DocumentCode :
2006006
Title :
A load modeling algorithm for distribution system state estimation
Author :
Wang, Haibin ; Schulz, Noel N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
102
Abstract :
Distribution system state estimation (DSE) is essential for real-time monitoring and control of distribution systems. Because of the limited real-time measurements in the distribution systems, the state estimator cannot acquire enough real-time measurements, so pseudo-measurements are necessary for a distribution system state estimator. A load modeling procedure can provide real-time estimates of a customer load profile, which can be treated as the pseudo-measurements for DSE. In recent years, an increasing number of automated meter reading (AMR) systems have been installed. AMR can provide customer consumption information and other data such as confirmations for outages and restoration. In this paper, a real-time load modeling algorithm is discussed. The proposed algorithm makes use of the above information that AMR provides as its input. It also incorporates the use of the basic customer class load curve to improve the accuracy of individual customer real-time load estimates
Keywords :
automatic meter reading; computerised monitoring; load (electric); power distribution control; power system state estimation; AMR systems; automated meter reading systems; control; customer class load curve; customer consumption information; customer load profile; customer real-time load estimates; distribution system state estimation; limited real-time measurements; load modeling; pseudo-measurements; real-time measurements; real-time monitoring; state estimator; Automatic meter reading; Control systems; Load modeling; Meter reading; Monitoring; Power system management; Power system reliability; Real time systems; SCADA systems; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition, 2001 IEEE/PES
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-7285-9
Type :
conf
DOI :
10.1109/TDC.2001.971216
Filename :
971216
Link To Document :
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