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A nonlinear programming approach to optimal static generation expansion planning

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

IEEE Transactions on Power Systems Vol. 4, nº. 3, pp. 1140 - 1146

Summary:

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


JCR Impact Factor and WoS quartile: 6,500 - Q1 (2023)

DOI reference: DOI icon https://doi.org/10.1109/MPER.1989.4310906

Published on paper: August 1989.

Published on-line: August 1989.



Citation:
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, August 1989. [Online: August 1989]


    Research topics:
  • *Long-Term Strategic Analysis

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