<p>Double fed power supply exhibits complex transient characteristics during short-circuit faults and significant vulnerability during low voltage ride through, posing challenges to its protection configuration. This article focuses on a short-circuit current protection setting algorithm for doubly fed power supply based on K-means clustering. A mathematical model of a doubly fed power supply in the dq coordinate system was constructed using the Park transformation principle. Based on this model, a deep analysis of the short-circuit current characteristics of the doubly fed power supply is conducted to determine the setting scheme for the short-circuit current. In addition, by introducing particle swarm optimization algorithm to optimize the K-means clustering process, the clustering results are used to identify short-circuit faults in doubly fed power supplies. Once a short circuit fault is detected, the protection device will activate to adjust the short circuit current. The experimental results show that the algorithm can effectively regulate the short-circuit current during the short-circuit fault of the doubly fed power supply, helping it quickly recover to normal operation.</p>