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Stochastic Residential Harmonic Source Modeling for Grid Impact Studies

Author

Listed:
  • Gu Ye

    (Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, 5612AP Eindhoven, The Netherlands)

  • Michiel Nijhuis

    (Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, 5612AP Eindhoven, The Netherlands)

  • Vladimir Cuk

    (Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, 5612AP Eindhoven, The Netherlands)

  • J.F.G. (Sjef) Cobben

    (Electrical Energy Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, 5612AP Eindhoven, The Netherlands
    Alliander N.V., Groningensingel 1, 6835EA Arnhem, The Netherlands)

Abstract

With the introduction of more non-linear loads, e.g., compact fluorescent lamps, electric vehicles, photovoltaics, etc., the need to determine the harmonic impact of the residential load is rising, illustrated by the many studies performed on their harmonic impact. Traditionally, these studies are performed for a single new device and single penetration level, neglecting the harmonic interaction between new types of devices, as well as giving little information at which moment in time possible problems may arise. A composite approach to access the impact of harmonic sources on the distribution network is therefore proposed. This method combines a bottom-up stochastic modeling of the residential load with harmonic measurement data and harmonic load-flows all based on a scenario analysis. The method is validated with measurement data and shows a good prediction of the current level of harmonics in a residential neighborhood for the current situation. To demonstrate the applicability of the proposed method, case studies are performed on the IEEE European Low Voltage Test Feeder. These case studies show a marked difference between applying individual device-based models and a composite modeling approach, demonstrating why the proposed approach is an adequate method for the determination of the impact of new devices on the harmonics.

Suggested Citation

  • Gu Ye & Michiel Nijhuis & Vladimir Cuk & J.F.G. (Sjef) Cobben, 2017. "Stochastic Residential Harmonic Source Modeling for Grid Impact Studies," Energies, MDPI, vol. 10(3), pages 1-21, March.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:372-:d:93227
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    References listed on IDEAS

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    1. Benghanem, M., 2011. "Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia," Applied Energy, Elsevier, vol. 88(4), pages 1427-1433, April.
    2. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    3. Nian-Cheng Zhou & Xiao-Xuan Lou & David Yu & Qiang-Gang Wang & Jia-Jia Wang, 2015. "Harmonic Injection-Based Power Fluctuation Control of Three-Phase PV Systems under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 8(2), pages 1-16, February.
    4. Alberto Dolara & Sonia Leva, 2012. "Power Quality and Harmonic Analysis of End User Devices," Energies, MDPI, vol. 5(12), pages 1-14, December.
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    Cited by:

    1. Raoul Bernards & Werner van Westering & Johan Morren & Han Slootweg, 2020. "Analysis of Energy Transition Impact on the Low-Voltage Network Using Stochastic Load and Generation Models," Energies, MDPI, vol. 13(22), pages 1-21, November.
    2. Tianlei Zang & Zhengyou He & Yan Wang & Ling Fu & Zhiyu Peng & Qingquan Qian, 2017. "A Piecewise Bound Constrained Optimization for Harmonic Responsibilities Assessment under Utility Harmonic Impedance Changes," Energies, MDPI, vol. 10(7), pages 1-20, July.
    3. Xie, Xiangmin & Chen, Daolian, 2022. "Data-driven dynamic harmonic model for modern household appliances," Applied Energy, Elsevier, vol. 312(C).

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