Managing Water-Energy-Carbon Nexus for Urban Areas With Ambiguous Moment Information

doi:10.1109/TPWRS.2022.3214189

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	Managing Water-Energy-Carbon Nexus for Urban Areas With Ambiguous Moment Information
	Zhao, Pengfei 2,3; Li, Shuangqi 1,6; Hu, Paul Jen-Hwa 5; Gu, Chenghong 1; Cao, Zhidong 3; Xiang, Yue 4
刊名	IEEE TRANSACTIONS ON POWER SYSTEMS
	2023-09-01
卷号	38 期号:5 页码:4432-4446
关键词	Carbon reduction energy management renewable energy sources water-energy-carbon nexus system
ISSN号	0885-8950
DOI	10.1109/TPWRS.2022.3214189
通讯作者	Cao, Zhidong(zhidong.cao@ia.ac.cn)
英文摘要	The rapid growth of electric load fuels urbanization but creates unsettling environmental challenges. In that regard, the energy system is a crucial part of consuming water and emitting greenhouse gases. To support reliable and economical energy system operations, with reduced water waste and carbon emissions, we design a viable co-optimization of water-energy-carbon nexus for an integrated energy system by adequately modelling essential interdependencies of power, gas, and water systems. A two-stage distributionally robust optimization method is proposed: the first-stage model minimizes the day-ahead reserve capacity scheduling for the next day, and the second-stage model enables real-time dispatch by considering the variability in renewable power generation. The carbon emissions by power generation and distribution are incorporated in both stages to ensure low-carbon operations. We use a two-stage moment-based distributionally robust approach to capture and represent the uncertainties in renewable generation. Instead of assuming a deterministic distribution, we characterize an ambiguity set with mean vectors and covariance matrices, which produces a family set of distributions. We conduct case studies using a modified IEEE 33-bus power system that includes and links a 20-node gas system and a 10-node water system. The comparative results indicate that the proposed co-optimization of water-energy-carbon nexus is superior than several benchmarks. By considering the close interdependencies of water, energy, and carbon, we create an optimal resource allocation scheme, which is capable of minimizing operation costs, lessening carbon emissions, and reducing water waste. The current research enables effective operation schemes for urban energy systems, illustrates a viable way to curb local environmental emissions, and increases water usage efficiency in the water-energy-carbon nexus.
资助项目	National Natural Science Foundation of China[72025404] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[71974187] ; New Generation Artificial Intelligence Development Plan of China (2015-2030)[2021ZD0111205] ; Beijing Natural Science Foundation[L192012] ; Beijing Nova Program[Z201100006820085]
WOS关键词	OPERATION ; SYSTEMS ; POWER ; DEMAND ; OPTIMIZATION ; MANAGEMENT ; DISPATCH ; MODEL
WOS研究方向	Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001054600200033
资助机构	National Natural Science Foundation of China ; New Generation Artificial Intelligence Development Plan of China (2015-2030) ; Beijing Natural Science Foundation ; Beijing Nova Program
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/54125]
专题	舆论大数据科学与技术应用联合实验室
通讯作者	Cao, Zhidong
作者单位	1.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, England 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Sichuan Univ, Coll Elect Engn, Chengdu 610044, Sichuan, Peoples R China 5.Univ Utah, David Eccles Sch Business, Salt Lake City, UT 84112 USA 6.Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Pengfei,Li, Shuangqi,Hu, Paul Jen-Hwa,et al. Managing Water-Energy-Carbon Nexus for Urban Areas With Ambiguous Moment Information[J]. IEEE TRANSACTIONS ON POWER SYSTEMS,2023,38(5):4432-4446.
APA	Zhao, Pengfei,Li, Shuangqi,Hu, Paul Jen-Hwa,Gu, Chenghong,Cao, Zhidong,&Xiang, Yue.(2023).Managing Water-Energy-Carbon Nexus for Urban Areas With Ambiguous Moment Information.IEEE TRANSACTIONS ON POWER SYSTEMS,38(5),4432-4446.
MLA	Zhao, Pengfei,et al."Managing Water-Energy-Carbon Nexus for Urban Areas With Ambiguous Moment Information".IEEE TRANSACTIONS ON POWER SYSTEMS 38.5(2023):4432-4446.