BIAN Yiheng,ZHANG Di,ZHANG Shunyao,et al.Reinforcement Strategy for Key Components of Electricity-Gas Coupling Systems Considering Combined Influences of Vulnerability and Failure[J].Automation of Electric Power Systems,2025,49(15):65-73.
BIAN Yiheng,ZHANG Di,ZHANG Shunyao,et al.Reinforcement Strategy for Key Components of Electricity-Gas Coupling Systems Considering Combined Influences of Vulnerability and Failure[J].Automation of Electric Power Systems,2025,49(15):65-73. DOI: 10.7500/AEPS20241220008.
Reinforcement Strategy for Key Components of Electricity-Gas Coupling Systems Considering Combined Influences of Vulnerability and Failure
The electricity-gas coupling system is of great value in supporting the efficient use of energy and improving electricity safety. This paper proposes a reinforcement optimization strategy for key components of the electricity-gas coupling system with combined influences of vulnerability and failures. In the planning stage
power poles and gas pipelines are differentiated for reinforcement to minimize the system loss of load after extreme events. Firstly
taking the earthquake disaster that has a destructive effect on both the power and natural gas systems as an example
a disaster model and fault scenarios under multiple types of reinforcement measures are constructed. Secondly
a two-stage method of pre-ranking-stochastic programming is used to make decisions. In the first stage
the repair priority is simulated based on the Copeland ranking method. In the second stage
the multi-level reinforcement stochastic programming is carried out considering the restoration measures such as distribution network reconstruction and fault repair under limited number of crews. The two-stage decision-making solves the problem that it is difficult to consider the repair scheduling process in multi-level reinforcement planning
and improves the solution efficiency. Finally
the progressive hedging algorithm is used to complete the stochastic programming solution
and the effectiveness of the strategy is verified by cases.
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