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Loss of Load Probability of a Power System

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  • Pillai N, Vijayamohanan

Abstract

By virtue of the vital nature of electric power, both to our economic and personal well being, a power system is expected to supply electrical energy as economically as possible, and with a high degree of quality and reliability. The developed countries in general place higher reliability standards on the performance of electricity supply. However, there has been no significant study in the context of the Indian power sector to analyze reliability in terms of loss of load probability; the technical appraisal of the State power systems in general is confined to examining the plant load factor (PLF) as a measure of capacity utilization only. The present study is a modest attempt to evaluate the reliability of the Kerala power system in the framework of a theory-informed methodology – the first of its kind.

Suggested Citation

  • Pillai N, Vijayamohanan, 2008. "Loss of Load Probability of a Power System," MPRA Paper 6953, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:6953
    as

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    File URL: https://mpra.ub.uni-muenchen.de/6953/1/MPRA_paper_6953.pdf
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    References listed on IDEAS

    as
    1. Booth, Alison L & Chatterji, Monojit, 1998. "Unions and Efficient Training," Economic Journal, Royal Economic Society, vol. 108(447), pages 328-343, March.
    2. Cahuc, Pierre & Michel, Philippe, 1996. "Minimum wage unemployment and growth," European Economic Review, Elsevier, vol. 40(7), pages 1463-1482, August.
    3. Derek Laing & Theodore Palivos & Ping Wang, 1995. "Learning, Matching and Growth," Review of Economic Studies, Oxford University Press, vol. 62(1), pages 115-129.
    4. Burdett, Ken & Smith, Eric, 2002. "The low skill trap," European Economic Review, Elsevier, vol. 46(8), pages 1439-1451, September.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Loss of load probability; reliability; power system; Kerala;

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

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