An Estimation Algorithm of Power System Frequency in Impulse Noise Environment

With the widespread use of distributed power generation devices and nonlinear power electronic devices in smart grid, the noise in the actual environment of the smart grid shows obvious impulse characteristics. To solve the above problems, this paper proposed a generalized weighted linear prediction algorithm based on the least p norm (lp-GWLP). That is, combining the linear prediction property with the weighted least p norm. Firstly, the whitening transform is used to preprocess the data to remove the correlation in the error. Then the least p norm (lp) is used to calculate the independent error data. Finally, the iterative reweighted least square method is used to achieve the frequency estimation. Simulation results show that the proposed scheme can achieve reliable frequency estimation in the case of harmonic, amplitude oscillation, and voltage interruption in the impulse noise environment.