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Electrical Engineering

, Volume 101, Issue 3, pp 787–803 | Cite as

GA-based approach for optimal placement and sizing of passive power filters to reduce harmonics in distorted radial distribution systems

  • Miloš MilovanovićEmail author
  • Jordan Radosavljević
  • Dardan Klimenta
  • Bojan Perović
Original Paper
  • 76 Downloads

Abstract

This paper presents a Genetic Algorithm-based approach for optimal placement and sizing of passive power filters to mitigate harmonics in radial distribution systems with linear and nonlinear loads. The problem is formulated as a nonlinear multi-objective optimisation problem with equality and inequality constraints. For solving this problem, the Genetic Algorithm’s performances are analysed and evaluated using the standard IEEE 18- and 33-bus test systems. The optimal solutions are obtained based on the following four optimisation criteria: (1) minimisation of the maximum level of the total harmonic distortion in voltage, (2) minimisation of the initial investment costs of the filters, (3) minimisation of total active power losses in distribution lines and (4) a simultaneous minimisation of the maximum total harmonic distortion in voltage, initial investment costs of filters and total active power losses. The system harmonic levels are estimated using the Decoupled Harmonic Power Flow algorithm. Simulation results, obtained using the proposed Genetic Algorithm-based approach, are compared with those obtained using other optimisation algorithms and verified using the Harmonic Analysis module of the Electrical Transient Analysis Program. It is shown that the Genetic Algorithm-based approach provides effective, robust and high-quality solutions.

Keywords

Genetic Algorithm (GA) Harmonics Optimisation Passive power filter (PPF) Radial distribution system 

Notes

Acknowledgements

This paper was based on research conducted within the project TR33046 funded by the Government of the Republic of Serbia.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Technical SciencesUniversity of Priština in Kosovska MitrovicaKosovska MitrovicaSerbia

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