An Online Learning Method for Microgrid Energy Management Control*
An Online Learning Method for Microgrid Energy Management Control*
- Neue Suche nach: Casagrande, Vittorio
- Neue Suche nach: Ferianc, Martin
- Neue Suche nach: Rodrigues, Miguel
- Neue Suche nach: Boem, Francesca
- Neue Suche nach: Casagrande, Vittorio
- Neue Suche nach: Ferianc, Martin
- Neue Suche nach: Rodrigues, Miguel
- Neue Suche nach: Boem, Francesca
We propose a novel Model Predictive Control (MPC) scheme based on online-learning (OL) for microgrid energy management, where the control optimisation is embedded as the last layer of the neural network. The proposed MPC scheme deals with uncertainty on the load and renewable generation power profiles and on electricity prices, by employing the predictions provided by an online trained neural network in the optimisation problem. In order to adapt to possible changes in the environment, the neural network is online trained based on continuously received data. The network hyperparameters are selected by performing a hyperparameter optimisation before the deployment of the controller, using a pretraining dataset. We show the effectiveness of the proposed method for microgrid energy management through extensive experiments on real microgrid datasets. Moreover, we show that the proposed algorithm has good transfer learning (TL) capabilities among different microgrids.
Dokumentinformationen
An Online Learning Method for Microgrid Energy Management Control*
2023-07-25
In: 2023 31st Mediterranean Conference on Control and Automation (MED). IEEE: Limassol, Cyprus. (2023)
Paper
Elektronische Ressource
Englisch
| DDC: | 629 |
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