Optimal PMU placement: A comprehensive literature review

This review outlines the benefits that Phasor Measurement Unit (PMU) integration has on the power network. It reviews past optimal placement techniques covering meta-heuristic and deterministic algorithms. Three best performing algorithms are chosen in terms of minimum required number of PMUs for full system observability. It concludes that Integer Linear Programming (ILP) is the most adaptable mathematical form to model a network. ILP shows the most adaptability in terms of modeling network contingencies and phased installation of PMUs. Further work will focus on developing a hybrid state estimation algorithm for improving state estimation on a medium term basis of 3–5 years.

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

[2]  S.A. Soman,et al.  Optimal Multistage Scheduling of PMU Placement: An ILP Approach , 2008, IEEE Transactions on Power Delivery.

[3]  Rene Avila-Rosales,et al.  Recent experience with a hybrid SCADA/PMU on-line state estimator , 2009, 2009 IEEE Power & Energy Society General Meeting.

[4]  J. S. Thorp,et al.  State Estimlatjon with Phasor Measurements , 1986, IEEE Transactions on Power Systems.

[5]  Goran Andersson,et al.  An implementation of two-stage hybrid state estimation with limited number of PMU , 2010 .

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

[7]  A.G. Phadke,et al.  An Alternative for Including Phasor Measurements in State Estimators , 2006, IEEE Transactions on Power Systems.

[8]  B. Gou.  Optimal Placement of PMUs by Integer Linear Programming , 2008, IEEE Transactions on Power Systems.

[9]  M. Shahidehpour,et al.  Contingency-Constrained PMU Placement in Power Networks , 2010, IEEE Transactions on Power Systems.

[10]  Russell C. Eberhart,et al.  A discrete binary version of the particle swarm algorithm , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[11]  Rajat Saini,et al.  OPTIMAL PLACEMENT OF PHASOR MEASUREMENT UNITS FOR POWER SYSTEM OBSERVABILITY , 2013 .

[12]  I. Ivankovic,et al.  Applications Based on PMU Technology for Improved Power System Utilization , 2007, 2007 IEEE Power Engineering Society General Meeting.

[13]  Reynaldo Francisco Nuqui,et al.  State Estimation and Voltage Security Monitoring Using Synchronized Phasor Measurements , 2001 .

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

[15]  Yuanzhan Sun,et al.  Optimal PMU placement for full network observability using Tabu search algorithm , 2006 .

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

[17]  Chi Su,et al.  Optimal Placement of Phasor Measurement Units with New Considerations , 2010, 2010 Asia-Pacific Power and Energy Engineering Conference.

[18]  F. J. Marín,et al.  Genetic algorithms for optimal placement of phasor measurement units in electrical networks , 2003 .

[19]  A. Abur,et al.  Bad Data Identification When Using Phasor Measurements , 2007, 2007 IEEE Lausanne Power Tech.

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

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

[22]  Christian Rehtanz,et al.  Design Aspects for Wide-Area Monitoring and Control Systems , 2005, Proceedings of the IEEE.

[23]  M. Fotuhi-Firuzabad,et al.  Optimal Placement of Phasor Measurement Units Using Immunity Genetic Algorithm , 2009, IEEE Transactions on Power Delivery.

[24]  B. Gou,et al.  Generalized Integer Linear Programming Formulation for Optimal PMU Placement , 2008, IEEE Transactions on Power Systems.

[25]  A. Abur,et al.  Improved bad data processing via strategic placement of PMUs , 2005, IEEE Power Engineering Society General Meeting, 2005.

[26]  Kenneth Holmström,et al.  The TOMLAB Optimization Environment , 2004 .

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