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Impact of Distributed Generation Grid Code Requirements on Islanding Detection in LV Networks

Author

Listed:
  • Fabio Bignucolo

    (Department of Industrial Engineering, University of Padova, 35131 Padova, Italy)

  • Alberto Cerretti

    (e-distribuzione Società per azioni (S.p.A.), Via Ombrone 2, 00198 Roma, Italy)

  • Massimiliano Coppo

    (Department of Industrial Engineering, University of Padova, 35131 Padova, Italy)

  • Andrea Savio

    (Department of Industrial Engineering, University of Padova, 35131 Padova, Italy)

  • Roberto Turri

    (Department of Industrial Engineering, University of Padova, 35131 Padova, Italy)

Abstract

The recent growing diffusion of dispersed generation in low voltage (LV) distribution networks is entailing new rules to make local generators participate in network stability. Consequently, national and international grid codes, which define the connection rules for stability and safety of electrical power systems, have been updated requiring distributed generators and electrical storage systems to supply stabilizing contributions. In this scenario, specific attention to the uncontrolled islanding issue has to be addressed since currently required anti-islanding protection systems, based on relays locally measuring voltage and frequency, could no longer be suitable. In this paper, the effects on the interface protection performance of different LV generators’ stabilizing functions are analysed. The study takes into account existing requirements, such as the generators’ active power regulation (according to the measured frequency) and reactive power regulation (depending on the local measured voltage). In addition, the paper focuses on other stabilizing features under discussion, derived from the medium voltage (MV) distribution network grid codes or proposed in the literature, such as fast voltage support (FVS) and inertia emulation. Stabilizing functions have been reproduced in the DIgSILENT PowerFactory 2016 software environment, making use of its native programming language. Later, they are tested both alone and together, aiming to obtain a comprehensive analysis on their impact on the anti-islanding protection effectiveness. Through dynamic simulations in several network scenarios the paper demonstrates the detrimental impact that such stabilizing regulations may have on loss-of-main protection effectiveness, leading to an increased risk of unintentional islanding.

Suggested Citation

  • Fabio Bignucolo & Alberto Cerretti & Massimiliano Coppo & Andrea Savio & Roberto Turri, 2017. "Impact of Distributed Generation Grid Code Requirements on Islanding Detection in LV Networks," Energies, MDPI, vol. 10(2), pages 1-16, January.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:156-:d:88817
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    References listed on IDEAS

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    Cited by:

    1. Maciej Kuboń & Zbigniew Skibko & Sylwester Tabor & Urszula Malaga-Toboła & Andrzej Borusiewicz & Wacław Romaniuk & Janusz Zarajczyk & Pavel Neuberger, 2023. "Analysis of Voltage Distortions in the Power Grid Arising from Agricultural Biogas Plant Operation," Energies, MDPI, vol. 16(17), pages 1-21, August.
    2. Min-Sung Kim & Raza Haider & Gyu-Jung Cho & Chul-Hwan Kim & Chung-Yuen Won & Jong-Seo Chai, 2019. "Comprehensive Review of Islanding Detection Methods for Distributed Generation Systems," Energies, MDPI, vol. 12(5), pages 1-21, March.
    3. Xing Luo & Jihong Wang & Jacek D. Wojcik & Jianguo Wang & Decai Li & Mihai Draganescu & Yaowang Li & Shihong Miao, 2018. "Review of Voltage and Frequency Grid Code Specifications for Electrical Energy Storage Applications," Energies, MDPI, vol. 11(5), pages 1-26, April.
    4. Fabio Bignucolo & Alberto Cerretti & Massimiliano Coppo & Andrea Savio & Roberto Turri, 2017. "Effects of Energy Storage Systems Grid Code Requirements on Interface Protection Performances in Low Voltage Networks," Energies, MDPI, vol. 10(3), pages 1-20, March.
    5. Pau Casals-Torrens & Juan A. Martinez-Velasco & Alexandre Serrano-Fontova & Ricard Bosch, 2020. "Assessment of Unintentional Islanding Operations in Distribution Networks with Large Induction Motors," Energies, MDPI, vol. 13(2), pages 1-25, January.
    6. Fabio Bignucolo & Manuele Bertoluzzo, 2020. "Application of Solid-State Transformers in a Novel Architecture of Hybrid AC/DC House Power Systems," Energies, MDPI, vol. 13(13), pages 1-18, July.
    7. Francesco Simmini & Marco Agostini & Massimiliano Coppo & Tommaso Caldognetto & Andrea Cervi & Fabio Lain & Ruggero Carli & Roberto Turri & Paolo Tenti, 2020. "Leveraging Demand Flexibility by Exploiting Prosumer Response to Price Signals in Microgrids," Energies, MDPI, vol. 13(12), pages 1-19, June.

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