Study on security risk assessment of power system based on BP neural network

State Grid NARI Technology Co. Ltd., Nanjing, 211106, China As an important part of the national life, power system is of great significance in its security risk assessment. In this paper, the selection principle of security risk assessment index of power system, and the construction methods of security risk assessment system in the power system are elaborated. Hardware equipment, software equipment, information system, network system and service quality are taken as the evaluation index; principal component analysis is adopted to extract the six indexes, the extracted results are taken as a characteristic index of hardware equipment, and other factors are taken as a comprehensive index. BP neural network is regarded as the theoretical basis; under the premise of setting the characteristic value of security risk of power system, the assessment method of security risk of power system is presented. © Copyright 2016 American Scientific Publishers All rights reserved.