peter M. & Balta-Ozkan, Nazmiye & Spence, Alexa, 2015. "UK smart grid development: An expert assessment of the benefits, pitfalls and functions," Renewable Energy, Elsevier, vol. 81(C), pages 89-102.
    4. 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.
    5. Fausto Pedro García Márquez & Alberto Pliego Marugán & Jesús María Pinar Pérez & Stuart Hillmansen & Mayorkinos Papaelias, 2017. "Optimal Dynamic Analysis of Electrical/Electronic Components in Wind Turbines," Energies, MDPI, vol. 10(8), pages 1-19, July.
    6. Mathias Uslar & Sebastian Rohjans & Christian Neureiter & Filip Pröstl Andrén & Jorge Velasquez & Cornelius Steinbrink & Venizelos Efthymiou & Gianluigi Migliavacca & Seppo Horsmanheimo & Helfried Bru, 2019. "Applying the Smart Grid Architecture Model for Designing and Validating System-of-Systems in the Power and Energy Domain: A European Perspective," Energies, MDPI, vol. 12(2), pages 1-40, January.
    7. Rasool Bukhsh & Nadeem Javaid & Zahoor Ali Khan & Farruh Ishmanov & Muhammad Khalil Afzal & Zahid Wadud, 2018. "Towards Fast Response, Reduced Processing and Balanced Load in Fog-Based Data-Driven Smart Grid," Energies, MDPI, vol. 11(12), pages 1-21, November.
    8. Eva González-Romera & Mercedes Ruiz-Cortés & María-Isabel Milanés-Montero & Fermín Barrero-González & Enrique Romero-Cadaval & Rui Amaral Lopes & João Martins, 2019. "Advantages of Minimizing Energy Exchange Instead of Energy Cost in Prosumer Microgrids," Energies, MDPI, vol. 12(4), pages 1-18, February.
    9. Kimani, Kenneth & Oduol, Vitalice & Langat, Kibet, 2019. "Cyber security challenges for IoT-based smart grid networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 36-49.
    10. Choi, Jong Soo & Cho, Nam Zin, 2007. "A practical method for accurate quantification of large fault trees," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 971-982.
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