Affiliation:
1. University of A Coruña, Spain
2. CIEMAT, Spain
3. FH Joanneum University of Applied Sciences, Austria
4. University of A Coruna, Spain
Abstract
The increasing greenhouse emissions have led us to take advantage of renewable sources. The intermittency of these sources can be mitigated using energy storage systems. The present work shows three different strategies depending on the power management and other technical factors, such as energy quality, each one with a specific goal. The first strategy tries to improve the electricity quality, the second tries to reduce the penalties imposed by the grid manager to the power plant, and the third one tries to improve significantly the final economic profit of the generation companies. To achieve the above strategies, an intelligent model approach is explained with the aim to predict the energy demand and generation. These two factors play a key role in all cases. In order to validate the three proposed strategies, the data from a real storage/generation system consisting on an electrolyzer, a hydrogen tank, and a fuel cell were analyzed. In general terms, the three methods were checked, obtaining satisfactory results with an acceptable performance of the created system.