Mixed logic dynamic models for MPC control of wind farm hydrogen-based storage systems
Autor: | Luigi Glielmo, Davide Liuzza, Muhammad Faisal Shehzad, Muhammad Bakr Abdelghany, Valerio Mariani |
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Přispěvatelé: | Shehzad, M. F., Abdelghany, M. B., Liuzza, D., Mariani, V., Glielmo, L. |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
lcsh:Engineering machinery
tools and implements Energy management Computer science 020209 energy Energy storage system 02 engineering and technology Energy storage systems Hydrogen conversion Mixed logic dynamics Power to gas Mixed logic dynamic 7. Clean energy mixed-logic dynamics Energy storage Tracking error Control theory 0202 electrical engineering electronic engineering information engineering media_common.cataloged_instance European union lcsh:Technological innovations. Automation media_common lcsh:HD45-45.2 Wind power power-to-gas business.industry General Engineering 021001 nanoscience & nanotechnology Reliability engineering mixed logic dynamics energy storage systems Electric power lcsh:TA213-215 0210 nano-technology business |
Zdroj: | Inventions Volume 4 Issue 4 Inventions, Vol 4, Iss 4, p 57 (2019) |
Popis: | 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. |
Databáze: | OpenAIRE |
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