Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China

doi:10.1007/s11708-020-0660-9

	Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China
	Li, Pei 1,2,3,4; Cai, Guotian 1,2,3; Zhang, Yuntao 1,2,3; Ke, Shangjun 1,2,5; Wang, Peng 1,2,3; Gao, Liping 1,2,3
刊名	FRONTIERS IN ENERGY
	2020-03-30
页码	13
关键词	generation-grid-load-storage energy internet economy-environment-energy efficiency multi-objective optimal allocation mathematical model
ISSN号	2095-1701
DOI	10.1007/s11708-020-0660-9
通讯作者	Cai, Guotian(caigt@ms.giec.ac.cn)
英文摘要	To improve the overall efficiency of the energy system, the basic structure for the energy internet of coordination and optimization of "generation-grid-load-storage" of Huangpu District, Guangzhou, China is designed, while the arrangement for the output of centralized and distributed energy module and energy storage are proposed. Taking economic benefit maximization, environmental benefit maximization and energy efficiency maximization as sub-objectives, the mathematical model of multi-objective optimal allocation and operation strategy of the energy internet is established considering supply-demand balance constraints, equipment characteristic constraints, operation mode constraints, and energy conditions constraints. The calculation results show that without considering the outsourced electricity, the balanced strategy, the economic development strategy, the environmental protection strategy, and the energy efficiency strategy are obtained by calculation, which are all superior to the traditional energy supply strategy. Moreover, considering the outsourced electricity, the proportion of outsourced electricity to total electricity is 19.8%, which is the system optimization of the energy internet under certain power demand. Compared with other strategies without outsourced electricity, the outsourced electricity strategy can have a certain emission reduction effect, but at the same time reduce the economic benefit. Furthermore, the huge difference in demand for thermal and cooling load between industrial and commercial areas results in the installed capacity of gas distributed energy stations in industrial areas being nearly twice as large as that in commercial areas. The distributed photovoltaic power generation is allocated according to the proportion of the installed roof areas of photovoltaic power generation system in residential, industrial, and commercial areas.
资助项目	Soft Science Research Project of Guangdong Province[2016A080803002] ; Science and Technology Project of Guangdong Province[2018A050501011]
WOS研究方向	Energy & Fuels
语种	英语
出版者	HIGHER EDUCATION PRESS
WOS记录号	WOS:000521902000002
资助机构	Soft Science Research Project of Guangdong Province ; Science and Technology Project of Guangdong Province
内容类型	期刊论文
源URL	[http://ir.giec.ac.cn/handle/344007/26731]
专题	中国科学院广州能源研究所
通讯作者	Cai, Guotian
作者单位	1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou 510640, Peoples R China 2.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.CSG, Energy Dev Res Inst, Guangzhou 510663, Peoples R China 5.Univ Sci & Technol China, Nano Sci & Technol Inst, Suzhou 215123, Peoples R China
推荐引用方式 GB/T 7714	Li, Pei,Cai, Guotian,Zhang, Yuntao,et al. Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China[J]. FRONTIERS IN ENERGY,2020:13.
APA	Li, Pei,Cai, Guotian,Zhang, Yuntao,Ke, Shangjun,Wang, Peng,&Gao, Liping.(2020).Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China.FRONTIERS IN ENERGY,13.
MLA	Li, Pei,et al."Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China".FRONTIERS IN ENERGY (2020):13.