• DocumentCode
    719652
  • Title

    An analysis of economic load dispatch with ramp-rate limit constraints using different algorithms

  • Author

    Dasgupta, Koustav ; Banerjee, Sumit ; Chanda, Chandan Kumar

  • Author_Institution
    Electr. Eng. Dept., Dumkal Inst. of Eng. & Technol., Murshidabad, India
  • fYear
    2015
  • fDate
    28-30 May 2015
  • Firstpage
    232
  • Lastpage
    236
  • Abstract
    The economic load dispatch (ELD) plays an important role in power system operation and control. Different techniques have been used to solve these problems. Recently, the soft computing techniques have widely used in practical applications. This paper shows successful implementation of four evolutionary algorithms, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor approach (PSOCFA), particle swarm optimization with inertia weight factor approach (PSOIWA) and particle swarm optimization with constriction factor and inertia weight factor approach (PSOCFIWA) algorithms. Here ramp-rate limit constraints are considered to solve this problem. Here three cases have been considered. Four algorithms have been applied for each case. Optimum fuel cost is taken from each algorithm is compared for each cases (Case study I, II and III).
  • Keywords
    evolutionary computation; load dispatching; particle swarm optimisation; power system economics; ELD; PSOCFA; PSOCFIWA; constriction factor approach; economic load dispatch; evolutionary algorithms; inertia weight factor approach; particle swarm optimization; power system operation; ramp-rate limit constraints; soft computing techniques; Particle swarm optimization; Phase locked loops; Economic Load Dispatch; PSO; PSOCFA; PSOCFIWA; PSOIWA; Ramp-rate limit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Instrumentation and Control (ICIC), 2015 International Conference on
  • Conference_Location
    Pune
  • Type

    conf

  • DOI
    10.1109/IIC.2015.7150744
  • Filename
    7150744