PMU placement for power system observability using binary particle swarm optimization

A binary particle swarm optimization (BPSO) based methodology for the optimal placement of phasor measurement units (PMUs) for complete observability of a power system is presented in this paper. The objectives of the optimization problem are to minimize the total number of PMUs required, and to maximize the measurement redundancy at the power system buses. Simulation results on the IEEE 14-bus and 30-bus test systems are presented in this paper.

[1]  Saikat Chakrabarti,et al.  Optimal placement of phasor measurement units for state estimation , 2007 .

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

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

[4]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

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

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

[7]  Elias Kyriakides,et al.  Uncertainty in Power System State Variables Obtained Through Synchronized Measurements , 2009, IEEE Transactions on Instrumentation and Measurement.

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

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

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

[11]  Suttichai Premrudeepreechacharn,et al.  An Optimal PMU Placement Method Against Measurement Loss and Branch Outage , 2007 .

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

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

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

[15]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[16]  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).

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

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