The Grid Voltage's Asymmetrical Fault Detection Method based on Variable-Step LMS Adaptive Notch Filter Algorithm

2019 3rd International Workshop on Renewable Energy and Development

能源学;生态环境科学

Wang, Yifan^1 ; Wang, Shuhong^1 ; Zhang, Ailing^1 ; Wang, Jingxuan^1

College of Electrical and Power Engineering, Taiyuan University of Technology, Shanxi Province, Taiyuan

030024, China^1

关键词: Adaptive notch filters;    Controllable parameters;    Fault detection algorithm;    Least mean square (LMS);    LMS adaptive algorithms;    Matlab/Simulink simulation;    Negative sequence components;    Wind turbine systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/267/4/042033/pdf
DOI  :  10.1088/1755-1315/267/4/042033

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

For wind turbine systems (WTS), the grid voltage fault detection algorithm determines the response speed of WTS to grid voltage fault. This paper proposed a sort of voltage asymmetrical fault detection method, to detect negative-sequence component in grid voltage, variable-step (VS) least mean square (LMS) adaptive notch filter (ANF) is applied to eliminate the 2nd-harmonic frequency component. The application of ANF can separate negative-sequence component from grid voltage, therefore the voltage asymmetrical fault can be detected; the self-tuning of controllable parameters of ANF can be realized by the LMS adaptive algorithm, which is convenient and efficient in practical application; furthermore, because the variable step size adjustment is adopted, the contradiction between convergence rate and steady-state error of ANF can be solved. The MATLAB/Simulink simulation and FFT analysis results are in conformity with the theorical analysis, which proves the feasibility of the method.