Pre-processing of pseudo measurements based on AMI data for distribution system state estimation

Distribution systems have become more dynamic in recent years due to growing trend of distributed energy that includes distributed generation, energy storages and electric vehicle charging stations. To deal with these changes in distribution system design, distribution utilities are facing a challenge to efficiently monitor the system. Distribution system state estimation (DSSE) is recognized as fundamental application for network monitoring. Due to lack of real-time measurement distribution network quality of DSSE results highly depend on quality of pseudo-measurements of unmonitored buses, which are usually obtained from daily load(generation) profiles (DLP/DGP). Increased deployment of smart meters as a part of Advanced Meter Infrastructure (AMI) systems brings new capabilities in pre-processing of pseudo-measurements. This paper presents several different methods for utilization smart meter readings in pseudo-measurement pre-processing. All proposed method are tested on reallife distribution feeder and results are presented as a part of this paper.