Operational Risk Informationization Evaluation Algorithm of China Southern Power Grid Company Limited

Aiming at the problem that the traditional method has great computational complexity and low evaluation accuracy for the operational risk evaluation of power grid companies, a new operational risk informationization evaluation algorithm for China Southern Power Grid Company Limited is proposed. By obtaining the correlation among the operating data of the grid company under different factors, the risk optimal value of the evaluation object constitutes the optimal evaluation index set, and the gray correlation coefficient between the risk evaluation object and the evaluation index is calculated. On this basis, The risk grade of the evaluation index is divided into five risk grades. This paper scores the operational risk grade of China Southern Power Grid Company Limited, gets the evaluation sample matrix, obtains the evaluation gray class self-weighting function corresponding to the evaluation gray class number, finds the gray evaluation weight vector and the weight matrix, and finds the comprehensive evaluation value and sort simultaneously to complete the operational risk informationization evaluation of the China Southern Power Grid Company Limited. The experimental results show that compared with the traditional method, using the proposed algorithm to evaluate the operational risk informationization of China Southern Power Grid Company Limited, the computational complexity is low, and the evaluation accuracy can be effectively improved, thus improving the operational safety of the grid company.