LAPSE:2023.29841
Published Article
LAPSE:2023.29841
Application of Decision Trees for Optimal Allocation of Harmonic Filters in Medium-Voltage Networks
April 13, 2023
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.
Keywords
active power filters, decision trees, frequency domain, modeling and simulation, Optimization, power losses, power quality
Suggested Citation
Klimas M, Grabowski D, Buła D. Application of Decision Trees for Optimal Allocation of Harmonic Filters in Medium-Voltage Networks. (2023). LAPSE:2023.29841
Author Affiliations
Klimas M: Electrical Engineering and Computer Science Department, Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland [ORCID]
Grabowski D: Electrical Engineering and Computer Science Department, Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland [ORCID]
Buła D: Electrical Engineering and Computer Science Department, Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland [ORCID]
Journal Name
Energies
Volume
14
Issue
4
First Page
1173
Year
2021
Publication Date
2021-02-22
Published Version
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14041173, Publication Type: Journal Article
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LAPSE:2023.29841
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doi:10.3390/en14041173
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Apr 13, 2023
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