Resilient operation of multi-energy industrial park based on integrated hydrogen-electricity-heat microgrids

被引:56
|
作者
Liu, Jinhui [1 ]
Cao, Xiaoyu [1 ]
Xu, Zhanbo [1 ]
Guan, Xiaohong [1 ,2 ]
Dong, Xiangxiang [1 ]
Wang, Chao [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Automat Sci & Engn, Minist Educ, Key Lab Intelligent Networks & Network Secur, Xian 710049, Shaanxi, Peoples R China
[2] Tsinghua Univ, TNLIST, Dept Automat, Ctr Intelligent & Networked Syst, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydrogen-electricity-heat microgrid; Industrial distribution network; Resilient operation; Probabilistic disaster prediction; Risk-averse receding horizon method; NETWORKED MICROGRIDS; FUEL-CELL; DISTRIBUTION-SYSTEM; ENERGY MANAGEMENT; PRODUCTION UNIT; RESTORATION; GENERATORS; EXTREME; BATTERY; ECONOMY;
D O I
10.1016/j.ijhydene.2020.11.229
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The hydrogen-based clean energy infrastructure provides a viable option for resilience improvement against extreme events, e.g., natural disaster and malicious attacks. This paper presents a resilience-oriented operation model for industrial parks energized by integrated hydrogen-electricity-heat microgrids, which aims to improve the load survivability under contingency status. The synergies of multi-type distributed energy resources (e.g., fuel cells, hydrogen storage tanks, battery storage and heat storage unit) and the sequential operation of the industrial distribution network are analytically represented by a mixed-integer second-order conic program (SOCP) formulation. Moreover, by leveraging the information of probabilistic disaster prediction, a risk-averse receding horizon method is developed to handle the uncertainty of network contingencies, and supports the optimal decision of proactive and emergency scheduling. Numerical results on a 26-node industrial energy system demonstrate the effectiveness of the proposed model and resilient scheduling method. The synergetic operation of hydrogen-based microgrids could significantly reduce the risks of load interruption. (c) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:28855 / 28869
页数:15
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