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Comparative analysis for different passive filter topologies in grid-tied PV systems

Ibrahim Mehrez, Shorouk ElsayedSobhy Sabik, AsmaaWadie, FadyA. Nassar, Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science (Sinta 1)Vol. 42 No. 1 (2026)10 April 2026
DOI10.11591/ijeecs.v42.i1.pp1-12

Abstrak

The enhancement of power quality in grid-connected photovoltaic (PV) systems requires the development of effective harmonic mitigation techniques. This paper addresses the design and evaluation of specific passive filters (RC, LC, and LCL filters) for a three-phase grid-tied PV system, aiming to mitigate harmonics in the power system. The paper also systematically calculates and optimally solves for the components required for the given system. The design of the parameters for all filter topologies within the 100-kW grid-connected PV array is thoroughly elaborated. Each topology is evaluated based on the total harmonic distortion (THD) content, which is obtained using fast fourier transform (FFT), as well as DC voltage and system efficiency. The results are presented to identify the best solutions for harmonic mitigation. The modified filter model demonstrated in this study effectively limits harmonic distortion at the output. It is shown that the proposed design addresses the issue of harmonic distortion in grid-connected inverters for PV systems. The goal of this paper is to identify the most reliable filter for extending the system’s lifespan. The results suggest that the LCL filter is superior, as the system’s DC voltage remained within the rated value and the system efficiency was higher compared to the RC filter. The performance and functionality of these filters were tested using MATLAB/Simulink.

Kata Kunci

harmonic reductionLCL filtergrid-connected PV systemsFast fourier transformGrid-tiedInductive capacitive filterLCL filter passive RC filterPhotovoltaic systemTotal harmonic distortion

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Comparative analysis for different passive filter topologies in grid-tied PV systems | Indonesian Journal of Electrical Engineering and Computer Science | Publiora