Determination of Optimal Locations and Parameters of Passive Harmonic Filters in Unbalanced Systems Using the Multiobjective Genetic Algorithm

Authors

  • Milos J. Milovanovic Faculty of Technical Sciences, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia
  • Svetlana S. Raicevic IT, E-Communications and Development, Nis, Serbia
  • Dardan O. Klimenta Faculty of Technical Sciences, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia
  • Nebojsa B. Raicevic Faculty of Electronic Engineering, University of Nis, Nis, Serbia
  • Bojan D. Perovic Faculty of Technical Sciences, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia

DOI:

https://doi.org/10.5755/j02.eie.36124

Keywords:

Genetic algorithm (GA), Optimisation, Passive harmonic filter (PHF), Unbalanced distribution system

Abstract

This paper discusses the problem of optimal placement and sizing of passive harmonic filters to mitigate harmonics in unbalanced distribution systems. The problem is formulated as a nonlinear multiobjective optimisation problem and solved using the multiobjective genetic algorithm. The performance of the proposed algorithm is tested on unbalanced IEEE 13- and 37-bus three-phase systems. The optimal solutions are obtained based on the following objective functions: 1) minimisation of total harmonic distortion in voltage, 2) minimisation of costs of filters, 3) minimisation of voltage unbalances, and 4) a simultaneous minimisation of total harmonic distortion in voltage, costs of filters, and voltage unbalances. Finally, an analysis of the influence of uncertainties of load powers and changes in system frequency and filter parameters on filter efficiency was performed.

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Published

2024-04-26

How to Cite

Milovanovic, M. J., Raicevic, S. S., Klimenta, D. O., Raicevic, N. B., & Perovic, B. D. (2024). Determination of Optimal Locations and Parameters of Passive Harmonic Filters in Unbalanced Systems Using the Multiobjective Genetic Algorithm. Elektronika Ir Elektrotechnika, 30(2), 28-37. https://doi.org/10.5755/j02.eie.36124

Issue

Section

ELECTRICAL ENGINEERING

Funding data