• DocumentCode
    3579160
  • Title

    Design of damping controller for multimachine power system by using simplified swarm optimization

  • Author

    Bishal, Baibhav ; Soni, Bhanu Pratap ; Saxena, Akash ; Gupta, Vikas

  • Author_Institution
    Department of EE, Apex Inst. of Engg. & Tech., Jaipur, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents design of Power System Stabilizer (PSS) by using Simplified Swarm Optimization (SSO). PSS is a useful device to enhance the system damping and small signal stability of the power system. PSS design problem is an optimization problem. From the optimization process proper set of gain and time constants are calculated. Proper tuning of the parameters provides adequate amount of damping to the system. This paper presents a swarm based algorithm to address the above said optimization process. Objective function based on speed deviations is employed to calculate the parameters of PSSs of New England System (10 Generator & 39 Bus). To present a meaningful analysis the comparison of SSO is done with conventional optimization algorithms namely Particle Swarm optimization (PSO) and Genetic Algorithm (GA). Robustness of proposed method is tested over different type of perturbations, fault locations and loading conditions.
  • Keywords
    Algorithm design and analysis; Damping; Generators; Linear programming; Optimization; Particle swarm optimization; Power system stability; Automatic Voltage Regulator (AVR); Genetic Algorithm (GA); Particle Swarm Optimization (PSO); Power System Stabilizer (PSS); Simplified Swarm Optimization (SSO); Small Signal Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238398
  • Filename
    7238398