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

文献类型：期刊论文

作者Zhao, Pengfei6,7; Li, Shuangqi1,8; Hu, Paul Jen-Hwa2; Cao, Zhidong6,7; Gu, Chenghong8; Yan, Xiaohe3; Huo, Da4; Hernando-Gil, Ignacio5
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2022-08-30
页码13
ISSN号2329-924X
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
DOI10.1109/TCSS.2022.3200032
通讯作者Cao, Zhidong(zhidong.cao@ia.ac.cn)
英文摘要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.
WOS关键词ENERGY HUBS ; MANAGEMENT ; MULTIENERGY ; OPERATION ; STORAGE ; GAME
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]
WOS研究方向Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000849245900001
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
源URL[http://ir.ia.ac.cn/handle/173211/50068]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心
通讯作者Cao, Zhidong
作者单位1.Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China
2.Univ Utah, David Eccles Sch Business, Salt Lake City, UT 84112 USA
3.North China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China
4.Cranfield Univ, Sch Water Energy & Environm, Bedford MK43 0AL, England
5.Univ Bordeaux, ESTIA Inst Technol, F-64210 Bidart, France
6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100864, Peoples R China
7.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100864, Peoples R China
8.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England
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.

入库方式： OAI收割

来源：自动化研究所

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