• DocumentCode
    607460
  • Title

    Spinning reserve planning under large wind power penetration considering carbon dioxide emission

  • Author

    Cheng-Chien Kuo

  • Author_Institution
    Dept. of Electr. Eng., St. John´s Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    1343
  • Lastpage
    1348
  • Abstract
    With the increasing international concern about carbon dioxide (CO2) emissions, it is no longer adequate to plan spinning reserves taking only the lowest production cost into account. Therefore, the purpose of this paper was to present an optimal spinning reserve planning scheme considering CO2 emissions and the variations in the system reliability index while incorporating renewable energy in the power dispatch selection. First, two different objective scheduling modes of production costs and CO2 emissions were introduced, and then solved the unit commitment problem in different spinning reserves and wind penetrations. In order to obtain a higher probability of the global optimum, the simulation process used appropriate coding techniques to meet the constraints. Secondly, the Monte Carlo simulation to acquire the reliability assessment of these unit commitment solutions was utilized. The salient feature of the simulation strategy was that the decision-maker could make a proper spinning reserve level involving environmental, economic and reliability factors simultaneously. Finally, taking the 27-unit system of the Taiwan power system as a test example, the simulation results showed that the proposed approach could indeed assist the power industry in setting the value of the spinning reserve.
  • Keywords
    Monte Carlo methods; air pollution control; power generation dispatch; power generation economics; power generation planning; power generation reliability; power generation scheduling; probability; wind power plants; 27-unit system; CO2; Monte Carlo simulation; Taiwan power system; carbon dioxide emission; coding techniques; decision-maker; economic factors; environmental factors; global optimum probability; large wind power penetration; objective scheduling modes; optimal spinning reserve planning scheme; power dispatch selection; power industry; production cost; reliability assessment; reliability factors; renewable energy; system reliability index; unit commitment problem; carbon dioxide; monte carlo simulation; particle swarm optimization; spinning reserve; unit commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0894-6
  • Type

    conf

  • Filename
    6530549