Title :
Distribution system state estimation using AMI data
Author :
Baran, Mesut ; McDermott, T.E.
Author_Institution :
Dept. of ECE, NC State Univ., Raleigh, NC
Abstract :
This paper focuses on the use of new data available from the Advanced Metering Infrastructure (AMI) for real time monitoring and control of a distribution system. AMI will provide two new type of data - voltage measurements and power demand at customer sites. This data needs to be processed to get an estimate of operating condition (i.e, the load profile) on a distribution feeder. The paper focuses on the use of a branch current based state estimation (BCSE) method that is adopted for this purpose. BCSE is specially tailored for radial distribution systems and the paper summarizes the enhancements made to adopt the method so that the new data from AMI can be used to improve the accuracy of estimation.
Keywords :
distribution networks; power system control; power system measurement; power system state estimation; AMI data; Advanced Metering Infrastructure; branch current based state estimation; distribution feeder; distribution system; power demand; real time power control; real time power monitoring; voltage measurements; Ambient intelligence; Current measurement; Energy management; Monitoring; Power measurement; Power system management; Q measurement; State estimation; Strontium; Substations; distribution systems; power system monitoring; state estimation;
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
DOI :
10.1109/PSCE.2009.4840257