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

GIEC OpenIR

	Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China
	Pei LI 1; Guotian CAI1 ; Yuntao ZHANG 1; Shangjun KE 1; Peng WANG1 ; Liping GAO 1
	2020
发表期刊	能源前沿:英文版
ISSN	2095-1701
卷号	14.0 期号:002 页码:241
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.
关键词	generation-grid-load-storage energy internet economy-environment-energy efficiency multi-objective optimal allocation mathematical model
语种	英语
资助项目	[Soft Science Research Project of Guangdong Province] ; [Science and Technology Project of Guangdong Province]
文献类型	期刊论文
条目标识符	http://ir.giec.ac.cn/handle/344007/26732
专题	中国科学院广州能源研究所
作者单位	1.中国科学院广州能源研究所 2.Key Laboratory of Renewable Energy,Chinese Academy of Sciences 3.中国科学院大学 4.Energy Development Research Institute,CSG 5.Nano Science and Technology Institute,University of Science and Technology of China
第一作者单位	中国科学院广州能源研究所
推荐引用方式 GB/T 7714	Pei LI,Guotian CAI,Yuntao ZHANG,et al. Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China[J]. 能源前沿:英文版,2020,14.0(002):241.
APA	Pei LI,Guotian CAI,Yuntao ZHANG,Shangjun KE,Peng WANG,&Liping GAO.(2020).Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China.能源前沿:英文版,14.0(002),241.
MLA	Pei LI,et al."Multi-objective optimal allocation strategy for the energy internet in Huangpu District, Guangzhou, China".能源前沿:英文版 14.0.002(2020):241.