With the expansion of distributed generation systems and demand response programs, the need to fully utilize distribution system capacity has increased. In addition, the potential bidirectional flow of power on distribution networks demands voltage visibility and control at all voltage levels. Distribution system state estimations, however, have traditionally been less prioritized due to the lack of enough measurement points while being the major role player in knowing the real-time system states of active distribution networks. The advent of smart meters at LV loads, on the other hand, is giving relief to this shortcoming. This study explores the potential of bottom up load flow analysis based on customer level Automatic Meter Reading (AMRs) to compute short time forecasts of demands and distribution network system states. A state estimation frame-work, which makes use of available AMR data, is proposed and discussed.
展开▼
机译:The Metabolic Network of Bacillus subtilis by Constraints Based Reconstruction and Analysis (COBRA)AU Bui, Bin (1485507359@qq.com) Li, Gang Wei, CongChong Fan, Yadong Wang, Yongkang Wang, Wenfeng Xin, Weichen Yang, Yi Wen, Han
机译:Aggregating Data for the Flow-Intercepting Location Model: A Geographic Information System, Optimization, and Heuristic Framework. 截流选址模型的数据集计: 一个地理信息系统、优化和探索性框架
机译:Closure to 'Skeletonizing Pipes in Series within Urban Water Distribution Systems Using a Transient-Based Method' by Yuan Huang, Feifei Zheng, Huan-Feng Duan, Tuqiao Zhang, Xinlei Guo, and Qingzhou Zhang