Academic Journal of Computing & Information Science, 2022, 5(1); doi: 10.25236/AJCIS.2022.050101.
Lu Zhou1, Yu Cui2
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
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.
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