• DocumentCode
    2911114
  • Title

    Optimal coordination of protection relays using new hybrid evolutionary algorithm

  • Author

    Chunlin Xu ; Zou, Xiufen ; Yuan, Rongxiang ; Chuansheng

  • Author_Institution
    Sch. of Math. & Stat., Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    823
  • Lastpage
    828
  • Abstract
    A reliable protection system is vital to power system. As the major equipment of protection system, protection relay plays a basilica role in power system. So searching for proper settings of relays to make them operate in a better way is significant. In this paper, a new optimization problem formulation is proposed to search the optimal relay setting of over current relays in power systems. Then, a new hybrid evolutionary algorithm based on tabu search (HEATS) is presented to solve this optimization problem, and results under different algorithm parameters are obtained. Finally, comparisons among HEATS, one of particle swarm optimizations (PSO) and test evolutionary algorithm (TEA) shown in other literatures are given. Simulation results show the formulation of protection relay setting is feasible and effective, and the proposed algorithm HEATS exhibits a good performance.
  • Keywords
    evolutionary computation; overcurrent protection; particle swarm optimisation; power engineering computing; relay protection; hybrid evolutionary algorithm; optimal coordination; optimal relay setting; optimization problem formulation; over current relays; particle swarm optimizations; power system; protection relay setting; reliable protection system; tabu search; test evolutionary algorithm; Equations; Evolutionary computation; Image segmentation; Protection; Protective relaying; Relays; Evolutionary algorithm; optimal setting; power system protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4630891
  • Filename
    4630891