• DocumentCode
    233495
  • Title

    Particle swarm optimization sliding mode control on interconnected power system

  • Author

    Xuejiao Guo ; Xiangjie Liu

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    93
  • Lastpage
    97
  • Abstract
    This paper presents the usage of particle swarm optimization sliding mode control(PSOSMC) on load-frequency in multi-area interconnected power systems. Compared with other schemes, the PSOSM controller not only can reduce large overshoots, which occurs at the instant of the step change of parameters, but also its control law parameter setting is simple and easy to implement. As we all know, one of the main obstacles of SMC is the difficulty in choosing optimal controller parameter which defines the sliding surface especially for large multi-input systems. The PSO algorithm is used to search for the optimal values of both the switching vector and feedback gains in the control law. The proposed methodology considers power system´s nonlinearity as well, including the valve limit on the governor and the generation rate constraints (GRC) problem. It is tested with a four-area interconnected power system. Simulation results demonstrate the effectiveness of the proposed control algorithm.
  • Keywords
    optimal control; particle swarm optimisation; power generation control; power system interconnection; variable structure systems; GRC problem; PSOSMC; feedback gains; generation rate constraints problem; load-frequency; multiarea interconnected power systems; multiinput systems; optimal controller parameter; particle swarm optimization; power system nonlinearity; sliding mode control; sliding surface; switching vector; Frequency control; Particle swarm optimization; Power system stability; Switches; Vectors; AGC; PSO; SMC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896602
  • Filename
    6896602