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

Dawid Buła, Dariusz Grabowski, Michał Lewandowski, Marcin Maciążek and Anna Piwowar
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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

Energies, 2020, vol. 14, issue 1, 1-25

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.

Keywords: power quality; active power filters; power losses; optimization; modeling and simulation; frequency domain (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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