Optimized PMU Stationing for Wide Area Monitoring of Power Grid

Abstract At present time concerted efforts are being made for the implementation of smart grid technologies. PMUs play a significant role in the wide area monitoring system (WAMS). The major advantages of the WAMS include dynamic wide area measurements with faster rate and better accuracy. Observability of a complete power system with a minimum number of PMUs has always remained a challenge. This paper suggests a binary integer linear programming approach for finding out the optimal locations of PMUs in a system. Two indices viz. BOI (Bus Observability Index) and SORI (System Observability Redundancy Index) have been suggested to rank the various possible solutions of an OPP. IEEE 14, 24, 30 and New England 39 (NE 39) bus systems have been considered for simulation and the results show excellent computational efficiency of the algorithm.

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

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

[3]  A.G. Phadke,et al.  Recent developments in state estimation with phasor measurements , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[4]  Ali Mohammad Ranjbar,et al.  Optimal PMU Placement by an Equivalent Linear Formulation for Exhaustive Search , 2012, IEEE Transactions on Smart Grid.

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

[6]  A.G. Phadke,et al.  Synchronized phasor measurements in power systems , 1993, IEEE Computer Applications in Power.

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

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

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