Smart grid dispatch powered by deep learning: a survey

Power dispatch is a core problem for smart grid operations. It aims to provide optimal operating points within a transmission network while power demands are changing over space and time. This function needs to be run every few minutes throughout the day; thus, a fast, accurate solution is of vital...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2022-05, Vol.23 (5), p.763-776
Main Authors: Huang, Gang, Wu, Fei, Guo, Chuangxin
Format: Article
Language:English
Subjects:
Artificial intelligence
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Deep learning
Electrical Engineering
Electronics and Microelectronics
Instrumentation
Networks
Power dispatch
Review Article
Smart grid
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Summary:Power dispatch is a core problem for smart grid operations. It aims to provide optimal operating points within a transmission network while power demands are changing over space and time. This function needs to be run every few minutes throughout the day; thus, a fast, accurate solution is of vital importance. However, due to the complexity of the problem, reliable and computationally efficient solutions are still under development. This issue will become more urgent and complicated as the integration of intermittent renewable energies increases and the severity of uncertain disasters gets worse. With the recent success of artificial intelligence in various industries, deep learning becomes a promising direction for power engineering as well, and the research community begins to rethink the problem of power dispatch. This paper reviews the recent progress in smart grid dispatch from a deep learning perspective. Through this paper, we hope to advance not only the development of smart grids but also the ecosystem of artificial intelligence.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2000719