This paper proposes a new method for service restoration of distribution network with the support of transportable power sources(TPSs)and repair crews(RCs).Firstly,a coupling model of distribution networks and vehicle...This paper proposes a new method for service restoration of distribution network with the support of transportable power sources(TPSs)and repair crews(RCs).Firstly,a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed,where the TPSs serve as emergency power supply sources,and the RCs are used to repair the faulted lines.Considering the uncertainty of traffic congestion,the probability distribution of the travel time spent on each road is derived based on the Nesterov user equilibrium model,and a two-stage stochastic program is formulated to determine the optimal routings of TPSs and RCs.To efficiently solve the proposed stochastic mixed-integer linear program(MILP),a two-phase scenario reduction method is then developed to scale down the problem size,and an adaptive progressive hedging algorithm is used for an efficient solution.The effectiveness of the proposed methods and algorithms has been illustrated in a modified IEEE 33-bus system.展开更多
This paper proposes a co-optimal strategy using line hardening,mobile devices(mobile ice-melting device,mobile emergency generator,mobile energy storage system),and repair crew dispatching to improve distribution syst...This paper proposes a co-optimal strategy using line hardening,mobile devices(mobile ice-melting device,mobile emergency generator,mobile energy storage system),and repair crew dispatching to improve distribution system resilience during ice storms.A multi-stage defender-attacker-defender model is established to take into account interactions and coupling relationships between different measures.In our proposed model,ice storms will attack the distribution and transportation system in a worst-case scenario,affecting system performance from various perspectives.Corresponding to the different operating states in the distribution system affected by ice storms,aiming at minimizing the weighted load shedding value,this paper applies various measures to different stages to improve the response and defense capabilities to ice storms and realize restoration of the distribution system ultimately.The nested column-and-constraint generation algorithm is used to solve the model efficiently.The effectiveness of the proposed model and solution method for enhancing the distribution system resilience is verified on the modified IEEE 33-bus distribution system and modified realworld zone of Caracas 141-bus distribution system.展开更多
快速可行的灾后恢复是弹性电力系统的重要一环。提出一种弹性导向的考虑修复不确定性和V2G(vehicle to grid,V2G)的城市电力系统动态供电恢复方法,灾后短期内应用V2G站中的有限电动汽车资源为城市电网提供电能支撑,同时派遣抢修队对故...快速可行的灾后恢复是弹性电力系统的重要一环。提出一种弹性导向的考虑修复不确定性和V2G(vehicle to grid,V2G)的城市电力系统动态供电恢复方法,灾后短期内应用V2G站中的有限电动汽车资源为城市电网提供电能支撑,同时派遣抢修队对故障线路进行抢修作业,实现系统快速恢复。对V2G和电动汽车灾前、灾后行为进行建模,通过灾前自由调度统计各V2G站附近的电动汽车数量,按照响应意愿比例得到灾后阶段各V2G站反向输电功率;对包含行驶行为和修复行为的动态修复行为进行建模,采用滚动时域优化方法决策修复的先后顺序,得到抢修队最优动态修复方案。最后,设计多组算例以验证所提方法的可行性,结果表明,该方法可有效支撑灾后城市电力系统快速恢复,提高系统弹性。展开更多
基金supported by National Natural Science Foundation of China(No.72171026).
文摘This paper proposes a new method for service restoration of distribution network with the support of transportable power sources(TPSs)and repair crews(RCs).Firstly,a coupling model of distribution networks and vehicle routing of TPSs and RCs is proposed,where the TPSs serve as emergency power supply sources,and the RCs are used to repair the faulted lines.Considering the uncertainty of traffic congestion,the probability distribution of the travel time spent on each road is derived based on the Nesterov user equilibrium model,and a two-stage stochastic program is formulated to determine the optimal routings of TPSs and RCs.To efficiently solve the proposed stochastic mixed-integer linear program(MILP),a two-phase scenario reduction method is then developed to scale down the problem size,and an adaptive progressive hedging algorithm is used for an efficient solution.The effectiveness of the proposed methods and algorithms has been illustrated in a modified IEEE 33-bus system.
文摘This paper proposes a co-optimal strategy using line hardening,mobile devices(mobile ice-melting device,mobile emergency generator,mobile energy storage system),and repair crew dispatching to improve distribution system resilience during ice storms.A multi-stage defender-attacker-defender model is established to take into account interactions and coupling relationships between different measures.In our proposed model,ice storms will attack the distribution and transportation system in a worst-case scenario,affecting system performance from various perspectives.Corresponding to the different operating states in the distribution system affected by ice storms,aiming at minimizing the weighted load shedding value,this paper applies various measures to different stages to improve the response and defense capabilities to ice storms and realize restoration of the distribution system ultimately.The nested column-and-constraint generation algorithm is used to solve the model efficiently.The effectiveness of the proposed model and solution method for enhancing the distribution system resilience is verified on the modified IEEE 33-bus distribution system and modified realworld zone of Caracas 141-bus distribution system.
文摘快速可行的灾后恢复是弹性电力系统的重要一环。提出一种弹性导向的考虑修复不确定性和V2G(vehicle to grid,V2G)的城市电力系统动态供电恢复方法,灾后短期内应用V2G站中的有限电动汽车资源为城市电网提供电能支撑,同时派遣抢修队对故障线路进行抢修作业,实现系统快速恢复。对V2G和电动汽车灾前、灾后行为进行建模,通过灾前自由调度统计各V2G站附近的电动汽车数量,按照响应意愿比例得到灾后阶段各V2G站反向输电功率;对包含行驶行为和修复行为的动态修复行为进行建模,采用滚动时域优化方法决策修复的先后顺序,得到抢修队最优动态修复方案。最后,设计多组算例以验证所提方法的可行性,结果表明,该方法可有效支撑灾后城市电力系统快速恢复,提高系统弹性。
