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Fuzzy-PI Based Sliding Mode Control to Management of Hybrid Energy System Grid Connected


Affiliations
1 LAADI Laboratory, Faculty of Science and Technology, University of Djelfa, Algeria
2 Energy Engineering and Computer Engineering (L2GEGI) Laboratory, University of Tiaret, BP P 78 Zaâroura, 14000, Tiaret, Algeria
3 Centre de Développement des Energies Renouvelables, Algiers, Algeria
 

This paper presents an optimized advanced control technique for a grid-connected hybrid energy system (HES) based on a solid oxide fuel cell (SOFC) and a photovoltaic panel (PV) in a distributed power generation system. A classical full sliding mode control and a Fuzzy-PI sliding mode are proposed for a system operation and power management mode (UPC mode). The latter technique which is based on a combination of a classical controller and fuzzy artificial intelligence system is utilized at power and current adjustment stage. The fuzzy system gave the optimal gain values to the PI controller to get a better performance. The obtained results show that the optimized sliding mode control (Fuzzy-PI) is better than the classical sliding one in terms of power, response time, and robustness against disturbances in production and consumption energy.

Keywords

Hybrid Energetic Systems, Solid Oxide Fuel Cell (SOFC), Photovoltaic Panel (PV), Sliding Mode Control, Fuzzy-PI Control, Electrical Grid.
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  • Fuzzy-PI Based Sliding Mode Control to Management of Hybrid Energy System Grid Connected

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Authors

M. Boukhalfa
LAADI Laboratory, Faculty of Science and Technology, University of Djelfa, Algeria
A. Benaissa
LAADI Laboratory, Faculty of Science and Technology, University of Djelfa, Algeria
A. A. Bengharbi
Energy Engineering and Computer Engineering (L2GEGI) Laboratory, University of Tiaret, BP P 78 Zaâroura, 14000, Tiaret, Algeria
M. R. Bengourina
Centre de Développement des Energies Renouvelables, Algiers, Algeria
A. Khoudiri
LAADI Laboratory, Faculty of Science and Technology, University of Djelfa, Algeria

Abstract


This paper presents an optimized advanced control technique for a grid-connected hybrid energy system (HES) based on a solid oxide fuel cell (SOFC) and a photovoltaic panel (PV) in a distributed power generation system. A classical full sliding mode control and a Fuzzy-PI sliding mode are proposed for a system operation and power management mode (UPC mode). The latter technique which is based on a combination of a classical controller and fuzzy artificial intelligence system is utilized at power and current adjustment stage. The fuzzy system gave the optimal gain values to the PI controller to get a better performance. The obtained results show that the optimized sliding mode control (Fuzzy-PI) is better than the classical sliding one in terms of power, response time, and robustness against disturbances in production and consumption energy.

Keywords


Hybrid Energetic Systems, Solid Oxide Fuel Cell (SOFC), Photovoltaic Panel (PV), Sliding Mode Control, Fuzzy-PI Control, Electrical Grid.

References