Toward optimal capacity expansion for an electric utility: the case of Saskatchewan Power.

The usefulness of mathematical programming models in assisting to solve capacity expansion problems in the electric power sector has increasingly been demonstrated. To date, however, little emphasis has been placed upon using the capabilities of these same models to investigate questions of economic...

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Publicado en:Canadian Journal of Economics Vol. 11; no. 3; pp. 447 - 470
Autor principal: Rowse, John
Formato: Artículo
Publicado: Wiley-Blackwell Aug78
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Toward optimal capacity expansion for an electric utility: the case of Saskatchewan Power.
      aug:
        au: Rowse, John
      su:
        Mathematical optimization
        Integer programming
        Industrial capacity
        Electric utilities
      sug:
        subj:
          Mathematical optimization
          Integer programming
          Industrial capacity
          Electric utilities
      ab: The usefulness of mathematical programming models in assisting to solve capacity expansion problems in the electric power sector has increasingly been demonstrated. To date, however, little emphasis has been placed upon using the capabilities of these same models to investigate questions of economic and public policy concern that inevitably are associated with the issue of capacity expansion. This paper illustrates how one mathemathical optimization technique, namely mixed integer programming, can be applied to the expansion problem of a specific electric utility, namely the Saskatchewan Power Corporation, to examine the cost and supply consequences of excluding from consideration particular investment alternatives possessing undesirable externalities and of employing policies which successfully reduce demand growth or smooth the variability of power demand.
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    language: English
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