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.
This work is supported by the project of State Grid (No. 5400-201919144A-0-0-00): Research and Application on Key Technologies of Virtual Agent for Power Supply Service Command Based on Artificial Intelligence.
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Chen, L. et al. (2020). Research and Design of Distribution Equipment Health Early Warning System. In: Qiu, M. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Lecture Notes in Computer Science(), vol 12452. Springer, Cham. https://doi.org/10.1007/978-3-030-60245-1_39
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DOI: https://doi.org/10.1007/978-3-030-60245-1_39
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