• Title of article

    Solution to the unit commitment problem using an artificial neural network

  • Author/Authors

    ZAREIAN JAHROMI, Mehdi graduate university of advanced technology - Department of Electrical and Computer Engineering, كرمان, ايران , HOSSEINI BIOKI, Mohammad Mehdi graduate university of advanced technology - Department of Electrical and Computer Engineering, كرمان, ايران , RASHIDINEJAD, Masoud shahid bahonar university of kerman - Department of Electrical Engineering, كرمان, ايران , FADAEINEDJAD, Roohollah graduate university of advanced technology - Department of Electrical and Computer Engineering, كرمان, ايران

  • From page
    198
  • To page
    212
  • Abstract
    This paper proposes a real-time solution to the unit commitment problem by considering different constraints like ramp-up rate, unit operation emissions, next hours load, and minimum down time. In this method, an optimized trade-off between cost and emission has been taken into consideration. The effectiveness of the proposed method was verified by the significant outcomes demonstrated.
  • Keywords
    Unit commitment , artificial neural network , genetic algorithm
  • Journal title
    Turkish Journal of Electrical Engineering and Computer Sciences
  • Journal title
    Turkish Journal of Electrical Engineering and Computer Sciences
  • Record number

    2532427