MAS-Based Energy Management Strategies for a Hybrid Energy Generation System

doi:10.1109/TIE.2016.2524411

	MAS-Based Energy Management Strategies for a Hybrid Energy Generation System
	Yu, Junzhi1 ; Dou, Chunxia 2; Li, Xinbin 2
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
	2016-06-01
卷号	63 期号:6 页码:3756-3764
文章类型	Article
摘要	An advanced control scheme for managing a hybrid energy generation system (HEGS) is presented in this paper. A hierarchical management and control architecture based on multi-agent systems (MAS) is discussed. MAS will account for the complex behavior of a hybrid energy supply system. The management and control strategies are implemented through a system of agents based on three tiers. The upper level agents develop overall energy management strategies for a hybrid energy supply system. The middle-level agents integrate coordinated switching controllers. The lower level agents are responsible for dealing with local control strategies. Coordinated switching controllers within the middle-level agents are designed as event-triggered hybrid controllers based on differential hybrid Petri-net (DHPN) models. The operation modes of distributed energy resources (DERs) can smoothly transfer in a coordinated manner due to the coordinated action of the switching controllers according to variation in operating conditions. Finally, simulation results from different scenarios verifying the feasibility of the proposed scheme are offered.
关键词	Control Strategies Energy Management Event-triggered Hybrid Control Hybrid Energy Generation System (Hegs) Multi-agent System (Mas)
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TIE.2016.2524411
关键词[WOS]	FUEL CELL/BATTERY HYBRID ; ELECTRIC-POWER SYSTEMS ; MICROGRIDS ; CELL ; MODEL
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61573300 ; Beijing Natural Science Foundation(4161002) ; 61172095 ; 61375102)
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000376120000042
引用统计	被引频次：37[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12227
专题	复杂系统认知与决策实验室_先进机器人
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Yu, Junzhi,Dou, Chunxia,Li, Xinbin. MAS-Based Energy Management Strategies for a Hybrid Energy Generation System[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,2016,63(6):3756-3764.
APA	Yu, Junzhi,Dou, Chunxia,&Li, Xinbin.(2016).MAS-Based Energy Management Strategies for a Hybrid Energy Generation System.IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS,63(6),3756-3764.
MLA	Yu, Junzhi,et al."MAS-Based Energy Management Strategies for a Hybrid Energy Generation System".IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 63.6(2016):3756-3764.

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