Research on fault recovery optimization strategy of integrated energy system for resilience enhancement

Abstract This study investigates the resilience of the integrated energy system encompassing electricity, heat, and gas in the context of extreme natural disasters. Through a comprehensive analysis of historical natural disaster events and an in-depth examination of various influencing factors, the research proposes a robust evaluation index system for energy system resilience, along with a corresponding optimization method for fault recovery. Building on this foundation, the impact of natural disasters on the integrated energy system is simulated using a network grid approach. Furthermore, a resilience assessment method for the integrated energy system is introduced, which is based on the Markov state transition model. Resilience indicators are calculated through Monte Carlo simulations to quantitatively assess the extent of system damage during disasters. Additionally, a minimum cut-load model of the integrated energy system is developed to enhance the fault recovery process. Finally, the effectiveness of the proposed fault recovery optimization method is validated through the E39-G20-H6 test system.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-04-01
DOI
https://doi.org/10.1088/1742-6596/2993/1/012009
Citations
1
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.73
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article

Research on fault recovery optimization strategy of integrated energy system for resilience enhancement

Jianxin Zhang, Wei Yang, Liang Cao, Jun Gu
1 citations
Journal of Physics Conference Series
Integrated Energy Systems Optimization
0.73
article

Research on fault recovery optimization strategy of integrated energy system for resilience enhancement

Jianxin Zhang, Wei Yang, Liang Cao, Jun Gu
article en
1 citations

Abstract

Abstract This study investigates the resilience of the integrated energy system encompassing electricity, heat, and gas in the context of extreme natural disasters. Through a comprehensive analysis of historical natural disaster events and an in-depth examination of various influencing factors, the research proposes a robust evaluation index system for energy system resilience, along with a corresponding optimization method for fault recovery. Building on this foundation, the impact of natural disasters on the integrated energy system is simulated using a network grid approach. Furthermore, a resilience assessment method for the integrated energy system is introduced, which is based on the Markov state transition model. Resilience indicators are calculated through Monte Carlo simulations to quantitatively assess the extent of system damage during disasters. Additionally, a minimum cut-load model of the integrated energy system is developed to enhance the fault recovery process. Finally, the effectiveness of the proposed fault recovery optimization method is validated through the E39-G20-H6 test system.

Journal of Physics Conference SeriesVol. 2993(1)
Shanghai Electric (China) (CN)
Openalex Percentile: Top 29%
Integrated Energy Systems Optimization
0.73
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