Smart grid dispatch powered by deep learning:a survey

作     者：Gang HUANG Fei WU Chuangxin GUO Gang HUANG;Fei WU;Chuangxin GUO

作者机构：Zhejiang LabHangzhou 311121China College of Computer Science and TechnologyZhejiang UniversityHangzhou 310027China College of Electrical EngineeringZhejiang UniversityHangzhou 310027China 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2022年第23卷第5期

页      面：763-776页

核心收录：

学科分类：0710[理学-生物学] 0808[工学-电气工程] 080802[工学-电力系统及其自动化] 08[工学] 081104[工学-模式识别与智能系统] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Project supported by the National Natural Science Foundation of China(Nos.52007173 and U19B2042) the Zhejiang Provincial Natural Science Foundation of China(No.LQ20E070002) Zhejiang Lab’s Talent Fund for Young Professionals(No.2020KB0AA01)。 

主　　题：Artificial intelligence Deep learning Power dispatch Smart grid 

摘      要：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.