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Transmission network expansion planning considering uncertainty in generation and demand

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3 Author(s)
A. H. Escobar ; Universidad Tecnólogica de Pereira, - Risaralda, Colombia ; R. A. Romero ; R. A. Gallego

This paper presents a mathematical model and a methodology to solve a transmission network expansion planning problem considering uncertainty in demand and generation. The methodology used to solve the problem, finds the optimal transmission network expansion plan that allows the power system to operate adequately in an environment with uncertainty. The model presented results in an optimization problem that is solved using a specialized genetic algorithm. The results obtained for known systems from the literature show that cheaper plans can be found satisfying the uncertainty in demand and generation.

Published in:

Transmission and Distribution Conference and Exposition: Latin America, 2008 IEEE/PES

Date of Conference:

13-15 Aug. 2008