LU Shuai, GU Wei, YU Ruizhi, et al. Multi-scale Simulation of Cascading Failures in Integrated Electricity-gas-heat Systems: Challenges and Prospects[J]. 2026, 46(7): 2865-2881.
DOI:
LU Shuai, GU Wei, YU Ruizhi, et al. Multi-scale Simulation of Cascading Failures in Integrated Electricity-gas-heat Systems: Challenges and Prospects[J]. 2026, 46(7): 2865-2881.DOI: 10.13334/j.0258-8013.pcsee.251814.
Multi-scale Simulation of Cascading Failures in Integrated Electricity-gas-heat Systems: Challenges and Prospects
Integrated electricity-gas-heat energy systems can improve energy efficiency and support the integration of renewable energy by utilizing multi-energy synergy
serving as a central carrier to facilitate the transition of the energy structure and the "dual-carbon" strategy. However
the close coupling of electricity
gas
and heat systems increases the risk of fault propagation
where a local fault in a single subsystem can develop into a widespread multi-energy cascading failure (MECF). Considering this
this paper focuses on multi-scale simulation technologies for MECFs
systematically analyzing their typical features and scientific challenges
reviewing current research domestically and internationally
and identifying research gaps in dynamic failure modeling
efficient simulation computation
and cross-system awareness and prediction. Based on this
three key future research directions are proposed: 1) developing multi-scale simulation models for MECFs to capture the physics of local fault evolution and network-wide propagation; 2) advancing efficient and robust computational methods to solve high-dimensional
strongly stiff
and non-smooth systems; 3) establishing awareness and prediction techniques under significant information barriers to enable failure backtracking and assessment with limited data. This research aims to provide essential insights for establishing the safety defense theory of next-generation energy and power systems
offering theoretical support to ensure the secure operation of integrated energy and power systems.
Multi-germ and Multi-dimensional Holomorphic Embedding Method for Probabilistic Energy Flow of Integrated Energy System
Polynomial Chaos Expansion Approach for Approximating Security Region Boundary of Integrated Electricity-gas Energy Systems
Low-carbon Economic Dispatch of Integrated Energy Systems Considering “Coal-fired+” Coupling Power Generation and Flexible Resource Reserves
Development and Challenges of Intelligent Operation and Maintenance of Integrated Energy Systems Based on Digital Twin
Station-network Planning of Electric-thermal Integrate Energy System Based on Planning Decision Feature
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Related Institution
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
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State Grid Zhejiang Electric Power Research Institute
China Electric Power Research Institute, Haidian District