Comparison of Passive Damping based LCL Filter Design Methods for Grid-connected Voltage Source Converters

Naresh, P and Anirudh, CVS and V, Seshadri Sravan Kumar (2020) Comparison of Passive Damping based LCL Filter Design Methods for Grid-connected Voltage Source Converters. In: 3rd IEEE International Conference on Power, Instrumentation, Control and Computing, PICC 2020, 17 December 2020through 19 December 2020, Virtual, Thrissur.

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Distributed generators are typically interfaced to the grid via power electronic converters that are usually operated in pulse width modulation mode. This results in undesirable higher-order harmonics in currents and voltages that deteriorate the power quality. In order to mitigate these harmonics, a filter is usually connected at the output of the converter before it is interfaced to the grid. The most commonly adopted filter is the LCL filter. This paper analyses the performance of different methods proposed in the literature to design passive LCL filters for a 3- f grid-connected voltage source converter. Various filter design techniques are tested for their compliance with the standards IEEE 519-2014 and IEEE 1547-2018. Further, comparison is carried out in terms of essential system metrics such as reactive power requirement, power factor, and the voltage drop across the filter. The performance of various filter design approaches is analyzed using simulation studies on different distributed generator configurations. © 2020 IEEE.

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IITH Creators:
IITH CreatorsORCiD
V, Seshadri Sravan KumarUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Additional Information: This work is supported in parts by the the Department of Science and Technology, Government of India, through INSPIRE research grant DST/INSPIRE/04/2016/002381 and through Early Career Research scheme ECR/2018/002565
Uncontrolled Keywords: LCL filter; passive damping; reactive power; resonant frequency; voltage source converter
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 27 Oct 2022 11:00
Last Modified: 27 Oct 2022 11:00
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