Abstract
Active noise control (ANC) technology can be able to reduce the low frequency noise effectively, and has been widely applied in limited enclosed equipment, such as cars, aircraft cockpits, and headphones, etc. Compared with the traditional noise reduction methods, ANC technology is a cost-effective method in handling the low-frequency noise of transformers. An experimental ANC system in a virtual substation is designed and constructed. An adaptive signal tracking ANC algorithm is proposed, and a set of ANC experimental prototypes applied to a virtual substation is designed. Based on the proposed algorithm, the distributions of the acoustics and spectral characteristics of transformer noise in substations are analyzed. Experimental results show that the effective noise reduction can be achieved an average of 5 dB(A) in a given region with respect to the absence of the ANC system.
Highlights
Transformer is one of the most important equipment in power system [1]
A noise active control system of power transformer based on an adaptive signal
A noise active control systemThe of power transformer based on an adaptive tracking method is proposed and implemented
Summary
Transformer is one of the most important equipment in power system [1]. The noises, especially the low frequency noises emitted by large power transformers and distribution transformers cause a serious disturbance to the surrounding community. For the traditional noise reduction methods, it is difficult to reduce the noise effectively due to the restrictions of economy, security, and other factors. It is believed that the active noise control (ANC) technology can obtain the considerable progress and attention of noise reduction applications in substations. ANC technology has been successfully applied in acoustic noise reduction, such as cars, ships, and other limited enclosed space [2]. Substation noise pollution has gained more social attention, and the application of ANC for this kind of free sound field has been gradually increased
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