Sensitivity analysis of a simulation model for evaluating renewable distributed generation on a power network

Rodrigo Mena 1 Martin Hennebel 2 Enrico Zio 1, 3
1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
2 E3S - Supélec Sciences des Systèmes [Gif-sur-Yvette]
3 Energy Department
Abstract : We present a sensitivity analysis of a simulation model for the evaluation of the performance of a renewable distributed generation (DG) network. Uncertainties in renewable energy sources, components failure and repair events, loads and grid power supply are taken into account. The sensitivity analysis is performed individually with respect to the characteristic uncertain variables associated to each type of DG technology available. The impact of these uncertain variables is evaluated in terms of two performance functions, global cost (C g) and energy not supplied (ENS). The results show the trends of performance of the DG-integrated network under different conditions. This allows evaluating the impact of the different DG technologies.
Keywords : distribution network renewable energy generation power flow uncertainty Monte Carlo simulation sensitivity analysis
Type de document :
Communication dans un congrès
PMAPS 2014, Jul 2014, Durham, United Kingdom. IEEE, Proceedings of the 2014 International Conference on Probabilistic Methods Applied to Power Systems, pp.1 - 6, 2014, 〈10.1109/PMAPS.2014.6960673〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger
https://hal-supelec.archives-ouvertes.fr/hal-01090352
Contributeur : Yanfu Li <>
Soumis le : mercredi 3 décembre 2014 - 13:59:02
Dernière modification le : vendredi 1 juin 2018 - 13:27:36
Document(s) archivé(s) le : samedi 15 avril 2017 - 02:26:14

Fichier

paper_4v2_EZ_edited.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

SUPELEC | EC-PARIS | SUP_E3S | SUP_ENE | CENTRALESUPELEC | LGI | LGI-SR | GEEPS | ECO2 | UPMC

Citation

Rodrigo Mena, Martin Hennebel, Enrico Zio. Sensitivity analysis of a simulation model for evaluating renewable distributed generation on a power network. PMAPS 2014, Jul 2014, Durham, United Kingdom. IEEE, Proceedings of the 2014 International Conference on Probabilistic Methods Applied to Power Systems, pp.1 - 6, 2014, 〈10.1109/PMAPS.2014.6960673〉. 〈hal-01090352〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

148

Téléchargements de fichiers

138

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD