Title :
Optimal PMU Placement by improved particle swarm optimization
Author :
Rather, Zakir Hussain ; Chengxi Liu ; Zhe Chen ; Thogersen, Paul
Author_Institution :
Innovation Centre, kk-Electron., Aalborg, Denmark
Abstract :
This paper presents an improved method of binary particle swarm optimization (IBPSO) technique for optimal phasor measurement unit (PMU) placement in a power network for complete system observability. Various effective improvements have been proposed to enhance the efficiency and convergence rate of conventional particle swarm optimization method. The proposed method of IBPSO ensures optimal PMU placement with and without consideration of zero injection measurements. The proposed method has been applied to standard test systems like 17 bus, IEEE 24-bus, IEEE 30-bus, New England 39-bus, IEEE 57-bus system and large power systems of IEEE 118-bus, IEEE 300-bus system and Western Danish power system. The effectiveness of the proposed method has been verified by comparison of results with previous methods.
Keywords :
IEEE standards; distribution networks; particle swarm optimisation; phasor measurement; transmission networks; 17 bus standard test system; IBPSO technique; IEEE 118-bus standard test system; IEEE 24-bus standard test system; IEEE 30-bus standard test system; IEEE 300-bus standard test system; IEEE 57-bus standard test system; New England 39-bus standard test system; Western Danish power system; improved binary particle swarm optimization; observability system; optimal PMU placement; phasor measurement unit; power network; zero injection measurement; Arrays; Convergence; Current measurement; Linear programming; Observability; Phasor measurement units; Power systems; PMU; power system observability; wide area measurement;
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2013 IEEE
Conference_Location :
Bangalore
Print_ISBN :
978-1-4799-1346-6
DOI :
10.1109/ISGT-Asia.2013.6698747
