• DocumentCode
    3275348
  • Title

    A new method for risk analysis of reservoir generation dispatching

  • Author

    Zhang Yan-ke ; Wang Li-ping ; Zhang Xin-ming ; Ji Chang-ming ; Li An-qiang

  • Author_Institution
    New & Renewable Energy of Beijing Key Lab., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    1059
  • Lastpage
    1062
  • Abstract
    Risk analysis of reservoir generation dispatching plays an important role in seeking the best scheduling scheme that gives consideration to both risk and benefit. Traditional risk calculating method can´t meet the needs of medium and long-term electricity generation dispatching very well, so this paper proposed probability optimization method of risk analysis, and constructed a risk evaluation index system of long-term generation scheduling to quantify the risk. Based on the probability optimization method of risk analysis, a random expectation model of generation dispatching risk analysis is established. The case study shows that this model can get the relative maximize benefit of power generation under the condition of taking certain risks and have some theoretical significance and reference value for scheduling program development and decision-making.
  • Keywords
    decision making; hydroelectric power stations; optimisation; power generation dispatch; power generation scheduling; probability; risk analysis; decision-making; electricity generation dispatching; long-term generation scheduling; probability optimization method; program development scheduling; random expectation model; reservoir generation dispatching; risk analysis; risk calculating method; risk evaluation index system; Analytical models; Dispatching; Indexes; Reservoirs; Risk analysis; Scheduling; POMR; generation dispatching; hydropower; risk analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777367
  • Filename
    5777367