<p>Previously, when addressing the environmental noise control problem in substations, the filter could not adapt to changes in the noise signal, and its parameters were not dynamically updated, resulting in suboptimal filtering performance. Therefore, an adaptive filtering suppression method of substation environmental noise based on fast transversal least mean square algorithm and minimum mean square error is proposed. This method employs a finite impulse response digital filter with adjustable coefficients as the core component for noise filtering, where the step size is dynamically adjusted using the minimum mean square error algorithm. Furthermore, the fast transversal least mean square algorithm is utilized to adaptively update the filter order and weights, thereby enhancing the overall noise suppression performance. Experimental results show that with the application of the proposed method, the sound pressure level of both daytime and nighttime ambient noise around the substation is reduced to meet the standard limit. Moreover, throughout the one-month evaluation period, the method consistently and effectively suppressed fluctuating noise signals.</p>