• DocumentCode
    1071815
  • Title

    Optimal Wind–Thermal Generating Unit Commitment

  • Author

    Chen, Chun-Lung

  • Author_Institution
    Ming Hsin Univ. of Sci. & Technol., Hsin-Chu
  • Volume
    23
  • Issue
    1
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    273
  • Lastpage
    280
  • Abstract
    As wind power penetrations increase in isolated power systems, more innovative and sophisticated approaches to system operation will need to be adopted due to the intermittency and unpredictability of wind power generation. In this paper, a hybrid approach of combining branch and bound algorithm with a dynamic programming algorithm is developed to coordinate the wind and thermal generation scheduling problem for operating an isolated hybrid power system reliably and efficiently. Several technique constraints are applied to determine the maximum proportion of wind generator capacity that can be integrated into the system. A simplified dispatch based on the direct search method (DSM) is also introduced to relieve the computational burden further. Numerical experiments are included to understand the wind generator capacity in production cost analysis and to provide valuable information for both operational and planning problems.
  • Keywords
    dynamic programming; hybrid power systems; power generation scheduling; thermal power stations; wind power; bound algorithm; branch algorithm; direct search method; dynamic programming algorithm; hybrid power system; optimal wind thermal generating unit; scheduling problem; wind generator capacity; Capacity planning; Dynamic programming; Heuristic algorithms; Hybrid power systems; Power system dynamics; Power system reliability; Scheduling algorithm; Wind energy; Wind energy generation; Wind power generation; Branch and bound algorithm; direct search method (DSM); dynamic programming; spinning reserve; wind power penetration level; wind–thermal coordination scheduling;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2007.914188
  • Filename
    4453978