Reliability Assessment for Integrated Power-gas Systems Considering Renewable Energy Uncertainty and Cascading Effects

Yucui Wang; Yongbiao Yang; Qingshan Xu

doi:10.17775/CSEEJPES.2022.00740

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Reliability Assessment for Integrated Power-gas Systems Considering Renewable Energy Uncertainty and Cascading Effects

Regular Papers | 更新时间：2026-10-15

- Reliability Assessment for Integrated Power-gas Systems Considering Renewable Energy Uncertainty and Cascading Effects
- CSEE Journal of Power and Energy Systems Vol. 9, Issue 3, Pages: 1214-1226(2023)
- 作者机构：
  
  1. School of Cyber Science and Engineering, Southeast University,Nanjing,China
  2. School of Electrical Engineering, Southeast University,Nanjing,China
  3. Nanjing Center for Applied Mathematics,Nanjing,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.00740
  CLC：
- Published：01 May 2023
- 稿件说明：
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Yucui Wang, Yongbiao Yang, Qingshan Xu. Reliability Assessment for Integrated Power-gas Systems Considering Renewable Energy Uncertainty and Cascading Effects[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 1214-1226.
DOI：

Yucui Wang, Yongbiao Yang, Qingshan Xu. Reliability Assessment for Integrated Power-gas Systems Considering Renewable Energy Uncertainty and Cascading Effects[J]. CSEE Journal of Power and Energy Systems, 2023, 9(3): 1214-1226. DOI： 10.17775/CSEEJPES.2022.00740.

摘要

Abstract

Integrated power-gas systems (IPGSs) make the power system and natural gas system (NGS) as a whole

and strengthen interdependence between the two systems. Due to bidirectional energy conversion in IPGS

a disturbance may turn into a catastrophic outage. Meanwhile

increasing proportion of renewable energy brings challenges to reliability of IPGS. Moreover

partial failure or degradation of system performance leads IPGS operate at multiple performance levels. Therefore

this paper proposes a reliability assessment model of IPGSs which represents multiple performance of components and considers cascading effects

as well as renewable energy uncertainty. First

a framework of IPGS reliability assessment is proposed: multi-state models for main elements in the IPGS are represented. Especially a gas-power-generation calculation operator and a power-to-gas calculation operator are utilized to bi-directionally convert a multi-state model between NGS and power systems. Furthermore

nodal reliability indices for IPGS are given to display impacts of cascading effects and renewable energy uncertainty on reliabilities of IPGSs. Numerical results on IPGS test system demonstrate the proposed methods.

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references

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