Probability analysis model and risk assessment of N-k contingency based on condition-based maintenance

Combining condition-based maintenance (CBM) with large-area power-failure, an N-k contingency on-line identification method based on CBM is proposed in this paper. According to real-time data of CBM, a failure possibility model for equipments is built, and the online searching and screening of N-k contingency path are implemented by use of the theory of functional group and modified searching approach; based on utility theory and monitoring results of CBM, risk assessment model of N-k contingency is established. Finally, the proposed method is realized by C++ language. Taking three substations in Anyang power grid for example, the correctness of the proposed method is verified.