Research on modeling method of power system network security risk assessment based on object-oriented Bayesian network
Yueli Dong, Bin Sun, Gang Wang
Abstract
A modeling method of security risk assessment for power system network is presented in this paper. The modeling method is divided into three steps. Firstly, Object-oriented Bayesian network(OOBN) is used for structural modeling to avoid the state explosion caused by the large scale of the network. Secondly, Combined with expert knowledge, an effective parameter modeling method is proposed. Based on the OOBN model, the parallel computing reasoning method of OOBN subnet is studied to reduce the complexity of joint probability calculation and improve the calculation timeliness. Finally, the prototype of power information test system is designed to verify the effectiveness of the model. The results show that the method can be used in the security risk assessment for power system network efficiently.