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A mix-integer NLP approach for subtransmission expansion planning

M.A. Gallego-Preciado, T. Gómez, J. Peco, J. Rivier

This paper presents a mix-integer non-linear programming approach for subtransmission network expansion planning. This optimization minimizes investment cost and operational cost, and is suitable for mid-term and long-term horizons. Operational cost are evaluated taking into account a base case together with all single N-1 network contingencies. Base case operational cost considers line losses and not supplied energy, while every contingency operational cost considers not supplied energy and circuit’s overloads, because in these situations, overloads below a maximum percentage are allowed. The developed optimization model is applied to a realistic Spanish subtransmission network.


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I Congreso de la Asociación Española para la Economía Energética (AEEE). Madrid (España). 16-17 Enero 2006

Published: January 2006.


    Research topics:

IIT-06-053A

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