Selection of Control Parameters of Differential Evolution Algorithm for Economic Load Dispatch Problem

  • Narendra Kumar Yegireddy
  • Sidhartha Panda
  • Umesh kumar Rout
  • Rama Kishore Bonthu
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)


Differential evolution (DE) is a population based heuristic search algorithm for global optimization capable of handling non differentiable, nonlinear and multi-modal objective functions. The performance of this type of heuristic algorithms is heavily dependent on the setting of control parameters as proper selection of the control parameters is very important for the success of the algorithm. In this paper, a study of control parameters on the performance of DE algorithm for economic load dispatch problem has been addressed. The effectiveness of the proposed method is illustrated on a standard IEEE 30 bus test system. The results of the effect of the variation of different strategy, control parameters are presented. It is observed that the DE algorithm may fail in finding the optimal value if the strategy and control parameters are not chosen carefully.


Differential evolution Optimal power flow Control parameters Economic dispatch IEEE 30 bus test system 


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Copyright information

© Springer India 2015

Authors and Affiliations

  • Narendra Kumar Yegireddy
    • 1
  • Sidhartha Panda
    • 1
  • Umesh kumar Rout
    • 1
  • Rama Kishore Bonthu
    • 2
  1. 1.Department of Electrical and Electronics EngineeringVeer Surendra Sai University of Technology (VSSUT)BurlaIndia
  2. 2.Department of Electrical and Electronics EngineeringLendi Institute of Engineering and TechnologyVizianagaramIndia

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