An optimal PMU placement method for power system observability under various contingencies

Summary In this paper, an efficient and comprehensive formulation for the optimal placement of phasor measurement units (PMUs) is proposed to minimize the number of PMU installation subject to full network observability. Moreover, the formulation is extended for assuring complete observability under single PMU loss or single line outage cases. Since the proposed optimization formulation is regarded to be a multiple-solution one, both the installation cost and measurement redundancy are employed to differentiate the solutions with the same number of PMUs to be installed. In all of the investigations, the effect of zero-injection buses in the power system is considered. The effectiveness of the proposed method is verified via some IEEE standard systems and compared with some newly reported methods. Results show that the proposed method is simple to implement and more accurate compared to other existing methods. Moreover, by considering the presented method, the minimum number of required PMUs is decreased in some cases. Copyright © 2014 John Wiley & Sons, Ltd.

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

[2]  Y. Alinejad-Beromi,et al.  Optimal PMU placement for power system observability using binary particle swarm optimization and considering measurement redundancy , 2011, Expert Syst. Appl..

[3]  Babak Mozafari,et al.  Optimal placement of PMUs to maintain network observability using a modified BPSO algorithm , 2011 .

[4]  Rahmat-Allah Hooshmand,et al.  A new method for optimal placement of phasor measurement units to maintain full network observability under various contingencies , 2012 .

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

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

[7]  Michaël Hurtgen,et al.  Optimal PMU placement using Iterated Local Search , 2010 .

[8]  Ashok Kumar Pradhan,et al.  An optimal PMU placement technique for power system observability , 2012 .

[9]  H.M. Ismail,et al.  A Unified Approach for the Optimal PMU Location for Power System State Estimation , 2009, IEEE Transactions on Power Systems.

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

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

[12]  K. S. Swarup,et al.  Multi-objective biogeography based optimization for optimal PMU placement , 2012, Appl. Soft Comput..

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

[14]  Jianfeng Guo,et al.  Multi-objective optimal PMU placement using a non-dominated sorting differential evolution algorithm , 2010 .

[15]  Seema Singh,et al.  Optimal PMU placement method for complete topological and numerical observability of power system , 2010 .

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

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

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

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

[20]  A. Abur,et al.  Robust Measurement Design by Placing Synchronized Phasor Measurements on Network Branches , 2010, IEEE Transactions on Power Systems.

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

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

[23]  Ying-Hong Lin,et al.  A new PMU-based fault detection/location technique for transmission lines with consideration of arcing fault discrimination-part I: theory and algorithms , 2004 .

[24]  Ali Abur,et al.  OPTIMAL PLACEMENT AND UTILIZATION OF PHASOR MEASUREMENTS FOR STATE ESTIMATION , 2005 .

[25]  M. T. Hagh,et al.  Minimizing the number of PMUs and their optimal placement in power systems , 2012 .