Adaptive Sub/Super-synchronous Components Detection Method Based on Robust Regression Smoothing

Abstract

The increasing penetrations of converter-based renewable energy resources and nonlinear loads make it urgent to develop a detection method to adaptively monitor the sub/super-synchronous components to further detect the potential risk of the co-existence and cooperation of hundreds or thousands of converters. This paper proposes an enhanced adaptive sub/super-synchronous components detection method based on robust regression smoothing filtering (RRSF). According to simulation tests, the proposed method can detect the time-varying sub/super-synchronous components in the noisy signals with SNR of 0 dB and is robust to the colored property of background noise.