Data-Driven Multi-Energy Investment and Management Under Earthquakes

doi:10.1109/TII.2020.3043086

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

	Data-Driven Multi-Energy Investment and Management Under Earthquakes
	Zhao, Pengfei 1,2; Gu, Chenghong 3; Cao, Zhidong1,2 ; Shen, Yichen 3; Teng, Fei 4; Chen, Xinlei 5; Wu, Chenye 6,7; Huo, Da 8; Xu, Xu 9; Li, Shuangqi 3
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
	2021-10-01
卷号	17 期号:10 页码:6939-6950
通讯作者	Cao, Zhidong(zhidong.cao@ia.ac.cn)
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.
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
DOI	10.1109/TII.2020.3043086
关键词[WOS]	DISTRIBUTION-SYSTEMS ; GAS ; OPTIMIZATION ; ENERGY ; RESILIENCE ; ELECTRICITY ; UNCERTAINTY ; STRATEGY ; POWER
收录类别	SCI
语种	英语
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]
项目资助者	National Science Fund for Distinguished Young Scholars ; National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:000673414500037
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	社会计算
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/45518
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, 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
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,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.