• DocumentCode
    2287279
  • Title

    A Novel Approach for Eco-Friendly and Economic Power Dispatch using MATLAB

  • Author

    Kothari, D.P. ; Parmar, K. P Singh

  • Author_Institution
    Center for Energy Studies, Indian Inst. of Technol., New Delhi
  • fYear
    2006
  • fDate
    12-15 Dec. 2006
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The paper proposes an optimization approach to determine the most appropriate generation schedule of a thermal power plant. The problem is formulated considering two objectives: Operating cost and NOX emission. The weighting method is used to simulate the trade-off relation between the conflicting objectives in the non-inferior domain. Decision maker uses fuzzy set theory to choose the best alternative among non-inferior solutions. MATLAB platform is used to provide the on-line solution of the problem. The effectiveness of the methodology is demonstrated through an example. The thermal generation schedule obtained is economic and environment friendly.
  • Keywords
    air pollution control; decision making; fuzzy set theory; optimisation; power generation dispatch; power generation economics; power generation scheduling; thermal power stations; MATLAB; NOX emission; decision making; eco-friendly economic power dispatch; fuzzy set theory; generation scheduling; operating cost; optimization; thermal power plant; weighting method; Cost function; Decision making; Environmental economics; Fuel economy; Job shop scheduling; MATLAB; Power generation; Power generation economics; Power system economics; Thermal loading; Decision making; Economic power dispatch; Fuel cost; Fuzzy set; Multi-objective optimization; Weighting method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    0-7803-9772-X
  • Electronic_ISBN
    0-7803-9772-X
  • Type

    conf

  • DOI
    10.1109/PEDES.2006.344286
  • Filename
    4147993