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- Title
OPTIMIZING HARMONIC DETECTION: MECHATRONIC APPROACHES FOR ENHANCED ELECTRIC POWER INFORMATION ACQUISITION.
- Authors
Chengfei Qi; Yan Liu; Sida Zheng; Yaoyu Wang; Hongzhang Xiong
- Abstract
This work aims to achieve intelligent information collection for an automated electrical energy metering system. It utilizes mechatronic electric energy sensor devices to collect energy information from the automated metering system. By improving the spectral scale of the Discrete Fourier Transform (DFT) algorithm, accuracy in fundamental frequency, phase calculation, and amplitude calculation has been enhanced. In a simulated environment, a fusion dataset of infrared and visible images of transmission lines is used for harmonic detection through digital signal processing. Simulation results indicate that the improved DFT algorithm provides a significantly more accurate measurement of the fundamental frequency than the windowed interpolation algorithm. The improved DFT algorithm also outperforms the windowed interpolation algorithm in terms of calculating the phase of the fundamental frequency and each harmonic. Besides, in a digital signal processing hardware environment, it demonstrates higher accuracy in amplitude calculation than the windowed interpolation algorithm. This work achieves information collection for mechatronic electric energy sensors, providing crucial support for the management of automated electrical energy metering systems.
- Subjects
MECHATRONICS; ELECTRICITY power meters; DISCRETE Fourier transforms; DIGITAL signal processing; ELECTRIC lines; INTERPOLATION
- Publication
International Journal of Mechatronics & Applied Mechanics, 2023, Issue 14, p117
- ISSN
2559-4397
- Publication type
Article