TY - GEN
T1 - Resilience-based Hardening Approach for Integrated Power and Natural Gas Systems
AU - Li, Xin
AU - Huang, Gechao
AU - Liang, Yi
AU - Li, Gengfeng
AU - Tian, Huili
AU - Bie, Zhaohong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/23
Y1 - 2020/11/23
N2 - Integrated energy systems (IES) are the best way to handle environmental concern and energy crisis. But it can also make energy systems more vulnerable. What's worse, the extreme events such as natural disasters and malicious man-attack become more frequent, which bring huge challenge to IES. Improving the resilience has become an inevitable requirement for the development of IES. In this paper, a resilience based hardening approach for integrated power and natural gas systems is presented, this approach can determine where to install gas generators and gas storages to improve resilience. The effects of the extreme events are discussed because multi-failure scenarios are considered when it comes to resilience. The stochastic optimization model of integrated power and natural gas systems (IPGS) is established. The piecewise linearization method is adopted for nonlinearity. The Monte Carlo method and progressive hedging algorithm are adopted to improve the solving efficiency. A modified IES is adopted to demonstrate the validity of the proposed approach.
AB - Integrated energy systems (IES) are the best way to handle environmental concern and energy crisis. But it can also make energy systems more vulnerable. What's worse, the extreme events such as natural disasters and malicious man-attack become more frequent, which bring huge challenge to IES. Improving the resilience has become an inevitable requirement for the development of IES. In this paper, a resilience based hardening approach for integrated power and natural gas systems is presented, this approach can determine where to install gas generators and gas storages to improve resilience. The effects of the extreme events are discussed because multi-failure scenarios are considered when it comes to resilience. The stochastic optimization model of integrated power and natural gas systems (IPGS) is established. The piecewise linearization method is adopted for nonlinearity. The Monte Carlo method and progressive hedging algorithm are adopted to improve the solving efficiency. A modified IES is adopted to demonstrate the validity of the proposed approach.
KW - extreme events
KW - gas generators and storages
KW - integrated energy systems (IES)
KW - progressive hedging algorithm
KW - resilience improving
UR - https://www.scopus.com/pages/publications/85102055384
U2 - 10.1109/iSPEC50848.2020.9350985
DO - 10.1109/iSPEC50848.2020.9350985
M3 - 会议稿件
AN - SCOPUS:85102055384
T3 - iSPEC 2020 - Proceedings: IEEE Sustainable Power and Energy Conference: Energy Transition and Energy Internet
SP - 1228
EP - 1233
BT - iSPEC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Sustainable Power and Energy Conference, iSPEC 2020
Y2 - 23 November 2020 through 25 November 2020
ER -
