当前位置: X-MOL 学术IEEE Trans. Smart. Grid. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Rolling Optimization of Mobile Energy Storage Fleets for Resilient Service Restoration
IEEE Transactions on Smart Grid ( IF 8.6 ) Pub Date : 2019-07-22 , DOI: 10.1109/tsg.2019.2930012
Shuhan Yao , Peng Wang , Xiaochuan Liu , Huajun Zhang , Tianyang Zhao

Mobile energy storage systems (MESSs) provide promising solutions to enhance distribution system resilience in terms of mobility and flexibility. This paper proposes a rolling integrated service restoration strategy to minimize the total system cost by coordinating the scheduling of MESS fleets, resource dispatching of microgrids, and network reconfiguration of distribution systems. The integrated strategy takes into account damage and repair to both the roads in transportation networks and the branches in distribution systems. The uncertainties in load consumption and the status of roads and branches are modeled as scenario trees using Monte Carlo simulation method. The operation strategy of MESSs is modeled by a stochastic multi-layer time-space network technique. A rolling optimization framework is adopted to dynamically update system damage, and the coordinated scheduling at each time interval over the prediction horizon is formulated as a two-stage stochastic mixed-integer linear program with temporal-spatial and operation constraints. The proposed model is verified on two integrated test systems, one is with Sioux Falls transportation network and four 33-bus distribution systems, and the other is the Singapore transportation network-based test system connecting six 33-bus distribution systems. The results demonstrate the effectiveness of MESS mobility to enhance distribution system resilience due to the coordination of mobile and stationary resources.

中文翻译:

用于恢复弹性服务的移动储能机队的滚动优化

移动储能系统(MESS)提供了有前途的解决方案,可提高移动性和灵活性方面的配电系统弹性。本文提出了一种滚动式综合服务恢复策略,以通过协调MESS车队的调度,微电网的资源分配以及配电系统的网络重新配置来最小化系统总成本。综合策略考虑了运输网络中的道路和配电系统中的分支的损坏和维修。使用蒙特卡洛模拟方法将负荷消耗的不确定性以及道路和分支的状况建模为场景树。MESS的运行策略是通过随机多层时空网络技术建模的。采用滚动优化框架动态更新系统损坏,并将预测时间范围内每个时间间隔的协调调度表述为具有时空和操作约束的两阶段随机混合整数线性程序。该模型在两个集成测试系统上进行了验证,一个是在苏福尔斯运输网络和四个33总线配电系统上进行的,另一个是在新加坡交通网络基础上的测试系统,该系统连接了六个33总线配电系统。结果表明,由于移动资源和固定资源的协调,MESS移动性可有效提高配电系统的弹性。该模型在两个集成测试系统上进行了验证,一个是在苏福尔斯运输网络和四个33总线配电系统上进行的,另一个是在新加坡交通网络基础上的测试系统,该系统连接了六个33总线配电系统。结果表明,由于移动资源和固定资源的协调,MESS移动性可有效提高配电系统的弹性。该模型在两个集成测试系统上进行了验证,一个是在苏福尔斯运输网络和四个33总线配电系统上进行的,另一个是在新加坡交通网络基础上的测试系统,该系统连接了六个33总线配电系统。结果表明,由于移动资源和固定资源的协调,MESS移动性可有效提高配电系统的弹性。
更新日期:2020-04-22
down
wechat
bug