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 :
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