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Application and Prospect of AI Technology in Power System Development

Authors :
Shuwei LIU
Hechen YANG
Xia YU
Bin SHU
Qirong WU
Source :
南方能源建设, Vol 11, Iss 5, Pp 149-158 (2024)
Publication Year :
2024
Publisher :
Energy Observer Magazine Co., Ltd., 2024.

Abstract

[Introduction] In the face of energy scarcity and carbon reduction imperatives, the transition to clean energy centered on electricity is crucial. To achieve this, power system development must prioritize stability, automation and intelligence. Artificial intelligence (AI) technology is a key means to realize this goal. [Method] This paper introduced the carbon emissions of domestic and foreign power systems at first, and pointed out the difficulties and feasible solutions for low-carbon development of the power system in China on this basis. Then, the application and prospect of AI technology in power system development were discussed. [Result] In response to the transition to low-carbon and low-energy power systems, a series of low-carbon development routes, such as integration of capital and resources in the thermal power industry, low-carbon transition (such as the application of carbon capture technology), and promoting the consumption of and smooth replacement by clean energy, were proposed in this paper. It was also noted that AI technology will play a crucial role in automating, intelligentizing and optimizing power systems, with wide-ranging applications in power dispatching, relay protection, power equipment management, power system stability evaluation, and decision-making processes. [Conclusion] As third-generation AI technology continues to evolve and fourth-generation AI technology emerges, the application of AI technology in the power system will become increasingly widespread.

Details

Language :
English, Chinese
ISSN :
20958676
Volume :
11
Issue :
5
Database :
Directory of Open Access Journals
Journal :
南方能源建设
Publication Type :
Academic Journal
Accession number :
edsdoj.87225bd4bd4c44e994dcc3d0cc148f3a
Document Type :
article
Full Text :
https://doi.org/10.16516/j.ceec.2024.5.16