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ESS의 전자 잡음 주파수 분석 및 제거

Frequency Analysis and Reduction of Electronic Noise in ESS

  • 투고 : 2022.08.03
  • 심사 : 2022.08.18
  • 발행 : 2022.11.01

초록

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.

키워드

과제정보

본 연구는 한국서부발전의 2020년 "ESS 전자 잡음에 의한 사고방지 및 진단시스템 개발" 과제 연구비에 의해 지원되었음.

참고문헌

  1. Energy Storage, https://en.wikipedia.org/wiki/Energy_storage.
  2. B. W. Lee, A Study on the Analysis and Solution of ESS System Fire Cause, Hanyang Univ., Master's thesis, 2020.
  3. D. Y. Kim, An Estimation on Radiation Noise Produced by Conducted Noise, Nat'l Korea maritime & ocean univ., Master's thesis, 2004.
  4. A. V. Oppenheim, A. S. Willsky, and S. Hamid Nawab, Signals & Systems (Prentice-Hall, 1996).
  5. P. Kim and L. Huh, Kalman Filter for Beginners: With MATLAB Examples, (Corpus ID: 0431340, 2011).
  6. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing 3/e, (Prentice Hall, 2011)