A survey of distributed optimization

doi:10.1016/j.arcontrol.2019.05.006

CSpace > 系统科学研究所

	A survey of distributed optimization
	Yang, Tao 1; Yi, Xinlei 2; Wu, Junfeng 3; Yuan, Ye 4,5; Wu, Di 6; Meng, Ziyang 7,8; Hong, Yiguang9 ; Wang, Hong 10; Lin, Zongli 11; Johansson, Karl H.2
	2019
发表期刊	ANNUAL REVIEWS IN CONTROL
ISSN	1367-5788
卷号	47 页码:278-305
摘要	In distributed optimization of multi-agent systems, agents cooperate to minimize a global function which is a sum of local objective functions. Motivated by applications including power systems, sensor networks, smart buildings, and smart manufacturing, various distributed optimization algorithms have been developed. In these algorithms, each agent performs local computation based on its own information and information received from its neighboring agents through the underlying communication network, so that the optimization problem can be solved in a distributed manner. This survey paper aims to offer a detailed overview of existing distributed optimization algorithms and their applications in power systems. More specifically, we first review discrete-time and continuous-time distributed optimization algorithms for undirected graphs. We then discuss how to extend these algorithms in various directions to handle more realistic scenarios. Finally, we focus on the application of distributed optimization in the optimal coordination of distributed energy resources. (C) 2019 Elsevier Ltd. All rights reserved.
关键词	Distributed optimization Coordination of distributed energy resources
DOI	10.1016/j.arcontrol.2019.05.006
语种	英语
资助项目	U.S. Department of Energy[DE-AC05-00OR22725] ; Department of Energy
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:000474680200022
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/35130
专题	系统科学研究所
通讯作者	Yuan, Ye
作者单位	1.Univ North Texas, Dept Elect Engn, Denton, TX 76203 USA 2.KTH Royal Inst Technol, Sch Elect Engn & Comp Sci, Div Decis & Control Syst, S-10044 Stockholm, Sweden 3.Zhejiang Univ, Coll Control Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China 4.Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan 430074, Hubei, Peoples R China 5.Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Hubei, Peoples R China 6.Pacific Northwest Natl Lab, Richland, WA 99352 USA 7.Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China 8.Tsinghua Univ, State Key Lab Precis Measurement Technol & Instru, Beijing 100084, Peoples R China 9.Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 10.Oak Ridge Natl Lab, Oak Ridge, TN 37932 USA 11.Univ Virginia, Charles L Brown Dept Elect & Comp Engn, Charlottesville, VA 22904 USA
推荐引用方式 GB/T 7714	Yang, Tao,Yi, Xinlei,Wu, Junfeng,et al. A survey of distributed optimization[J]. ANNUAL REVIEWS IN CONTROL,2019,47:278-305.
APA	Yang, Tao.,Yi, Xinlei.,Wu, Junfeng.,Yuan, Ye.,Wu, Di.,...&Johansson, Karl H..(2019).A survey of distributed optimization.ANNUAL REVIEWS IN CONTROL,47,278-305.
MLA	Yang, Tao,et al."A survey of distributed optimization".ANNUAL REVIEWS IN CONTROL 47(2019):278-305.