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Optimization of the structure of filter-compensating devices in networks with powerful non-linear power consumers based on fuzzy logic

Zhilin, Evgeniy VitalievichPrasol, Dmitriy AleksandrovichSavvin, Nikita Yurievich
International Journal of Electrical and Computer Engineering (IJECE) (Sinta 1)Vol. 0 No. 01 Desember 2022
DOI10.11591/ijece.v12i6.pp5730-5737

Abstrak

The article presents a solution to the problem of optimizing the structure of filter-compensating devices (FCD) when installed in high-voltage mine networks with powerful nonlinear electrical receivers. The urgency of the problem of choosing a rational structure of the FCD. The problem of choosing the design and installation location of the FCD is presented. The main technical means of compensation of higher harmonics of currents and voltages in high-voltage networks with powerful nonlinear electrical receivers are considered. Analysis of different types of passive filters (PF) and their frequency properties showed that the choice of specific types of PF refers to the multi-criteria optimization problem. The main methods of optimization of FCD design are considered. The variant of FCD construction based on the solution of multi-criteria optimization problem with the use of fuzzy sets is proposed and justified. To this end, the calculation of PF parameters and frequency characteristics of equivalent systems of the "filter-external network" type for four possible combinations of PF is performed. The optimal is a FCD with two resonant PF tuned to the 11th and 13th harmonics, and a second-order broadband PF tuned to compensate harmonics starting from the 23rd and above. The analysis of simulation results showed effective compensation of higher harmonic currents and voltages.

Kata Kunci

Fuzzy logic methodsHigher harmonic components of currents and voltagesHigh-voltage mine networkPassive harmonic filtersPowerful non-linear electrical receivers

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Optimization of the structure of filter-compensating devices in networks with powerful non-linear power consumers based on fuzzy logic | International Journal of Electrical and Computer Engineering (IJECE) | Publiora