Application of Transfer Entropy Algorithm in Fault Detection for Power System with Wind Turbines

As the controllability of power electronic devices associated with wind turbines leads to a variety of fault characteristics, fault detection for power system with wind turbine has become a serious challenge. The theory of information entropy can quantify the degree of system uncertainty which has achieved good application results in the field of feature extraction and fault detection for power system. This paper proposed a solution to detect faults through transfer entropy algorithm. Firstly, the fundamentals of the algorithm is introduced. Then the algorithm is implemented on the field testing data of wind turbine fault ride through, and the details of parameter optimization is described. Finally, the adaptability of transfer entropy is studied considering different wind turbine capacities, controller models and different grid faults. This study provides theoretical and practical basis for the application of transfer entropy algorithm in the field of feature extraction and fault detection for power system.