An Investigation of Real-Time Active Noise Control for 10 kV Substation Noise Suppression

Jinshan Yu, Zhongyuan Zheng, Yamin Li, Haohui Wang, Ying Hao, Xiaoxia Liang () and Jianzheng Gao ()
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Jinshan Yu: State Grid Tianjin Electric Power Research Institute, Tianjin 300392, China
Zhongyuan Zheng: State Grid Tianjin Electric Power Research Institute, Tianjin 300392, China
Yamin Li: School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
Haohui Wang: School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
Ying Hao: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China
Xiaoxia Liang: School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
Jianzheng Gao: Tianjin Eco-Environmental Monitoring Center, Tianjin 300191, China

Sustainability, 2023, vol. 15, issue 18, 1-17

Abstract: Substation noise is a crucial factor that influences residents’ quality of life, especially in the densely residential areas. Despite small- and medium-sized transformer facilities having relatively low noise levels, due to their proximity to residential areas, they generate considerable annoyance, rendering them a focal point among environmental noise complaints. The predominant noise emitted by these facilities falls within the medium- and low-frequency spectrum range, and the conventional passive noise reduction techniques exhibit limited efficacy in attenuating such low-frequency noise. This study develops a real-time active noise control (ANC) system based on a digital signal processor, TMS320F28335, and various ANC methods, including Filtered-X Least Mean Squares (FxLMS), Normalized Filter-X Least Mean Squares (FxNLMS), and variable step-size FxLMS (VS-FxLMS), are evaluated for the low-frequency noise reduction. In addition, the substation noises at a residential community are measured, analyzed, and used as noise source together with a series of sinusoidal waves for evaluation of the ANC algorithms. Results show the ANC system are effective in attenuating most low-frequency noises (within 600 Hz) and the average noise reduction for the substation noises has achieved by more than 12 dB.

Keywords: substation noise; active noise control; filtered-x least mean squares; normalized filter-x least mean squares; variable step-size normalized filter-x least mean squares (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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