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
相关论文
共 50 条
  • [31] Optimization of the Joint Operation of an Electricity-Heat-Hydrogen-Gas Multi-Energy System Containing Hybrid Energy Storage and Power-to-Gas-Combined Heat and Power
    Yang, Jun
    Zeng, Linjun
    He, Kangjie
    Gong, Yongguo
    Zhang, Zhenhua
    Chen, Kun
    ENERGIES, 2024, 17 (13)
  • [32] Multi-agent Stackelberg game trading strategy of electricity-gas multi-energy market considering participation of multi-energy microgrids
    Li X.
    Yang M.
    Zhang R.
    Jiang T.
    Fu L.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2023, 43 (05): : 145 - 153
  • [33] Heat market for interconnected multi-energy microgrids: A distributed optimization approach
    Gonzalez-Castellanos, Alvaro
    Bischi, Aldo
    ENERGY NEXUS, 2024, 14
  • [34] User-Side Integrated Demand Response Business Architecture Based on Multi-energy Interconnection of Electricity, Heat and Gas
    Chen, Han
    Chen, Simin
    Lin, Xiaofan
    Chen, Jinchun
    Chen, Wanqing
    Chen, Guannan
    2021 11TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES 2021), 2021, : 844 - 849
  • [35] Electricity, Heat, and Gas Load Forecasting Based on Deep Multitask Learning in Industrial-Park Integrated Energy System
    Zhang, Linjuan
    Shi, Jiaqi
    Wang, Lili
    Xu, Changqing
    ENTROPY, 2020, 22 (12) : 1 - 18
  • [36] Integrated Demand Response in Multi-Energy Microgrids: A Deep Reinforcement Learning-Based Approach
    Xu, Chenhui
    Huang, Yunkai
    ENERGIES, 2023, 16 (12)
  • [37] Collaborative Optimization of Multi-Energy Operation and Industrial Production Scheduling
    Ma, Kai
    Qiao, Dongdong
    Zhao, Wenna
    Guo, Shiliang
    Yang, Jie
    2022 IEEE 17TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION, ICCA, 2022, : 784 - 789
  • [38] Multi-energy complementation based optimal operation of a microgrid with combined heat and power
    Cheng S.
    Wei Z.
    Huang T.
    He C.
    Zhao M.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (11): : 160 - 168
  • [39] Electricity-Heat-Based Integrated Demand Response Considering Double Auction Energy Market with Multi-Energy Storage for Interconnected Areas
    Wang, Dan
    Huang, Deyu
    Hu, Qing'e
    Jia, Hongjie
    Liu, Bo
    Lei, Yang
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2024, 10 (04): : 1688 - 1700
  • [40] Electricity theft detection in integrated energy systems considering multi-energy loads
    Liao, Wenlong
    Yang, Dechang
    Ge, Leijiao
    Jia, Yixiong
    Yang, Zhe
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2025, 164