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

Carlos Adrian Correa Florez; Alejandro Sanchez Salcedo; Andres Felipe Panesso

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

Carlos Adrian Correa Florez ^{1, *} Alejandro Sanchez Salcedo ² Andres Felipe Panesso ²

* Auteur correspondant

1 PERSEE - Centre Procédés, Énergies Renouvelables, Systèmes Énergétiques

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.

Keywords : Multi-objective optimization Robust expansion plans Transmission planning Uncertainty Wind generation

Type de document :

Communication dans un congrès

Domaine :

Sciences de l'ingénieur [physics] / Energétique

Liste complète des métadonnées

https://hal-mines-paristech.archives-ouvertes.fr/hal-01506618
Contributeur : Magalie Prudon <>
Soumis le : mercredi 12 avril 2017 - 10:43:41
Dernière modification le : lundi 12 novembre 2018 - 10:59:58

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

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

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