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Open AccessArticle

Mixed Logic Dynamic Models for MPC Control of Wind Farm Hydrogen-Based Storage Systems

1
Group for Research on Automatic Control Engineering, Department of Engineering, University of Sannio, Piazza Roma 21, 82100 Benevento, Italy
2
ENEA Fusion and Nuclear Safety Department, Via Enrico Fermi 45, 00044 Frascati (Rome), Italy
*
Author to whom correspondence should be addressed.
Inventions 2019, 4(4), 57; https://doi.org/10.3390/inventions4040057
Received: 10 August 2019 / Revised: 11 September 2019 / Accepted: 18 September 2019 / Published: 26 September 2019
The use of electric power by wind generation in actual grids is hampered by its inherent stochastic nature and the penalty deviations adopted in several electricity regulation markets with respect to power quality requirements. Coupling wind farms with advanced Energy Storage Systems (ESS) can help their integration within grids. In this direction, several studies have been conducted, but the problem is still open due to the constraints and limitations regarding the ESSs time autonomy, time response, degradation issues and overall costs. In order to take into account these relevant aspects, advanced control algorithms are needed. In this paper, a Model-Based Predictive Controller (MPC) is presented. Such a controller minimizes the degradation of the ESS and the load tracking error while fulfilling the operational constraints and dynamics. The ESS considered is hydrogen-based and the study has been developed within the EU-FCH 2 JU (European Union Fuel Cells and Hydrogen 2 Joint Undertaking) funded project HAEOLUS aiming at building and integrating advanced control strategies for a hydrogen-based ESS within a wind farm fence. Numerical simulations show the feasibility and the effectiveness of the proposed approach. View Full-Text
Keywords: energy storage systems; hydrogen conversion; power to gas; energy management; mixed logic dynamics energy storage systems; hydrogen conversion; power to gas; energy management; mixed logic dynamics
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MDPI and ACS Style

Shehzad, M.F.; Abdelghany, M.B.; Liuzza, D.; Mariani, V.; Glielmo, L. Mixed Logic Dynamic Models for MPC Control of Wind Farm Hydrogen-Based Storage Systems. Inventions 2019, 4, 57.

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