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Academic Journal of Computing & Information Science, 2022, 5(1); doi: 10.25236/AJCIS.2022.050101.

Application Analysis of Electrical Automation Based on Artificial Intelligence Technology


Lu Zhou1, Yu Cui2

Corresponding Author:
Lu Zhou

1School of Electrical and Information Engineering, Liaoning Institute of Science and Technology, Benxi 117004, Liaoning, China

2Siemens Ltd., China, Beijing, 110000, China


The business goals of power companies are low operating costs, high asset efficiency, and low transmission and distribution losses, making the intelligent development of distribution networks an inevitable trend to improve overall operating efficiency in the future. Distribution network automation and intelligence help to optimize the operation mode of the distribution network by monitoring the operation status of the distribution network during the normal operation of the distribution network, which can improve the reliability of the distribution network equipment and reduce the labor intensity and maintenance costs of the operators. This article uses artificial intelligence technology to design an electrical automation system, and applies the system to the intelligent inspection of substation equipment failures. By comparing the common electrical automation system and the electrical automation system under artificial intelligence technology, the fault recognition rate of the substation equipment is found. The intelligent automation system has a higher recognition rate of equipment failures, reduces the workload of maintenance personnel to repair the failures, and maintains the continuous power supply of the grid.


Artificial Intelligence Technology, Electrical Automation, Equipment Failure, Intelligent Distribution Network

Cite This Paper

Lu Zhou, Yu Cui. Application Analysis of Electrical Automation Based on Artificial Intelligence Technology. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 1: 1-6. https://doi.org/10.25236/AJCIS.2022.050101.


[1] Majumdar B , Sarode S C , Sarode G S , et al. Technology: Artificial intelligence[J]. British dental journal, 2018, 224(12):916-916.

[2] Wang K , Li W . Application of Electrical Automation Technology in Power System[J]. Journal of Power and Energy Engineering, 2019, 07(5):8-13.

[3] Aghili S J , Hajian-Hoseinabadi H . Reliability evaluation of repairable systems using various fuzzy-based methods – A substation automation case study[J]. International Journal of Electrical Power & Energy Systems, 2017, 85(Complete):130-142.

[4] Madhavan R , Amory A , Prestes E , et al. 2014 Humanitarian Robotics and Automation Technology Challenge [Humanitarian Technology][J]. IEEE Robotics & Automation Magazine, 2017, 24(4):127-129.

[5] Pendleton I M , Cattabriga G , Li Z , et al. Experiment Specification, Capture and Laboratory Automation Technology (ESCALATE): a software pipeline for automated chemical experimentation and data management[J]. MRS Communications, 2019, 9(3):1-14.

[6] Zhao C . Application of Virtual Reality and Artificial Intelligence Technology in Fitness Clubs[J]. Mathematical Problems in Engineering, 2021, 2021(20):1-11.

[7] Madhavan R , Amory A , Prestes E , et al. The 2017 Humanitarian Robotics and Automation Technology Challenge [Humanitarian Technology][J]. IEEE Robotics & Automation Magazine, 2017, 24(4):127-129.

[8] Arthanat S , Hong C , Wilcox J . Determinants of information communication and smart home automation technology adoption for aging-in-place[J]. Journal of Enabling Technologies, 2020, 14(2):73-86.

[9] Ralston J C , Hargrave C O , Dunn M T . Longwall automation: trends, challenges and opportunities[J]. International Journal of Mining Science and Technology, 2017, 27( 5):733-739.

[10] Delsing J . Local Cloud Internet of Things Automation: Technology and Business Model Features of Distributed Internet of Things Automation Solutions[J]. IEEE Industrial Electronics Magazine, 2017, 11(4):8-21.

[11] Herzog C , Hoffmann N . Automating Morals – On the Morality of Automation Technology, Ironies of Automation and Responsible Research and Innovation[J]. IFAC-PapersOnLine, 2020, 53(2):17457-17462.

[12] Polina M , Lucy O , Yury Y , et al. Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare[J]. Oncotarget, 2018, 9(5):5665-5690.