DocumentCode
3776352
Title
Optimal PMU placement by teaching-learning based optimization algorithm
Author
Akhil Raj;Chintham Venkaiah
Author_Institution
Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India
fYear
2015
Firstpage
1
Lastpage
6
Abstract
In this paper Teaching-Learning-Based Optimization Algorithm (TLBO) is presented for solving the problem of placement of phasor measurement units (PMU) optimally in a power system network for complete observability. The TLBO algorithm enables optimal PMU placement by zero injection measurements and also by not including zero injection measurements. The algorithm has been tested on standard test systems such as IEEE 14-bus, IEEE 30-bus, IEEE 57-bus and the results are contrasted with other optimization algorithms like Genetic Algorithm and Binary PSO.
Keywords
"Phasor measurement units","Genetic algorithms","Optimization","Sociology","Statistics","Observability","Particle swarm optimization"
Publisher
ieee
Conference_Titel
Systems Conference (NSC), 2015 39th National
Type
conf
DOI
10.1109/NATSYS.2015.7489080
Filename
7489080
Link To Document