N-k Contingency Identification And Path Search Based On Condition-Based Maintenance

Combining Condition-Based Maintenance (CBM) with large-area power-failure, an N-k contingency analysis method based on CBM is proposed. First, a search method for system state is studied, which aims at slow continual outage stage. By use of the theory of functional group decomposition and modified searching approach, N-k contingency identification is implemented. On the basis of real-time data of CBM, the current failure probability of equipments is calculated. Applying rare event approximation and event tree analysis technique to the study of N-k contingency, the failure probability model for N-k contingency is built. According to actual operation modes of power network and monitoring results of CBM, the online searching and screening of N-k contingency path is achieved, based on probability prioritization strategy. Finally, the proposed algorithm is realized by VC++ language. Taking three substations in Anyang power network for example, the correctness of the proposed method is verified.