Title :
Optimal PMU placement with binary PSO
Author :
Peppanen, J. ; Alquthami, T. ; Molina, D. ; Harley, R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A growing number of Phasor Measurement Units (PMUs) are being installed throughout the power grid. Among other objectives, PMUs can be used in state estimation. Due to the high purchase price of a PMU and its high installation cost, a minimum number of PMUs is desired to make a given power network fully observable. This paper proposes a Particle Swarm Optimization based method to find the optimal PMU locations in a given grid topology. This method was tested successfully with the IEEE 14-bus, 30-bus, and 68-bus systems as well as with a large portion of the Brazilian power system.
Keywords :
particle swarm optimisation; phasor measurement; power grids; 30-bus system; 68-bus system; Brazilian power system; IEEE 14-bus system; binary PSO; grid topology; optimal phasor measurement unit placement; particle swarm optimization; state estimation; Atmospheric measurements; Current measurement; Particle measurements; Phasor measurement units; Power systems; Redundancy; Voltage measurement; Phasor measurement unit; binary particle swarm optimization; system observability;
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2012 IEEE
Conference_Location :
Raleigh, NC
Print_ISBN :
978-1-4673-0802-1
Electronic_ISBN :
978-1-4673-0801-4
DOI :
10.1109/ECCE.2012.6342640
