Optimal PMU placement to ensure system observability under contingencies

Optimal placement of Phasor Measurement Units (PMUs), to ensure complete observability of power system, should not only be decided at the base case operating conditions but also must consider the contingency cases. This paper presents a simple and effective method for optimal placement of PMUs considering critical contingencies. A voltage stability based contingency screening method has been utilized to select critical contingency cases. An Integer Linear Programming (ILP) based algorithm for the PMU placement has been modified to determine optimal PMU locations under the system intact and the critical contingency cases. The proposed method is tested on the IEEE 14-bus system, New England 39-bus system and Northern Region Power Grid (NRPG) 246-bus Indian system and the test results have been compared with three more modified PMU placement methods viz. depth first search, direct spanning tree and direct N-1 spanning tree methods.

[1]  E. Kyriakides,et al.  Optimal Placement of Phasor Measurement Units for Power System Observability , 2008, IEEE Transactions on Power Systems.

[2]  M.B. Do Coutto Filho,et al.  Meter placement for power system state estimation using simulated annealing , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[3]  A.G. Phadke,et al.  Exploring the IEEE Standard C37.118–2005 Synchrophasors for Power Systems , 2008, IEEE Transactions on Power Delivery.

[4]  A. Abur,et al.  Observability analysis and measurement placement for systems with PMUs , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

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

[6]  A. G. Expósito,et al.  Generalized observability analysis and measurement classification , 1997, Proceedings of the 20th International Conference on Power Industry Computer Applications.

[7]  Federico Milano,et al.  A security oriented approach to PMU positioning for advanced monitoring of a transmission grid , 2002, Proceedings. International Conference on Power System Technology.

[8]  H. Mori,et al.  Tabu search based meter placement for topological observability in power system state estimation , 1999, 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333).

[9]  T. Baldwin,et al.  Power system observability with minimal phasor measurement placement , 1993 .

[10]  M. Begovic,et al.  Nondominated Sorting Genetic Algorithm for Optimal Phasor Maesurement Placement , 2002 .

[11]  M. Begovic,et al.  Nondominated sorting genetic algorithm for optimal phasor measurement placement , 2002, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[12]  A.G. Phadke,et al.  Phasor measurement unit placement techniques for complete and incomplete observability , 2005, IEEE Transactions on Power Delivery.