A state estimation algorithm for monitoring topology changes in distribution systems

This paper proposes a state estimation algorithm for the monitoring of topological changes in distribution networks, using real measurements at substations, pseudo measurements at load and distributed generation buses, and zero injections at transition buses. This is accomplished by a generalized state estimation formulation, based on a weighted least squares approach with equality constraints, which involves both real and pseudo analog measurements and operational constraints for the switching devices. Estimates of state variables and switching device statuses are simultaneously provided. The normalized residual test is used to effectively identify gross errors in analog and topological data. The network splitting problem, caused by switching operations, is also investigated by introducing appropriate pseudo measurements. An advantage over previous methods is that the proposed approach eliminates the need of repeated state estimation runs for alternative hypothesis evaluation. A 17-bus distribution network is employed to demonstrate its effectiveness.

[1]  Renke Huang,et al.  Smart Grid Technologies for Autonomous Operation and Control , 2011, IEEE Transactions on Smart Grid.

[2]  K. A. Clements,et al.  Topology error identification using normalized Lagrange multipliers , 1998 .

[3]  Gerald Thomas Heydt,et al.  The Next Generation of Power Distribution Systems , 2010, IEEE Transactions on Smart Grid.

[4]  M. Gilles,et al.  Observability and bad data analysis using augmented blocked matrices (power system analysis computing) , 1993 .

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

[6]  Fernando L. Alvarado,et al.  Network topology determination using least absolute value state estimation , 1995 .

[7]  Iain S. Duff,et al.  MA57---a code for the solution of sparse symmetric definite and indefinite systems , 2004, TOMS.

[8]  O. Alsac,et al.  Topology estimation , 2005, IEEE Power Engineering Society General Meeting, 2005.

[9]  A. Monticelli.  State estimation in electric power systems : a generalized approach , 1999 .

[10]  A. Monticelli.  Modeling circuit breakers in weighted least squares state estimation , 1993 .

[11]  Ke Li,et al.  State estimation for power distribution system and measurement impacts , 1996 .

[12]  George E. Chatzarakis,et al.  Substation topology identification in generalized state estimation , 2006 .

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

[14]  A. Abur,et al.  Breaker Status Identification , 2010, IEEE Transactions on Power Systems.

[15]  Felix F. Wu,et al.  Detection of topology errors by state estimation (power systems) , 1989 .

[16]  H. Glavitsch,et al.  Detection and identification of topological errors in online power system analysis , 1991 .

[17]  Goran Strbac,et al.  A Recursive Bayesian Approach for Identification of Network Configuration Changes in Distribution System State Estimation , 2010, IEEE Transactions on Power Systems.

[18]  Nikos D. Hatziargyriou,et al.  State estimation in Multi‐Microgrids , 2011 .

[19]  Lamine Mili,et al.  A robust estimation method for topology error identification , 1999 .

[20]  Anjan Bose,et al.  A topology processor that tracks network modifications , 1988 .

[21]  I. S. Costa,et al.  Identification of topology errors in power system state estimation , 1993 .

[22]  A. G. Expósito,et al.  Power system state estimation : theory and implementation , 2004 .

[23]  A. K. Ghosh,et al.  Distribution circuit state estimation using a probabilistic approach , 1997 .

[24]  M. K. Celik,et al.  A practical distribution state calculation algorithm , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[25]  George N. Korres,et al.  Identifilcation of Circuit Breaker Statuses in WLS State Estimator , 2002 .

[26]  O. Alsaç,et al.  Generalized state estimation , 1998 .

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

[28]  G. R. Krumpholz,et al.  The Solution of Ill-Conditioned Power System State Estimation Problems Via the Method of Peters and Wilkinson , 1983, IEEE Transactions on Power Apparatus and Systems.

[29]  R. Lugtu,et al.  Power System State Estimation: Detection of Topological Errors , 1980, IEEE Transactions on Power Apparatus and Systems.

[30]  M. Bertran,et al.  On the Validation and Analysis of a New Method for Power Network Connecticity Determination , 1982, IEEE Transactions on Power Apparatus and Systems.

[31]  K. Clements,et al.  Detection and identification of topology errors in electric power systems , 1988 .

[32]  Ali Abur,et al.  Identifying the unknown circuit breaker statuses in power networks , 1995 .

[33]  G. N. Korres,et al.  Identifilcation of Circuit Breaker Statuses in WLS State Estimator , 2002, IEEE Power Engineering Review.

[34]  K. Clements,et al.  Bayesian-based hypothesis testing for topology error identification in generalized state estimation , 2004, IEEE Transactions on Power Systems.

[35]  D. Shirmohammadi,et al.  Estimation of switch statuses for radial power distribution systems , 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

[36]  K. Clements,et al.  A topology error identification method directly based on collinearity tests , 2006, 2005 IEEE Russia Power Tech.

[37]  A. Monticelli.  Testing equality constraint hypotheses in weighted least squares state estimators , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[38]  Felix F. Wu,et al.  Detection of Topology Errors by State Estimation , 1989, IEEE Power Engineering Review.