Understanding the Benefits of Dynamic Line Rating under Multiple Sources of Uncertainty - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Power Systems Année : 2018

Understanding the Benefits of Dynamic Line Rating under Multiple Sources of Uncertainty

(1) , (2) , (2) , (2) , (1) , (1)
1
2

Résumé

This paper analyses the benefits of dynamic line rating (DLR) in the system with high penetration of wind generation. A probabilistic forecasting model for the line ratings is incorporated into a two-stage stochastic optimization model. The scheduling model, for the first time, considers the uncertainty associated with wind generation, line ratings and line outages to co-optimize the energy production and reserve holding levels in the scheduling stage as well as the re-dispatch actions in the real-time operation stage. Therefore, the benefits of higher utilization of line capacity can be explicitly balanced against the costs of increased holding and utilization of reserve services due to the forecasting error. The computational burden driven by the modelling of multiple sources of uncertainty is tackled by applying an efficient filtering approach. The case studies demonstrate the benefits of DLR in supporting costeffective integration of high penetration of wind generation into the existing network. We also highlight the importance of simultaneously considering the multiple sources of uncertainty in understanding the benefits of DLR. Furthermore, this paper analyses the impact of different operational strategies, the coordination among multiple flexible technologies and installed capacity of wind generation on the benefits of DLR.
Fichier principal
Vignette du fichier
teng-ieee2017.pdf (747.87 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01686328 , version 1 (17-01-2018)

Identifiants

Citer

Fei Teng, Romain Dupin, Andrea Michiorri, Georges Kariniotakis, Yanfei Chen, et al.. Understanding the Benefits of Dynamic Line Rating under Multiple Sources of Uncertainty. IEEE Transactions on Power Systems, 2018, 33 (3), pp.3306 - 3314. ⟨10.1109/TPWRS.2017.2786470⟩. ⟨hal-01686328⟩
323 Consultations
842 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More