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Series DC Arc Simulation of Photovoltaic System Based on Habedank Model

Author

Listed:
  • Xinran Li

    (Department of Illuminating Engineering and Light Sources, School of Information Science and Technology, Fudan University, Shanghai 200433, China
    Shanghai Engineering Research Center for Artificial Intelligence Integrated Energy System, Fudan University, Shanghai 200433, China)

  • Chenyun Pan

    (Department of Illuminating Engineering and Light Sources, School of Information Science and Technology, Fudan University, Shanghai 200433, China
    Shanghai Engineering Research Center for Artificial Intelligence Integrated Energy System, Fudan University, Shanghai 200433, China)

  • Dongmei Luo

    (Innovation Institute of ISoftStone, ISoftStone Co., Ltd., Beijing 100193, China)

  • Yaojie Sun

    (Department of Illuminating Engineering and Light Sources, School of Information Science and Technology, Fudan University, Shanghai 200433, China
    Shanghai Engineering Research Center for Artificial Intelligence Integrated Energy System, Fudan University, Shanghai 200433, China)

Abstract

Despite the rapid development of photovoltaic (PV) industry, direct current (DC) fault arc remains a major threat to the safety of PV system and personnel. While extensive research on DC fault arc has been conducted, little attention has been paid to the long-time interactions between the PV system and DC arc. In this paper, a simulation system with an arc model and PV system model is built to overcome the inconvenience of the fault-arc experiments and understand the mechanism of these interactions. For this purpose, the characteristics of the series DC arc in a small grid-connected PV system are first investigated under uniform irradiance. Then, by comparing with different arc models, the Habedank model is selected to simulate the fault arc and a method to determine its parameters under DC arc condition is proposed. The trends of simulated arc waveforms are consistent with the measured data, whose fitting degree in adjusted R-squared is between 0.946 and 0.956. Finally, a phenomenon observed during the experiment, that the negative perturbation of the maximum power point tracking (MPPT) algorithm can reduce the arc current, is explained by the proposed model.

Suggested Citation

  • Xinran Li & Chenyun Pan & Dongmei Luo & Yaojie Sun, 2020. "Series DC Arc Simulation of Photovoltaic System Based on Habedank Model," Energies, MDPI, vol. 13(6), pages 1-16, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1416-:d:334013
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    Citations

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    Cited by:

    1. Xu, Wenqiang & Wu, Xiaogang & Li, Yalun & Wang, Hewu & Lu, Languang & Ouyang, Minggao, 2023. "A comprehensive review of DC arc faults and their mechanisms, detection, early warning strategies, and protection in battery systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    2. Teng Li & Zhijie Jiao & Lina Wang & Yong Mu, 2020. "A Method of DC Arc Detection in All-Electric Aircraft," Energies, MDPI, vol. 13(16), pages 1-14, August.
    3. Andrea Mariscotti, 2023. "The Electrical Behaviour of Railway Pantograph Arcs," Energies, MDPI, vol. 16(3), pages 1-43, February.
    4. Krzysztof Dowalla & Piotr Bilski & Robert Łukaszewski & Augustyn Wójcik & Ryszard Kowalik, 2022. "A Novel Method for Detection and Location of Series Arc Fault for Non-Intrusive Load Monitoring," Energies, MDPI, vol. 16(1), pages 1-23, December.
    5. Javier Solano & Diego Jimenez & Adrian Ilinca, 2020. "A Modular Simulation Testbed for Energy Management in AC/DC Microgrids," Energies, MDPI, vol. 13(16), pages 1-23, August.

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