Identification of power system topology from synchrophasor data

With the growing prevalence of phasor measurement units (PMUs), an abundance of high-resolution data is becoming available for analysis. The problem arises of how to use the data to obtain information about the operating conditions of the system. We examine the use of data from PMUs to expose information about the underlying system topology. An equivalent network at the PMU buses is obtained. Changes in the equivalent line flows can also be mapped back to events in the full system if the normal system structure is known.

[1]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[2]  K. L. Lo,et al.  An extended ward equivalent approach for power system security assessment , 1997 .

[3]  J.F. Dopazo,et al.  An external system equivalent model using real-time measurements for system security evaluation , 1977, IEEE Transactions on Power Apparatus and Systems.

[4]  S. Vemuri,et al.  An external network modeling for on-line security analysis , 1989, Conference Papers Power Industry Computer Application Conference.

[5]  F. Alvarado.  Determination of External System Topology Errors , 1981, IEEE Transactions on Power Apparatus and Systems.

[6]  A. S. Debs.  Estimation of Steady-State Power System Model Parameters , 1974 .

[7]  Timothy M. Yardley,et al.  Exploring a tiered architecture for NASPInet , 2010, 2010 Innovative Smart Grid Technologies (ISGT).

[8]  Felix F. Wu,et al.  Critical review of external network modelling for online security analysis , 1983 .

[9]  T.J. Overbye,et al.  Wide Area Phasor Data Visualization , 2007, 2007 39th North American Power Symposium.

[10]  O. Alsac,et al.  Fast Decoupled Load Flow , 1974 .

[11]  Masao Fukushima,et al.  The Incremental Gauss-Newton Algorithm with Adaptive Stepsize Rule , 2003, Comput. Optim. Appl..

[12]  A.G. Phadke,et al.  Synchronized phasor measurements in power systems , 1993, IEEE Computer Applications in Power.

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

[14]  O. Alsaç,et al.  DC Power Flow Revisited , 2009, IEEE Transactions on Power Systems.

[15]  K. Gabriel,et al.  The biplot graphic display of matrices with application to principal component analysis , 1971 .

[16]  G. Irisarri,et al.  Real-Time External System Equivalent for on-Line Contingency Analysis , 1979, IEEE Transactions on Power Apparatus and Systems.

[17]  D. Bertsekas.  Incremental least squares methods and the extended Kalman filter , 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.