Design and simulation using MATLAB/Simulink on active noise control system for power transformer

Batool, Mehwish; Chen, Yu; Shah, Muhammad Aqib; Zhang, Yuqi; Wang, Shiyuan; Zhang, Min

doi:10.1109/cmd.2016.7757861

Cited by 1 publication

(2 citation statements)

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“…The need to control the noise emanating from power transformer as it becomes an inevitable requirement of time in order to protect people's health and the environment few researchers have been able to work on using ANC in mitigation of power transformer noise across the world. For instance, a scANC based on LMS algorithm was proposed by [12] and the model was implemented in Simulink in the MATLAB environment using a practical noise from a 100 kVA power transformer. The analysis of the results from the study of [12] shows huge reduction in the power transformer noise.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, a scANC based on LMS algorithm was proposed by [12] and the model was implemented in Simulink in the MATLAB environment using a practical noise from a 100 kVA power transformer. The analysis of the results from the study of [12] shows huge reduction in the power transformer noise. However, the problem with this model is that a fixed step-size is used which limits its functionality, and difficulty in choosing the appropriate step-size.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Simulation of a Dual Channel Active Noise Control System for Power Transformer Using FXLMS Algorithm

SUNDAY¹,

RAIFU²,

MORUF³

2021

JESR

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Power transformers are known to generate noise, however, active noise emanating from power transformers many at time is unbearable and has been a subject of concern overtime in power engineering. Several studies on it have principally centered on single channel active noise controller (scANC) using fixed step size, which are characterized with the problems such as signal congestion and instability. This study, therefore, employed Filtered-X Least Mean Square (FXLMS) on a dual channel active noise controller (dcANC) using variable step-size. The noise emanating from a 100 MVA, 132/33 kV power transformer was captured with the help of a smart phone in flight mode in accordance with IEC 60076-10 standard of 2 m away from the transformer and 1 m apart between each measurement. The recorded noises were taken at one-third of the height of the transformer tank, while electromagnetic interference from the phone and others were assumed to be negligible. A dcANC with FXLMS was model mathematically and implemented in Simulink in the MATLAB environment. Noise reduction ratio, loudness unit full scale and mean square error were used as performance metrics. The simulation results obtained showed that the original noise emanating from the power transformer when ANC was not used was found to be 70 dB. When scANC with FXLMS was used, the noise was reduced to 30.55 dB whereas, when dcANC with the FXLMS was employed it was reduced to 0.19 dB. Also, the MSE value of -72 dB was obtained in the proposed dcANC with FXLMS, compared with -64 dB obtained from scANC with FXLMS algorithm. The results of the simulation using FXLMS on both scANC and dcANC showed that the performance of the dcANC is comparatively better in term of the stated performance metrics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%