Automatic Monitoring of Grid Operation Risks Based on Data Mining

On the basis of recognizing importance of safe operation in power grid, more comprehensive evaluation index system is built in this paper for power grid engineering operations. Moreover, interval analytic hierarchy process is used to determine weight of evaluation index, which greatly reduces influence of subjective factors and makes evaluation index more scientific and reasonable. Besides, concept of interval number is introduced to minimize influence of subjective factors in determining weight of evaluation indicators. In addition, power grid operation is divided into four subsystems structure, equipment, management, and environment so that comprehensive evaluation and research on grid operation risks can be performed. What’s more, factors affecting power grid engineering are divided into static influence factors in which structure of power grid and operating status of equipment are concluded and dynamic influence factors where external environment and internal management are involved. Additionally, according to characteristics and requirements of power grid engineering, matter-element extension method is used to construct evaluation model and calculate its correlation degree. Besides it, combined with examples to prove applicability of model, it is pertinently pointed out that operation and maintenance management of equipment need to be strengthened so that professionalism and skills of management personnel can be improved, and safe and stable operation of power grid will be guaranteed.