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- Title
Hybrid Intelligent Modelling in Renewable Energy Sources-Based Microgrid. A Variable Estimation of the Hydrogen Subsystem Oriented to the Energy Management Strategy.
- Authors
Casteleiro-Roca, José-Luis; Vivas, Francisco José; Segura, Francisca; Barragán, Antonio Javier; Calvo-Rolle, Jose Luis; Andújar, José Manuel
- Abstract
This work deals with the prediction of variables for a hydrogen energy storage system integrated into a microgrid. Due to the fact that this kind of system has a nonlinear behaviour, the use of traditional techniques is not accurate enough to generate good models of the system under study. Then, a hybrid intelligent system, based on clustering and regression techniques, has been developed and implemented to predict the power, the hydrogen level and the hydrogen system degradation. In this research, a hybrid intelligent model was created and validated over a dataset from a lab-size migrogrid. The achieved results show a better performance than other well-known classical regression methods, allowing us to predict the hydrogen consumption/generation with a mean absolute error of 0.63% with the test dataset respect to the maximum power of the system.
- Subjects
ENERGY management; ENERGY storage; MICROGRIDS; HYDROGEN; HYDROGEN storage; HYBRID systems; HYDROGEN as fuel; INTERSTITIAL hydrogen generation
- Publication
Sustainability (2071-1050), 2020, Vol 12, Issue 24, p10566
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su122410566