Multi-objective transmission expansion planning considering uncertainty in wind power and demand

Abstract : This paper presents a multi-objective methodology for the Transmission Expansion Planning (TEP) problem when uncertainty in demand and large wind generation is considered. The proposed scheme is based on Reduced Scenario Methodology (RSM) to represent the uncertainty set. An enhanced NSGA-II multi-objective algorithm is used to minimize expansion costs and wind power curtailment, so that a set of Pareto optimal expansion plans are obtained. The performance of the expansion plans is evaluated and compared with previous work to demonstrate the robustness of the proposed approach. Test are carried out on Garver and the IEEE 24-bus RTS systems.
Type de document :
Communication dans un congrès
2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016, Sep 2016, Morelia, Mexico. IEEE, Proceedings 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA), pp.Article number 7805681 - ISBN 978-150902875-7, 2017, 〈10.1109/TDC-LA.2016.7805681〉
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https://hal-mines-paristech.archives-ouvertes.fr/hal-01506618
Contributeur : Brigitte Hanot <>
Soumis le : mercredi 12 avril 2017 - 10:43:41
Dernière modification le : mardi 27 mars 2018 - 16:06:22

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Carlos Adrian Correa Florez, Alejandro Sanchez Salcedo, Andres Felipe Panesso. Multi-objective transmission expansion planning considering uncertainty in wind power and demand. 2016 IEEE PES Transmission and Distribution Conference and Exposition-Latin America, PES T and D-LA 2016, Sep 2016, Morelia, Mexico. IEEE, Proceedings 2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA), pp.Article number 7805681 - ISBN 978-150902875-7, 2017, 〈10.1109/TDC-LA.2016.7805681〉. 〈hal-01506618〉

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