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A nonlinear programming approach to optimal static generation expansion planning

A. Ramos, I.J. Pérez-Arriaga, J. Bogas

It is shown how a standard nonlinear programming approach can be applied to solve a sophisticated version of the static optimal mix problem in generation planning. The model presented includes technical minima of thermal capacity, detailed operating models of storage-hydro and pumped-hydro units, a realistic model of capital costs for hydro plants, operating reserve and minimum demand constraints, and capacity already in existence. The model formulation is in a format that can be directly handled by the well-known MINOS code and can be efficiently solved. The use of a general-purpose nonlinear optimization program results in a great flexibility, making it possible to modify the model formulation easily or to adapt it to the characteristics of a particular electric system. A realistic application to the Spanish generation system is presented


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IEEE Transactions on Power Systems. Volumen: 4 Numero: 3 Páginas: 1140-1146

Índice de impacto JCR y cuartil Scopus: JCR impact factor: 6.807 (2018)

Referencia DOI: DOI icon 10.1109/MPER.1989.4310906    

Publicado en papel: Agosto 1989.



Cita:
A. Ramos, I.J. Pérez-Arriaga, J. Bogas. A nonlinear programming approach to optimal static generation expansion planning. IEEE Transactions on Power Systems. vol. 4, no. 3, pp. 1140-1146, Agosto 1989.


    Líneas de investigación:
  • *Análisis de estrategia a largo plazo

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