Application of Wind-Driven Optimization for Decision-Making in Economic Dispatch Problem

  • V. Udhay SankarEmail author
  • Bhanutej
  • C. H. Hussaian Basha
  • Derick Mathew
  • C. Rani
  • K. Busawon
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)


A number of optimization techniques have been used by researchers to solve the non-convex Economic Dispatch (ED) problem. In this paper, we have applied Wind-Driven Optimization (WDO), a heuristic global optimization technique to solve the ED problem. The technique was applied to three different test systems and the results obtained were compared and analyzed with the results obtained from other techniques. MATLAB R2017a was used for the coding and execution of the algorithm.


Economic dispatch Emission cost Wind-driven optimization Fuel cost 



Economic Dispatch


Wind-Driven Optimization


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • V. Udhay Sankar
    • 1
    Email author
  • Bhanutej
    • 1
  • C. H. Hussaian Basha
    • 1
  • Derick Mathew
    • 1
  • C. Rani
    • 1
  • K. Busawon
    • 2
  1. 1.School of Electrical EngineeringVIT UniversityVelloreIndia
  2. 2.Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle upon TyneUK

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