To address the issues of decreased performance in traditional current differential protection and poor robustness of existing dynamic state estimation, a protection method for PV station transmission line, based on recursive maximum entropy dynamic state estimation, is proposed. This method is unaffected by power source characteristics and can handle measurement data containing significant outliers. Firstly, the adaptability of traditional current differential protection in PV station transmission line is analyzed, revealing the limitations of traditional current differential protection. Then, based on Kirchhoff's law, a dynamic state estimation model for AC transmission lines is constructed. On this basis, considering the impact of large outliers on measurement data, the nonlinear modeling capability of the maximum correntropy Gaussian kernel function and the smooth decision boundary characteristics are utilized to ensure that the dynamic state estimation results are not disturbed by outliers. Finally, a centralized PV station grid-connected model is built on the Matlab/Simulink platform, and the superiority, sensitivity, reliability, and robustness of the proposed protection method under different faults are verified.

photovoltaic station  /  transmission line  /  dynamic state estimation  /  recursive maximum correntropy  /  robustness  /  reliability