Utilizing Soft Computing to Identify Harmonics in Electrical Systems
M VIJAY KUMAR
, Dr Ritesh Diwan
Harmonic signal estimation, Kalman filter, correlation analysis, adaptive filtering, Soft-computing
Abstract: The ideal positions of a restricted number of harmonic meters and the best dynamic estimations of harmonic source locations and their injections in unbalanced three-phase power systems are the two harmonic source identification issues that have been tackled in this work. Electrical equipment linked to the power system is stressed by these harmonics. Additionally, these harmonics lead to device malfunctions and/or performance issues. As a result, harmonic filters are required. This study measures the frequencies and magnitudes of fundamental and harmonic components found in system voltage and current waveforms. The output of this filter is contrasted with the output of MATLAB's Fast Fourier transform (FFT) function. According to simulation data, the Extended Kalman filter outperforms the others in terms of accuracy and harmonic detection time.
"Utilizing Soft Computing to Identify Harmonics in Electrical Systems", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.c536-c543, October-2024, Available :https://ijnrd.org/papers/IJNRD2410265.pdf
Volume 9
Issue 10,
October-2024
Pages : c536-c543
Paper Reg. ID: IJNRD_301530
Published Paper Id: IJNRD2410265
Downloads: 00022
Research Area: Science and Technology
Country: Durg, Chhattisgarh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
