Design of Triple Tuned Passive Harmonic Power Filter - A Novel Approach
subject: Dynamic loading; passive harmonic filter; single tuned filter (STF); static loading; triple tuned filter
description: Nowadays, there is a race between active and passive harmonic filters and still ambiguity persists. It is a proven fact that active harmonic filters (AHFs) are costly solutions though have proved better than passive harmonic filters. Except sizing and resonance problems, tuned passive harmonic filters (TPHFs) are proved to give economical solutions with little compromise on their performance. The accurate design of TPHFs gives a greater impact on its performance. The triple-TPHF (TTPHF) is essential to alleviate first three dominant ac side current harmonics simultaneously at the high voltage direct current (HVdc) converters and it is proved better than the single and double TPHFs. Existing equivalent methods of TTPHF design failed to give satisfactory performance under dynamic conditions. Hence, this article introduces a novel parametric method-based design of TTPHF, which will give better performance under static and dynamic loading conditions. The results also reveal that the proposed TTPHF design method will perform better than the existing methods. 2021 IEEE.
creator: Cheepati K.R.; Parimalasundar E.; Suresh K.; Rami Reddy C.; Alqahtani M.M.; Khalid M.
source: IEEE Canadian Journal of Electrical and Computer Engineering, Vol-46, No. 4, pp. 270-277.
publisher: IEEE Canada
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 26941783
format: Online
language: English
type: Article
coverage: Cheepati K.R., Ksrm College of Engineering (Autonomous), Electrical and Electronics Engineering, Kadapa, 516005, India; Parimalasundar E., Mohan Babu University, Erst while Sree Vidyanikethan Engineering College, Department of Electrical and Electronics Engineering, Tirupati, 517102, India; Suresh K., Christ University, Electrical and Electronics Engineering, Bangalore, 560029, India; Rami Reddy C., Joginpally B.R. Engineering College, Electrical and Electronics Engineering, Hyderabad, 500075, India; Alqahtani M.M., King Khalid University, Department of Industrial Engineering, Abha, 62529, Saudi Arabia; Khalid M., King Fahd University of Petroleum and Minerals, Electrical Engineering Department and Irc for Renewable Energy and Power Systems (IRC-REPS), Dhahran, 31261, Saudi Arabia, SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Dhahran, 31261, Saudi Arabia