Optimal Offer of Automatic Frequency Restoration Reserve from a Combined PV/Wind Virtual Power Plant

Abstract : This paper presents a methodology for estimating the optimal amount of automatic Frequency Restoration Reserve provided by an aggregation of renewable power plants. The increasing penetration of distributed weather-dependent renewable generation presents a challenge to grid operators. Wind and photovoltaic power plants are technically able to provide ancillary services, but their stochastic behavior currently hinders their integration into reserve mechanisms. In the methodology developed a Quantile Regression Forest model is used to forecast the aggregated production and a copula-based approach integrates the dependence between prices and renewable production. We then propose and compare three strategies to derive an optimal quantile of the combined production forecasts that can be used as basis to provide a reliable ancillary service to the System Operator. The methodology is evaluated using historical prices for energy and automatic Frequency Restoration Reserve along with production measurements from several renewable power plants.
Type de document :
Article dans une revue
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger

Contributeur : Andrea Michiorri <>
Soumis le : vendredi 15 juin 2018 - 14:12:24
Dernière modification le : samedi 16 mars 2019 - 01:15:45
Document(s) archivé(s) le : lundi 17 septembre 2018 - 11:18:32


Fichiers produits par l'(les) auteur(s)



Simon Camal, Andrea Michiorri, Georges Kariniotakis. Optimal Offer of Automatic Frequency Restoration Reserve from a Combined PV/Wind Virtual Power Plant. IEEE Transactions on Power Systems, Institute of Electrical and Electronics Engineers, 2018, 33 (6), pp.6155 - 6170. ⟨10.1109/TPWRS.2018.2847239⟩. ⟨hal-01816576⟩



Consultations de la notice


Téléchargements de fichiers