Power system risk security assessment based on maximum information entropy principle

This paper presents a new method for risk assessment of the power system security. The maximum information entropy principle is introduced to acquire the probability distribution of component's fault. So the probability of the power system fault is obtained by power system fault model. The electric betweenness is added to the severity index as the weight of component, which reflects the severity of different faults to the power system. Lastly, in the combination with the probability of power system fault and the severity index, the power system risk assessment model is established. This method overcomes the shortcomings of the traditional risk assessment methods that couldn't find the accurate power system fault probability which is a small probability event from the limited historical data. At last, the validity and feasibility of proposed method is verified by the calculation result of IEEE-30 system.