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Development of a NARX state-of-charge predictor based on active power demand

Par Conseil national de recherches du Canada

DOITrouver le DOI : https://doi.org/10.1109/GridEdge54130.2023.10102751
AuteurRechercher : 1; Rechercher : ; Rechercher : 1; Rechercher : 2
Affiliation
  1. Conseil national de recherches du Canada. Aérospatiale
  2. Conseil national de recherches du Canada. Énergie, les mines et l'environnement
Bailleur de fondsRechercher : Research and Development
FormatTexte, Article
Conférence2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), April 10-13, 2023, San Diego, California, United States
Sujetenergy storage system; machine learning; modelling; NARX; neural network; state-of-charge prediction
Résumé
A simple neural network state-of-charge predictor trained on one-year of energy storage system data is presented. The model uses the active power command and the state-of-charge for the current time-step, and implements a nonlinear auto-regressive network with exogenous inputs to predict the state-of-charge at the subsequent time-step. The neural network training algorithm is written in the Julia programming language, independent of any existing machine learning platforms; the resulting model is compared to one developed using Python/TensorFlow. The simulation performance was validated with data collected from the energy storage system that was dispatched to follow a standard frequency regulation duty cycle not used as part of the training data. The mean-absolute-error between the predicted state of charge and the validation data is shown to be less then 1%, despite the limited data and lack of physical information about the system.
Date de publication
Maison d’éditionIEEE
Dans
  • 2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), 10102751 (18 avril 2023) : 1–5.
Langueanglais
Publications évaluées par des pairsOui
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Identificateur de l’enregistrementc65ef39d-c353-416c-b532-5b201c13aa40
Enregistrement créé2023-06-23
Enregistrement modifié2023-06-23
Date de modification :