Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading

doi:10.1109/TCSS.2022.3200032

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading
	Zhao, Pengfei 1,2; Li, Shuangqi 3,4; Hu, Paul Jen-Hwa 5; Cao, Zhidong1,2 ; Gu, Chenghong 3; Yan, Xiaohe 6; Huo, Da 7; Hernando-Gil, Ignacio 8
发表期刊	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN	2329-924X
	2022-08-30
页码	13
通讯作者	Cao, Zhidong(zhidong.cao@ia.ac.cn)
摘要	Effective utility system management is fundamental and critical for ensuring the normal activities, operations, and services in cities and urban areas. In that regard, the advanced information and communication technologies underpinning smart cities enable close linkages and coordination of different subutility systems, which is now attracting research attention. To increase operational efficiency, we propose a two-stage optimal co-management model for an integrated urban utility system comprised of water, power, gas, and heating systems, namely, integrated water-energy hubs (IWEHs). The proposed IWEH facilitates coordination between multienergy and water sectors via close energy conversion and can enhance the operational efficiency of an integrated urban utility system. In particular, we incorporate social-aware peer-to-peer (P2P) resource trading in the optimization model, in which operators of an IWEH can trade energy and water with other interconnected IWEHs. To cope with renewable generation and load uncertainties and mitigate their negative impacts, a two-stage distributionally robust optimization (DRO) is developed to capture the uncertainties, using a semidefinite programming reformulation. To demonstrate our model's effectiveness and practical values, we design representative case studies that simulate four interconnected IWEH communities. The results show that DRO is more effective than robust optimization (RO) and stochastic optimization (SO) for avoiding excessive conservativeness and rendering practical utilities, without requiring enormous data samples. This work reveals a desirable methodological approach to optimize the water-energy-social nexus for increased economic and system-usage efficiency for the entire (integrated) urban utility system. Furthermore, the proposed model incorporates social participations by citizens to engage in urban utility management for increased operation efficiency of cities and urban areas.
关键词	Water heating Optimization Costs Cogeneration Water resources Resistance heating Peer-to-peer computing Distributionally robust optimization (DRO) peer-to-peer (P2P) trading smart city social-aware management water-energy-social nexus
DOI	10.1109/TCSS.2022.3200032
关键词[WOS]	ENERGY HUBS ; MANAGEMENT ; MULTIENERGY ; OPERATION ; STORAGE ; GAME
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[72025404] ; National Natural Science Foundation of China[71621002] ; New Generation Artificial Intelligence Development Plan of China (2015-2030)[2021ZD0111205] ; Beijing Natural Science Foundation[L192012] ; Beijing Nova Program[Z201100006820085]
项目资助者	National Natural Science Foundation of China ; New Generation Artificial Intelligence Development Plan of China (2015-2030) ; Beijing Natural Science Foundation ; Beijing Nova Program
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Information Systems
WOS记录号	WOS:000849245900001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/50069
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
通讯作者	Cao, Zhidong
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100864, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100864, Peoples R China 3.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England 4.Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China 5.Univ Utah, David Eccles Sch Business, Salt Lake City, UT 84112 USA 6.North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China 7.Cranfield Univ, Sch Water Energy & Environm, Bedford MK43 0AL, England 8.Univ Bordeaux, ESTIA Inst Technol, F-64210 Bidart, France
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhao, Pengfei,Li, Shuangqi,Hu, Paul Jen-Hwa,et al. Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2022:13.
APA	Zhao, Pengfei.,Li, Shuangqi.,Hu, Paul Jen-Hwa.,Cao, Zhidong.,Gu, Chenghong.,...&Hernando-Gil, Ignacio.(2022).Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,13.
MLA	Zhao, Pengfei,et al."Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2022):13.