Data-Driven Multi-Energy Investment and Management Under Earthquakes

doi:10.1109/TII.2020.3043086

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Data-Driven Multi-Energy Investment and Management Under Earthquakes
	Zhao, Pengfei 1,2; Gu, Chenghong 3; Cao, Zhidong 1,2; Shen, Yichen 3; Teng, Fei 4; Chen, Xinlei 5; Wu, Chenye 6,7; Huo, Da 8; Xu, Xu 9; Li, Shuangqi 3
刊名	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
	2021-10-01
卷号	17 期号:10 页码:6939-6950
关键词	Economics Power transmission lines Uncertainty Systems operation Pipelines Reliability engineering Transmission line measurements Distributionally robust optimization (DRO) emergency response integrated electricity and gas system reliability
ISSN号	1551-3203
DOI	10.1109/TII.2020.3043086
通讯作者	Cao, Zhidong(zhidong.cao@ia.ac.cn)
英文摘要	Seismic events can severely damage both electricity and natural gas systems, causing devastating consequences. Ensuring the secure and reliable operation of the integrated energy system (IES) is of high importance to avoid potential damage to the infrastructure and reduce economic losses. This article proposes a new optimal two-stage optimization to enhance the reliability of IES planning and operation against seismic attacks. In the first stage, hardening investment on the IES is conducted, featuring preventive measures for seismic attacks. The second stage minimizes the expected operation cost of emergency response. The random seismic attack is modeled as uncertainty, which is realized after the first stage. An explicit damage assessment model is developed to define the budget set of the uncertain seismic activity. Based on the survivability of transmission lines and gas pipelines of IES, an optimal system investment plan is developed. The problem is formulated as a two-stage distributionally robust optimization (DRO) model, which is tested on an integrated IEEE 30-bus system and 20-node gas network. Case studies demonstrate that the two-stage DRO outperforms robust optimization and a single-stage optimization model in terms of minimizing the investment cost and expected economic loss. This article can help system operators to make economical hardening and operation strategies to improve the reliability of IES under seismic attacks, thus managing a more robust and secure energy system.
资助项目	National Science Fund for Distinguished Young Scholars[72025404] ; National Natural Science Foundation of China[72042018] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[TII-20-2605]
WOS关键词	DISTRIBUTION-SYSTEMS ; GAS ; OPTIMIZATION ; ENERGY ; RESILIENCE ; ELECTRICITY ; UNCERTAINTY ; STRATEGY ; POWER
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000673414500037
资助机构	National Science Fund for Distinguished Young Scholars ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/45517]
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.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China 3.Univ Bath, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England 4.Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England 5.Carnegie Mellon Univ, Dept Elect Engn, Pittsburgh, PA 15213 USA 6.Chinese Univ Hong Kong, Sch Sci & Engn, Hong Kong, Peoples R China 7.Shenzhen Inst Artificial Intelligence & Robot Soc, Shenzhen 518129, Peoples R China 8.Newcastle Univ, Sch Engn, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England 9.Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Pengfei,Gu, Chenghong,Cao, Zhidong,et al. Data-Driven Multi-Energy Investment and Management Under Earthquakes[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2021,17(10):6939-6950.
APA	Zhao, Pengfei.,Gu, Chenghong.,Cao, Zhidong.,Shen, Yichen.,Teng, Fei.,...&Li, Shuangqi.(2021).Data-Driven Multi-Energy Investment and Management Under Earthquakes.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,17(10),6939-6950.
MLA	Zhao, Pengfei,et al."Data-Driven Multi-Energy Investment and Management Under Earthquakes".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 17.10(2021):6939-6950.