Use of delayed smart meter measurements for distribution state estimation

The feasibility of using delayed smart meter measurements for distribution state estimation is investigated. It was assumed that smart meters take local measurements, store them, and transmit a batch of information twice a day. An 11 kV underground network (the UK Generic Distribution Network) with various numbers of distributed generators connected was used for the study. The error and standard deviations of the voltage estimates are reported for a varying number of near realtime measurements from the distributed generators. Simulations results for different loads and generation outputs are also reported. The results shows that the voltages of a distribution network can be estimated reliably by a state estimator using the previous day's smart meter measurements and a small number of near real-time measurements.

[1]  Mesut Baran,et al.  Distribution system state estimation using AMI data , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[2]  Haibin Wang,et al.  A load modeling algorithm for distribution system state estimation , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[3]  Malcolm Irving,et al.  Robust algorithm for load estimation in distribution networks , 1998 .

[4]  A. K. Ghosh,et al.  Load modeling for distribution circuit state estimation , 1996 .

[5]  Felix F. Wu,et al.  Comparison of different methods for state estimation , 1988 .

[6]  A. W. Kelley,et al.  State estimation for real-time monitoring of distribution systems , 1994 .

[7]  M. Thomson,et al.  Network Power-Flow Analysis for a High Penetration of Distributed Generation , 2006, IEEE Transactions on Power Systems.