Analysis of application scenarios and extension of key technologies of smart distribution network

Yu Luo; Zixian Zeng; Zongyang Liu

doi:10.1117/12.2671461

1 June 2023 Analysis of application scenarios and extension of key technologies of smart distribution network

Yu Luo, Zixian Zeng, Zongyang Liu

Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 1262513 (2023) https://doi.org/10.1117/12.2671461
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China

Abstract

In the technological innovation of science and technology development of social economy, the advanced technologies such as artificial intelligence and big data as the core of intelligent distribution network to get people's attention, compared with the traditional sense of the distribution network system, intelligent distribution network has some characteristics such as self-healing, compatibility and integration, can guarantee intelligence of each link and module function of the distribution network, And combined with geographic information system to provide users with quality services. Therefore, on the basis of understanding the research and development status of intelligent distribution network, this paper conducts empirical analysis on the specific application of intelligent planning and design management system of urban distribution network according to the key technology analysis of intelligent distribution network. The final results show that smart distribution network and its key technologies have a wide range of application and promotion in the current power grid field, which meets the operation needs of employees in various departments and can ensure the coordination and unification of power enterprises, power users and system operation.

Citation Download Citation

Yu Luo, Zixian Zeng, and Zongyang Liu "Analysis of application scenarios and extension of key technologies of smart distribution network", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 1262513 (1 June 2023); https://doi.org/10.1117/12.2671461

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