综 合 脆 弱 度 与 故 障 影 响 的 电 -气 耦 合 系 统 关 键 元 件 强 化 策 略

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 multilevel 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.