Study of power grid development diagnosis system based on multi-source data analysis

2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)(2017)

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摘要
In view of the current problems of miscellaneous data channel, huge-scale information and rough evaluation method in power grid development diagnosis analysis, a study of power grid development diagnosis system is conducted based on multi-source data analysis. With the interface to product management system (PMS), energy management system (EMS), distribution automation system (DAS), electric information acquisition system, and power grid geographic information system (GIS), multi-source data fusion is realized by the integrated multi-platform data acquisition mechanism. And then based on the network topology and the operation data analysis, the studies of integrated diagnostic analysis of power grid, weak link assessment and early warning of power grid and the whole process management of potential problem are conducted to realize the step by step penetration of the state scan and the status promotion of the full voltage level of power grid. The proposed method can provide scientific basis for the preparation and post-evaluation of power grid planning. Field application of Shandong provincial power grid of China illustrates the economic benefit and management benefit of the system.
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关键词
power,grid,development,diagnosis,multi-source data fusion,evaluation indexes,early warning
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