Using Advanced Metering Infrastructure Data to Detect and Improve Customer Voltage Quality Issues
Document Type
Article
Publication Title
Proceedings of the International Conference on Industrial Engineering and Operations Management
Abstract
Advanced Metering Infrastructure (AMI) is being adopted worldwide by Electric Utilities because of the multiple benefits offered by the automated meter data transfer it provides. The Utility Industry has been exploring methods to best leverage the abundance of AMI data now available to maximize customer power quality and develop delivery efficiencies to reduce customer electricity rates. Utilities are required by regulations to provide power at voltage levels within a set bandwidth of the nominal delivery voltage at the point of delivery to the customer. Variances in the voltage delivered by utilities can cause a multitude of issues for the individual customer and for the entire distribution grid system. AMI meters have the capability to provide voltage data at short time intervals, a 1-hour interval sample and 15-minute interval sample are quite common. A DMAIC process can be developed to allow an electric utility to appropriately review and act upon the AMI voltage data available. In this paper, first the voltage specifications will be defined (D) and measurement (M) of data is explained. Analysis (A) of the abundant data is an area of significance. Finally, suggestions are made from the analysis to improve (I) the utility management of voltage issues and control (C) the distribution grid to better maintain within specifications.
DOI
10.46254/an13.20230013
Publication Date
3-9-2023
Recommended Citation
Hossain, Niamat Ullah; Sokolov, Alexandr M.; Karbon, Scott; and Merrill, Brian, "Using Advanced Metering Infrastructure Data to Detect and Improve Customer Voltage Quality Issues" (2023). Engineering & Construction Management Faculty Publications. 11.
https://arch.astate.edu/ecs-emcmfac/11
Comments
Presented at the 13th Annual International Conference on Industrial Engineering and Operations Management.