摘要
Abstract
The factors influencing on power grid safety are various. In order to improve the accuracy of the power grid secu-rity assessment system,and reduce the subjective human error,an assessment indicator system composed of power grid,opera-tion mode regulating the running,relay protection device,electric power communication,scheduling automation and other elec-trical devices was developed. The analytic hierarchy process(AHP)is used to analyze the assessment indicator system,and sim-plify the manifold safety indicators. The safety evaluation model of neural network was constructed by means of the nonlinear mapping and self-learning ability of neural network. The experimental results show this model can reduce the quantity of safety indicators,simplify the security assessment,avoid the impact of subjective human factors,improve the accuracy of the safety as-sessment,and make the assessment result more scientific.关键词
层次分析法/神经网络/评估模型/安全评估Key words
analytic hierarchy process/neural network/evaluation model/safety assessment分类
信息技术与安全科学
