Optimization and Performance Analysis of a Modular Active Noise Reduction Device for Power System Reactors

Abstract

Shunt reactors in power systems generate severe vibration and noise during operation due to the combined excitation of core magnetostriction and winding electromagnetic force, which degrades the acoustic environment around substations. To tackle engineering challenges such as strict installation constraints, wide control frequency band, and slow algorithm convergence, this paper proposes a systematic design and optimization scheme for a modular active noise reduction device. Based on the electromagnetic–structural–acoustic multi-physics sequential coupling modeling, a complete excitation chain model for reactor noise is established. Aiming at minimizing sound pressure, the layout of secondary sound sources and the configuration of sensor arrays are collaboratively optimized. An improved filtered-x least mean square (FxLMS) algorithm is adopted to enhance the convergence stability under harmonic conditions. Simulation results show that the device achieves a noise reduction of 18.6 dB(A) in 100– 500 Hz, 7.3 dB(A) higher than the traditional single-point scheme. An experimental platform is built in accordance with GB/T 1094.10, and the maximum error between measurement and simulation is less than 1.8 dB(A), verifying the model effectiveness. The results provide a systematic design basis and parameter tuning method for on-site active noise reduction engineering of substations.