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Application of Decision Trees for Optimal Allocation of Harmonic Filters in Medium-Voltage Networks

Author

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  • Maciej Klimas

    (Electrical Engineering and Computer Science Department, Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Dariusz Grabowski

    (Electrical Engineering and Computer Science Department, Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Dawid Buła

    (Electrical Engineering and Computer Science Department, Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland)

Abstract

The paper proposes a solution for the problem of optimizing medium voltage power systems which supply, among others, nonlinear loads. It is focused on decision tree (DT) application for the sizing and allocation of active power filters (APFs), which are the most effective means of power quality improvement. Propositions of some DT strategies followed by the results have been described in the paper. On the basis of an example of a medium-voltage network, an analysis of the selection of the number and allocation of active power filters was carried out in terms of minimizing losses and costs keeping under control voltage total harmonic distortion (THD) coefficients in the network nodes. The presented example shows that decision trees allow for the selection of the optimal solution, depending on assumed limitations, expected effects, and costs.

Suggested Citation

  • Maciej Klimas & Dariusz Grabowski & Dawid Buła, 2021. "Application of Decision Trees for Optimal Allocation of Harmonic Filters in Medium-Voltage Networks," Energies, MDPI, vol. 14(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1173-:d:503844
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    References listed on IDEAS

    as
    1. Xiangfei Meng & Pei Zhang & Dahai Zhang, 2020. "Decision Tree for Online Voltage Stability Margin Assessment Using C4.5 and Relief-F Algorithms," Energies, MDPI, vol. 13(15), pages 1-13, July.
    2. Dawid Buła & Dariusz Grabowski & Michał Lewandowski & Marcin Maciążek & Anna Piwowar, 2020. "Software Solution for Modeling, Sizing, and Allocation of Active Power Filters in Distribution Networks," Energies, MDPI, vol. 14(1), pages 1-25, December.
    3. Amir Mosavi & Mohsen Salimi & Sina Faizollahzadeh Ardabili & Timon Rabczuk & Shahaboddin Shamshirband & Annamaria R. Varkonyi-Koczy, 2019. "State of the Art of Machine Learning Models in Energy Systems, a Systematic Review," Energies, MDPI, vol. 12(7), pages 1-42, April.
    4. Buła, D. & Lewandowski, M., 2015. "Comparison of frequency domain and time domain model of a distributed power supplying system with active power filters (APFs)," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 771-779.
    5. Buła, D. & Lewandowski, M., 2018. "Steady state simulation of a distributed power supplying system using a simple hybrid time-frequency model," Applied Mathematics and Computation, Elsevier, vol. 319(C), pages 195-202.
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    Cited by:

    1. Hamed Rezapour & MohamadAli Amini & Hamid Falaghi & António M. Lopes, 2023. "Integration of Stand-Alone Controlled Active Power Filters in Harmonic Power Flow of Radial Distribution Networks," Energies, MDPI, vol. 16(5), pages 1-20, March.
    2. Gabriel Nicolae Popa, 2022. "Electric Power Quality through Analysis and Experiment," Energies, MDPI, vol. 15(21), pages 1-14, October.
    3. Dawid Buła & Dariusz Grabowski & Marcin Maciążek, 2022. "A Review on Optimization of Active Power Filter Placement and Sizing Methods," Energies, MDPI, vol. 15(3), pages 1-35, February.

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