• DocumentCode
    2547804
  • Title

    Development of a new loss prediction method in a deregulated power market using proportional sharing

  • Author

    Nallagownden, Perumal ; Hong, Tee Ping

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2011
  • fDate
    6-7 June 2011
  • Firstpage
    48
  • Lastpage
    53
  • Abstract
    The advent of worldwide deregulation of power industry and unbundling of transmission services have resulted in the need to measure the flow of power primarily for pricing and tariff purposes. Reliable analysis and prediction of electrical losses is therefore attracting more attention than ever for efficient power system management. This paper presents a novel approach for the loss prediction in the deregulated power market with the insight from Euler´s Method. The effectiveness of the proposed approach is demonstrated by visual comparison and strict statistical criterion as the results suggest that it proves to be astoundingly accurate for the prediction of system losses and the associated bus losses. MATLAB with matpower4.0b extension was used to present the study on IEEE 24-bus RTS and a larger IEEE 57-bus test case.
  • Keywords
    load flow; power markets; power system management; power transmission; pricing; tariffs; Euler´s method; IEEE 24-bus RTS; IEEE 57-bus test; MATLAB; associated bus losses; deregulated power market; electrical losses; loss prediction; matpower4.0b extension; power flow; power industry; power system management; pricing; proportional sharing; tariff; transmission services; Approximation methods; Equations; Generators; Heating; Load flow; Power demand; Resource management; Euler´s Method; Learning Coefficients; Loss Prediction; Proportional Sharing; Regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2011 5th International
  • Conference_Location
    Shah Alam, Selangor
  • Print_ISBN
    978-1-4577-0355-3
  • Type

    conf

  • DOI
    10.1109/PEOCO.2011.5970406
  • Filename
    5970406