A two-stage resilience planning for integrated electricity-gas energy system considering hydrogen refueling stations during typhoons

To reduce the loss of the integrated electricity-gas energy system (IEGS) during typhoons, this paper proposes a two-stage resilience planning method for the IEGS considering hydrogen refueling stations (HRSs). Monte Carlo and simultaneous backward scenario reduction methods are used to generate typical power distribution network (PDN) line fault scenarios, which are then input into the two-stage resilience planning model. The first stage solves the resilience enhancement investment decision problem. It decides the locations and capacities of HRSs and gas-fired distributed generations (DGs). The second stage solves the system operation problem to minimize the cost in all fault scenarios. It determines the power of fuel cells and gas-fired DGs, the load shedding, as well as the line connection status. The resilience planning scheme with the minimum sum of the investment and system operation cost can be obtained by coordinating two stages. Finally, the simulation is verified via the IEEE 33-node PDN coupled with the 7-node gas network using historical data from the 2023 super typhoon “Saola”. The results indicate that the proposed method can not only reduce the investment and system operation cost; but also reduce load shedding and improve the ability to restore power supply in fault scenarios, therefore enhancing IEGS's resilience.

Authors

Institutions

Publication Details

Journal
Smart power & energy security.
Published
2024-11-05
DOI
https://doi.org/10.1016/j.spes.2024.10.002
Citations
4
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A two-stage resilience planning for integrated electricity-gas energy system considering hydrogen refueling stations during typhoons

Hui Hou, Changjun Xie, Ji Zhang, Zhao Yang Dong et al.
4 citations
Smart power & energy security.
Infrastructure Resilience and Vulnerability Analysis
1.04
article

A two-stage resilience planning for integrated electricity-gas energy system considering hydrogen refueling stations during typhoons

Hui Hou, Changjun Xie, Ji Zhang, Zhao Yang Dong, Yulin Yan, Junyi Tang, Fu Gao
article en
4 citations

Abstract

To reduce the loss of the integrated electricity-gas energy system (IEGS) during typhoons, this paper proposes a two-stage resilience planning method for the IEGS considering hydrogen refueling stations (HRSs). Monte Carlo and simultaneous backward scenario reduction methods are used to generate typical power distribution network (PDN) line fault scenarios, which are then input into the two-stage resilience planning model. The first stage solves the resilience enhancement investment decision problem. It decides the locations and capacities of HRSs and gas-fired distributed generations (DGs). The second stage solves the system operation problem to minimize the cost in all fault scenarios. It determines the power of fuel cells and gas-fired DGs, the load shedding, as well as the line connection status. The resilience planning scheme with the minimum sum of the investment and system operation cost can be obtained by coordinating two stages. Finally, the simulation is verified via the IEEE 33-node PDN coupled with the 7-node gas network using historical data from the 2023 super typhoon “Saola”. The results indicate that the proposed method can not only reduce the investment and system operation cost; but also reduce load shedding and improve the ability to restore power supply in fault scenarios, therefore enhancing IEGS's resilience.

Smart power & energy security.Vol. 1(1)
City University of Hong Kong (HK), Wuhan University of Technology (CN), Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 25%
Infrastructure Resilience and Vulnerability Analysis
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.