Research and Design of Distribution Equipment Health Early Warning System

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Abstract

Load forecasting and health early warning of distribution equipment is a very active research field and an important aspect, which can guarantee the system stability under large disturbances and optimize the distribution of energy resources in the smart grid. Therefore, it is of great significance to design and develop a distribution equipment health early warning system based on the demand of staff for monitoring and early warning of distribution equipment. In this paper, the analysis and design of distribution transformer health early warning system are carried out, and the goal of early warning system is defined. The whole frame and deployment architecture of system are presented. Moreover, the design flow of the system core function modules and the design pattern and the framework for system development are given. The system monitors and forewarns the operation status of the distribution network equipment, and sends the abnormal situation of the early warning result to the staff, which can save the manpower and material resources wasted due to manual troubleshooting.

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APA

Chen, L., Yu, H., Tong, L., Jin, P., Zheng, W., Huai, X., & Huang, Y. (2020). Research and Design of Distribution Equipment Health Early Warning System. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12452 LNCS, pp. 579–590). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60245-1_39

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