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With the rapid development of smart grid, the alarm management method used in the existing smart power communication network cannot meet the logical requirements of the new business in the network. So this paper introduces an alarm correlation analysis method based on Bayesian network. Firstly, the structure, training method and the learning mode of Bias network are analyzed, and the method of parameter learning is given, structure learning and updating learning of Bayesian network is proposed. Secondly, this paper models smart power distribution network fault and alarm, give the process of analysis, and describes each stage of the Bayesian model. Finally, the high efficiency and reliability of the application of Bayesian network in smart power distribution communication network alarm correlation analysis is verified by the simulation experiment which using JAVA language simulates application scenarios. The experimental results show the superiority of the proposed method.

Alarm Correlation Analysis Method for Smart Power Distribution and Utilization Communication Network Based on Bayesian Networks