Optimal Phasor Measurement Units Placement for fault location on overhead electric power distribution feeders

This paper proposes a new approach for optimal phasor measurement units placement for fault location on electric power distribution systems using Greedy Randomized Adaptive Search Procedure metaheuristic and Monte Carlo simulation. The optimized placement model herein proposed is a general methodology that can be used to place devices aiming to record the voltage sag magnitudes for any fault location algorithm that uses voltage information measured at a limited set of nodes along the feeder. An overhead, three-phase, three-wire, 13.8 kV, 134-node, real-life feeder model is used to evaluate the algorithm. Tests show that the results of the fault location methodology were improved thanks to the new optimized allocation of the meters pinpointed using this methodology.

[1]  Gareth J. Janacek,et al.  Monte Carlo simulation and random number generation , 1988, IEEE J. Sel. Areas Commun..

[2]  D. Shirmohammadi,et al.  A three-phase power flow method for real-time distribution system analysis , 1995 .

[3]  M. Kezunovic,et al.  Improved Fault Location on Distribution Feeders Based on Matching During-Fault Voltage Sags , 2009, IEEE Transactions on Power Delivery.

[4]  I.N. da Silva,et al.  Efficient fuzzy approach for allocating fault indicators in power distribution lines , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America.

[5]  J.R.S. Mantovani,et al.  PMUs optimized allocation using a tabu search algorithm for fault location in electric power distribution system , 2004, 2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956).

[6]  T. Feo,et al.  Greedy Randomized Adaptive Search Procedures , 1995, Handbook of Metaheuristics.

[7]  Wang Peng,et al.  Comparison of several PMU placement algorithms for state estimation , 2004 .