Optimization of Distribution Automation System Based on Artificial Intelligence Wireless Network Technology

Author:

Tian Weihua1ORCID,Meng Xiangbin1ORCID,Wang Jianing2ORCID,Yan Hongkui1ORCID

Affiliation:

1. School of Automation, Shenyang Institute of Engineering, Shenyang, Liaoning 110136, China

2. College of Transportation Engineering, Dalian Maritime University, Dalian, Liaoning 116026, China

Abstract

In order to further improve the automation setting of distribution system, this paper proposes an optimization research of distribution automation system based on artificial intelligence wireless network technology. This method uses artificial intelligence wireless network technology to optimize the automation of distribution system and improve the automation ability of distribution system. The experimental results show that when the number of iterations in the training process reaches 338, the mean square error is 0.001. Conclusion. The optimization research method of distribution automation system based on artificial intelligence wireless network technology can more effectively improve the automation level of distribution system.

Funder

Department of Education of Liaoning Province

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Research on substation monitoring information eventisation based on artificial intelligence and BP neural network;2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE);2023-09-23

2. Retracted: Optimization of Distribution Automation System Based on Artificial Intelligence Wireless Network Technology;Journal of Sensors;2023-09-14

3. Regional Division Based on Smart Terminals and Localization Method of Power Distribution Network;2023 5th International Conference on Power and Energy Technology (ICPET);2023-07-27

4. Matrix Algorithm for the Fault Localization and Failback of Power Distribution Network Based on the Feeder Terminal Units;2023 6th International Conference on Energy, Electrical and Power Engineering (CEEPE);2023-05-12

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