Risk Rating Framework of Power Grid Business Entities Based on AHP

Aiming at the influence factors of abnormal business entities in power grid system and the harm degree of alarm events, this paper proposes a risk assessment framework of power grid business entities based on AHP. Firstly, the machine learning algorithm is used to detect the abnormal events. Secondly, the AHP is used to determine the weight of each influencing factor of power grid system risk. The probability of abnormal events under the joint action of different influencing factors is calculated, and the risk level of the system is quantified by using the definition of risk quantification. The experimental results show that the framework can effectively evaluate the risk of power grid system and provide decision support for system managers.