Placement of Synchronized Measurements for Power System Observability

This paper presents a method for the use of synchronized measurements for complete observability of a power system. The placement of phasor measurement units (PMUs), utilizing time-synchronized measurements of voltage and current phasors, is studied in this paper. An integer quadratic programming approach is used to minimize the total number of PMUs required, and to maximize the measurement redundancy at the power system buses. Existing conventional measurements can also be accommodated in the proposed PMU placement method. Complete observability of the system is ensured under normal operating conditions as well as under the outage of a single transmission line or a single PMU. Simulation results on the IEEE 14-bus, 30-bus, 57-bus, and 118-bus test systems as well as on a 298-bus test system are presented in this paper.

[1]  R. Roth,et al.  Computer Solutions to Minimum-Cover Problems , 1969, Oper. Res..

[2]  B. Taylor,et al.  Status Report on the ISO/IEC/OIML/BIPM Guide, Expression of Uncertainty in Measurement , 1992 .

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

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

[5]  B. Gou,et al.  A direct numerical method for observability analysis , 2000 .

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

[7]  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).

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

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

[10]  Luigi Fratta,et al.  Algorithms for WLAN Coverage Planning , 2004, EuroNGI Workshop.

[11]  Alessandro Ferrero,et al.  The random-fuzzy variables: a new approach to the expression of uncertainty in measurement , 2004, IEEE Transactions on Instrumentation and Measurement.

[12]  Ali Abur,et al.  Optimal Placement of Phasor Measurement Units for State Estimation , 2005 .

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

[14]  E. Kyriakides,et al.  Measurement Uncertainty Considerations in Optimal Sensor Deployment for State Estimation , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.

[15]  N. Bretas,et al.  Analysis of measurement-set qualitative characteristics for state-estimation purposes , 2007 .

[16]  S. Premrudeepreechacharn,et al.  An Optimal PMU Placement Method Against Measurement Loss and Branch Outage , 2007, IEEE Transactions on Power Delivery.

[17]  D. Novosel,et al.  Dawn of the grid synchronization , 2008, IEEE Power and Energy Magazine.

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