State estimation in two time scales for smart distribution systems

The monitoring of distribution systems relies on a critical set of pseudomeasurements and a varying but low number of redundant measurements. In the light of the different refreshing rates of both types of information, this paper considers a state estimation model structured in two time scales. Possibilities and limitations of the proposed model are discussed, and illustrated on a real distribution system comprising a diversity of load patterns.

[1]  S. M. Shahidehpour,et al.  State estimation for electric power distribution systems in quasi real-time conditions , 1993 .

[2]  J. Teng,et al.  Distribution system state estimation , 1995 .

[3]  Anjan Bose,et al.  Bandwidth and Latency Requirements for Smart Transmission Grid Applications , 2012, IEEE Transactions on Smart Grid.

[4]  Esther Romero-Ramos,et al.  Fast and reliable distribution load and state estimator , 2013 .

[5]  I. Džafić,et al.  Real-time Distribution System State Estimation , 2010, 2010 Conference Proceedings IPEC.

[6]  Fang Yang,et al.  A practical multi-phase distribution state estimation solution incorporating smart meter and sensor data , 2012, 2012 IEEE Power and Energy Society General Meeting.

[7]  Jianzhong Wu,et al.  A robust state estimator for medium voltage distribution networks , 2013, IEEE Transactions on Power Systems.

[8]  José Ragot,et al.  State estimation of two-time scale multiple models with unmeasurable premise variables. Application to biological reactors , 2010, 49th IEEE Conference on Decision and Control (CDC).

[9]  Joe H. Chow,et al.  Two-time-scale feedback design of a class of nonlinear systems , 1978 .

[10]  Sioe T. Mak,et al.  Synchronizing SCADA and Smart Meters operation for advanced smart distribution grid applications , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[11]  Martin Braun,et al.  Development of state estimator for low voltage networks using smart meters measurement data , 2013, 2013 IEEE Grenoble Conference.

[12]  Antonio Gómez Expósito,et al.  A Multilevel State Estimation Paradigm for Smart Grids , 2011, Proceedings of the IEEE.

[13]  Fred C. Schweppe,et al.  Power System Static-State Estimation, Part I: Exact Model , 1970 .

[14]  S. Sanders,et al.  Speed sensorless vector torque control of induction machines using a two-time-scale approach , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[15]  Bikash C. Pal,et al.  Real Time Estimation of Loads in Radial and Unsymmetrical Three-Phase Distribution Networks , 2013, IEEE Transactions on Power Systems.

[16]  Antonio Gómez Expósito,et al.  State estimation for smart distribution substations , 2013, 2013 IEEE Power & Energy Society General Meeting.

[17]  G. Yin,et al.  Continuous-time tracking algorithms involving two-time-scale Markov chains , 2005, IEEE Transactions on Signal Processing.

[18]  Anjan Bose,et al.  Smart Transmission Grid Applications and Their Supporting Infrastructure , 2010, IEEE Transactions on Smart Grid.

[19]  Thierry Van Cutsem,et al.  Reconstructing and tracking network state from a limited number of synchrophasor measurements , 2013, IEEE Transactions on Power Systems.

[20]  Bikash C. Pal,et al.  Choice of estimator for distribution system state estimation , 2009 .

[21]  M. Pai,et al.  Two time scale decomposition and stability analysis of power systems , 1988 .

[22]  Jianzhong Wu,et al.  Use of delayed smart meter measurements for distribution state estimation , 2011, 2011 IEEE Power and Energy Society General Meeting.