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Software Solution for Modeling, Sizing, and Allocation of Active Power Filters in Distribution Networks

Author

Listed:
  • Dawid Buła

    (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)

  • Michał Lewandowski

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

  • Marcin Maciążek

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

  • Anna Piwowar

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

Abstract

The paper is related to the problem of modeling and optimizing power systems supplying, among others, nonlinear loads. A software solution that allows the modeling and simulation of power systems in the frequency domain as well as the sizing and allocation of active power filters has been developed and presented. The basic assumptions for the software development followed by the models of power system components and the optimization assumptions have been described in the paper. On the basis of an example of a low-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 investment costs under the assumed conditions for voltage total harmonic distortion (THD) coefficients in the network nodes. The presented examples show that the appropriate software allows for an in-depth analysis of possible solutions and, furthermore, the selection of the optimal one for a specific case, depending on the adopted limitations, expected effects, and investment costs. In addition, a very high computational efficiency of the adopted approach to modeling and simulation has been demonstrated, despite the use of (i) element models for which parameters depend on the operating point (named iterative elements), (ii) active filter models taking into account real harmonics reduction efficiency and power losses, and (iii) a brute force algorithm for optimization.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:133-:d:469869
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    References listed on IDEAS

    as
    1. 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.
    2. Maciążek, Marcin & Grabowski, Dariusz & Pasko, Marian & Lewandowski, Michał, 2015. "Compensation based on active power filters – The cost minimization," Applied Mathematics and Computation, Elsevier, vol. 267(C), pages 648-654.
    3. 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. Zbigniew Sołjan & Grzegorz Hołdyński & Maciej Zajkowski, 2021. "CPC-Based Minimizing of Balancing Compensators in Four-Wire Nonsinusoidal Asymmetrical Systems," Energies, MDPI, vol. 14(7), pages 1-21, March.
    3. 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.

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    1. 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.
    2. 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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