Title :
PMU placement for power system observability using binary particle swarm optimization
Author :
Chakrabarti, S. ; Venayagamoorthy, G.K. ; Kyriakides, E.
Author_Institution :
Queensland Univ. of Technol., Brisbane, QLD
Abstract :
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.
Keywords :
particle swarm optimisation; power system control; power system measurement; redundancy; IEEE 14-bus; IEEE 30-bus; PMU placement; binary particle swarm optimization; measurement redundancy; optimal placement; phasor measurement units; power system buses; power system observability; Current measurement; Observability; Particle swarm optimization; Phasor measurement units; Power system measurements; Power system protection; Power system simulation; Power systems; Surface-mount technology; Voltage; Binary particle swarm optimization; observability; optimal placement; phasor measurement units;
Conference_Titel :
Power Engineering Conference, 2008. AUPEC '08. Australasian Universities
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7334-2715-2
Electronic_ISBN :
978-1-4244-4162-4
