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Interval Load Flow for Uncertainty Consideration in Power Systems Analysis

Author

Listed:
  • Wallisson C. Nogueira

    (Electrical, Mechanical and Computer Engineering School, Federal University of Goiás, Av. Universitária No. 1488, Goiânia 74605-010, Brazil)

  • Lina Paola Garcés Negrete

    (Electrical, Mechanical and Computer Engineering School, Federal University of Goiás, Av. Universitária No. 1488, Goiânia 74605-010, Brazil)

  • Jesús M. López-Lezama

    (Grupo en Manejo Eficiente de la Energía (GIMEL), Departamento de Ingeniería Eléctrica, Universidad de Antioquia (UdeA), Calle 70 No. 52-21, Medellín 050010, Colombia)

Abstract

Modern power systems must deal with a greater degree of uncertainty in power flow calculation due to variations in load and generation introduced by new technologies. This scenario poses new challenges to power system operators which require new tools for an accurate assessment of the system state. This paper presents an interval load flow (ILF) approach for dealing with uncertainty in power system analysis. A probabilistic load flow (PLF), based on Monte Carlo Simulation (MCS), was also implemented for comparative purposes. The ILF and PLF are used to estimate the network states. Both methods were implemented in Python ® using the IEEE 34-bus, IEEE 69-bus and 192-bus Brazilian distribution system. The results with the proposed ILF on the aforementioned benchmark test systems proved to be compatible with that of the MCS, evidencing the robustness and applicability of the proposed approach.

Suggested Citation

  • Wallisson C. Nogueira & Lina Paola Garcés Negrete & Jesús M. López-Lezama, 2021. "Interval Load Flow for Uncertainty Consideration in Power Systems Analysis," Energies, MDPI, vol. 14(3), pages 1-14, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:642-:d:488134
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    References listed on IDEAS

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    1. Weijie Cheng & Renli Cheng & Jun Shi & Cong Zhang & Gaoxing Sun & Dong Hua, 2018. "Interval Power Flow Analysis Considering Interval Output of Wind Farms through Affine Arithmetic and Optimizing-Scenarios Method," Energies, MDPI, vol. 11(11), pages 1-23, November.
    2. Lizi Luo & Wei Gu & Yonghui Wang & Chunxi Chen, 2017. "An Affine Arithmetic-Based Power Flow Algorithm Considering the Regional Control of Unscheduled Power Fluctuation," Energies, MDPI, vol. 10(11), pages 1-6, November.
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    Cited by:

    1. Wallisson C. Nogueira & Lina P. Garcés Negrete & Jesús M. López-Lezama, 2023. "Optimal Allocation and Sizing of Distributed Generation Using Interval Power Flow," Sustainability, MDPI, vol. 15(6), pages 1-24, March.

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