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http://dx.doi.org/10.4313/JKEM.2022.35.6.5

Frequency Analysis and Reduction of Electronic Noise in ESS  

Ahn, Bong Man (Industrial Cooperation Foundation, Chonbuk National University)
Han, Byoung Sung (Industrial Cooperation Foundation, Chonbuk National University)
Han, Un Ki (We Energy co., LTD.)
Lee, Young Kwan (Save Energy co., LTD.)
An, Hyun Jin (Korea Western Power co., LTD.)
Publication Information
Journal of the Korean Institute of Electrical and Electronic Material Engineers / v.35, no.6, 2022 , pp. 568-575 More about this Journal
Abstract
This paper is a study on frequency analysis and electronic noise reduction of energy storage system (ESS). We acquired 4 necessary data for about 2 minutes and 4 seconds using a sampling frequency of 10,000 Hz in ESS. Fast Fourier transform (FFT) was used for electronic noise analysis from the acquired data. As a result, it was confirmed that DC component, fundamental wave, second and higher harmonic component exist. For the attenuation of harmonics, low-pass filter (LPF) was applied. We confirmed that an attenuation of approximately 59.3% appears from the second harmonic. The presence of many harmonic components in the data of the ESS was expected to occur due to the insufficiency of optimization among the modules inside the ESS. Therefore, we propose that a national certification system for ESS should be introduced to settle down the issue properly.
Keywords
ESS; Electronic noise reduction; FFT; LPF;
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