Artificial Intelligence Techniques in Smart Grid: A Survey

被引:115
|
作者
Omitaomu, Olufemi A. [1 ,2 ]
Niu, Haoran [2 ]
机构
[1] Oak Ridge Natl Lab, Computat Sci & Engn Div, Oak Ridge, TN 37831 USA
[2] Univ Tennessee, Tickle Coll Engn, Knoxville, TN 37996 USA
来源
SMART CITIES | 2021年 / 4卷 / 02期
关键词
electric power grid operations; control systems; artificial intelligence; grid operators; energy systems; TRANSIENT STABILITY ASSESSMENT; FAULT-DETECTION; POWER-SYSTEMS; ENERGY MANAGEMENT; NEURAL-NETWORK; LOAD; MACHINE; DEEP; MODEL; CLASSIFICATION;
D O I
10.3390/smartcities4020029
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The smart grid is enabling the collection of massive amounts of high-dimensional and multi-type data about the electric power grid operations, by integrating advanced metering infrastructure, control technologies, and communication technologies. However, the traditional modeling, optimization, and control technologies have many limitations in processing the data; thus, the applications of artificial intelligence (AI) techniques in the smart grid are becoming more apparent. This survey presents a structured review of the existing research into some common AI techniques applied to load forecasting, power grid stability assessment, faults detection, and security problems in the smart grid and power systems. It also provides further research challenges for applying AI technologies to realize truly smart grid systems. Finally, this survey presents opportunities of applying AI to smart grid problems. The paper concludes that the applications of AI techniques can enhance and improve the reliability and resilience of smart grid systems.
引用
收藏
页码:548 / 568
页数:21
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