Optimal energy management of residential battery storage under uncertainty

doi:10.1002/2050-7038.12713

	Optimal energy management of residential battery storage under uncertainty
	Su, Hao 2,3; Zhou, Yun 2,3; Feng, Donghan 2,3; Li, Hengjie 1,2; Numan, Muhammad 2,3
刊名	INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
	2021-02
卷号	31 期号:2 页码:-
关键词	PV SYSTEMS SOLAR PV OPTIMIZATION OPERATION POWER FORECAST LOAD COORDINATION MICROGRIDS RESOURCES
ISSN号	2050-7038
DOI	10.1002/2050-7038.12713
英文摘要	Backgroud: The uncertainty associated with renewable generation and loads imposes various challenges for the economic operation of microgrids. On the residential side, energy storage systems are implemented with high expectations to enhance photovoltaic power consumption and electricity price arbitrage. Aims: This paper proposes an expectation-oriented stochastic model for optimal energy management of household batteries to cope with the uncertain electricity generation and consumption. Materials & Methods: The exact cost expectation of daily operation is formulated as an alternative to the conventional scenario-based average approximation. A predictive control-based battery scheduling mechanism is developed further to apply the proposed model to intraday energy storage management. Results: Simulation results validate the convexity of the proposed model. Discussion: Although nonlinear in nature, the resultant optimization problem is proven to be convex, which ensures computable global optimal solutions for the proposed model. Conclusion: Simulation results demonstrate the effectiveness of the proposed scheduling strategy compared with existing methods.
WOS研究方向	Engineering
语种	英语
出版者	John Wiley and Sons Ltd
WOS记录号	WOS:000606972100001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/147346]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Peoples R China 2.Minist Educ, Key Lab Control Power Transmiss & Convers SJTU, Shanghai 200240, Peoples R China; 3.Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Dept Elect Engn, Shanghai 200240, Peoples R China;
推荐引用方式 GB/T 7714	Su, Hao,Zhou, Yun,Feng, Donghan,et al. Optimal energy management of residential battery storage under uncertainty[J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS,2021,31(2):-.
APA	Su, Hao,Zhou, Yun,Feng, Donghan,Li, Hengjie,&Numan, Muhammad.(2021).Optimal energy management of residential battery storage under uncertainty.INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS,31(2),-.
MLA	Su, Hao,et al."Optimal energy management of residential battery storage under uncertainty".INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 31.2(2021):-.