Distribution network (DN) operation and maintenance information management system (IMS) based on BP neural network

Shijie Gong; Chu Li

doi:10.1117/12.2640066

9 May 2022 Distribution network (DN) operation and maintenance information management system (IMS) based on BP neural network

Shijie Gong, Chu Li

Author Affiliations +

Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 1225204 (2022) https://doi.org/10.1117/12.2640066
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China

Abstract

With the rapid development of the energy industry, the power industry has also begun to rise, especially the household meter system, which is being implemented now, so that the mining and approval of electricity meters are also increasing. Using BPNN algorithm, this paper studies the DN operation and maintenanceIMS, and discusses the functional requirements of DN operation and maintenance information management, as well as BPNN and design scheme; The statistical analysis of user and load control data in the DN operation and maintenance information management statistical database shows that the average load rate of DN lines of industrial users is as high as 81% and the utilization rate of power station interval is 23%; The average load rate of DN lines of users in administrative office and the utilization rate of power station interval are 62%. The confidentiality of user basic information, user load data sheet, line load and economic data sheet has reached more than 80%, and the line load operation efficiency is only 53%, which needs to be improved.

Citation Download Citation

Shijie Gong and Chu Li "Distribution network (DN) operation and maintenance information management system (IMS) based on BP neural network", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 1225204 (9 May 2022); https://doi.org/10.1117/12.2640066

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