• 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