面向极端事件的配电网差异化韧性供电服务及其定价方法

Differentiated Resilient Power Supply Service and Its Pricing Method of Distribution Network for Extreme Events

近年来,由极端事件导致的大停电事故给用户的生产生活带来巨大挑战。为解决不同用户对配电网灾后应急供电需求的差异性问题,提出一种面向极端事件的配电网差异化韧性供电服务及其定价方法。首先,基于电网-交通网融合系统提出考虑移动储能(mobile energy storage system,MESS)规划与调度的配电网韧性提升方法。然后,基于用户差异化的灾后供电需求设计多种韧性供电等级下的服务定价菜单。最后,为将韧性供电服务的提供与用户需求相匹配,构建韧性供电服务提供与定价双层模型,上层配电网运营商(distribution system operator,DSO)提供差异化的韧性供电服务并设计定价菜单,下层用户结合服务成本与效益订购最佳的韧性供电服务等级。改进混沌模拟退火粒子群算法(chaoticsimulated annealing particle swarm optimization,CSAPSO),结合gurobi求解器迭代寻找模型的均衡解。算例分析表明,所提方法可有效权衡DSO与用户的效益,满足了用户差异化的灾后供电需求,实现双赢。

In recent years,the occurrence of blackouts triggered by extreme events has posed significant challenges to individuals'productivity and daily life.A differentiated resilient power supply service and its pricing method are introduced to address users'diverse post-disaster emergency power supply requirements.Initially,leveraging the integrated power grid-transportation network framework,a methodology is outlined to enhance the resilience of the distribution network by accounting for the planning and coordination of mobile energy storage systems(MESS).Subsequently,based on users'varied post-disaster power supply needs,the service pricing menu under various resilient power supply levels is designed.A Bi-level model is developed to align the delivery of resilient power supply services with user preferences.The upper-level distribution system operator(DSO)is responsible for offering tailored resilient power supply services and crafting a pricing structure.At the same time,the lower-level users select the optimal level of resilient power supply service based on cost and benefit considerations.Chaotic-simulated annealing particle swarm optimization(CSAPSO)and gurobi solver are used to find the equilibrium solution of the model iteratively.The analysis of the example shows that the proposed approach effectively balances the interests of both DSO and users,fulfills users'diverse post-disaster power supply requirements,and leads to a mutually beneficial outcome.