A real-time transient stability assessment scheme for large-scale power systems based on fuzzy reasoning

A novel multi-layer TSA scheme is presented in this paper to tackle the fast transient stability assessment (TSA) problem for large-scale power systems. A sample-based correlation algorithm is proposed for screening the input attributes. Identification of the critical clustering and estimation of the stability level and CCT based on fuzzy reasoning are realized. Simulation tests confirm the feasibility and advantages of the proposed method.