Abstract: Detecting and tracking space objects are fundamental to space situational awareness (SSA); yet their highly stochastic dynamics poses substantial challenges to SSA tasks. To enhance the flexibility and stability of multi-satellite systems in high-dynamic environments, an event-triggered local task replanning method is developed within the framework of rolling horizon planning. Based on target priorities, the proposed method automatically adjusts the satellites involved in decision-making for local replanning. By implementing a distributed potential game algorithm, the task allocation scheme is optimized, enabling new tasks to be seamlessly integrated into the ongoing satellite action sequences. Comparative experiments with conventional periodic rolling horizon planning show that the proposed method effectively reduces the communication cost during the decision-making process, while improving system responsiveness, decision timeliness, and target tracking accuracy.