TY - JOUR
T1 - Resilient operation of multi-energy industrial park based on integrated hydrogen-electricity-heat microgrids
AU - Liu, Jinhui
AU - Cao, Xiaoyu
AU - Xu, Zhanbo
AU - Guan, Xiaohong
AU - Dong, Xiangxiang
AU - Wang, Chao
N1 - Publisher Copyright:
© 2020 Hydrogen Energy Publications LLC
PY - 2021/8/18
Y1 - 2021/8/18
N2 - 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.
AB - 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.
KW - Hydrogen-electricity-heat microgrid
KW - Industrial distribution network
KW - Probabilistic disaster prediction
KW - Resilient operation
KW - Risk-averse receding horizon method
UR - https://www.scopus.com/pages/publications/85098075613
U2 - 10.1016/j.ijhydene.2020.11.229
DO - 10.1016/j.ijhydene.2020.11.229
M3 - 文章
AN - SCOPUS:85098075613
SN - 0360-3199
VL - 46
SP - 28855
EP - 28869
JO - International Journal of Hydrogen Energy
JF - International Journal of Hydrogen Energy
IS - 57
ER -