Intelligent control strategy for a grid connected PV/SOFC/BESS energy generation system. (15th March 2018)

• Record Type: Journal Article
• Authors: Chettibi, N.; Mellit, A.
• Is Part Of: Energy. Volume 147(2018)
• Page Start: 239
• Page End: 262
• Publication Date: 2018-03-15
• Subjects: Photovoltaic -- Solid oxide fuel cell -- BESS -- Microgrid -- Power management -- Intelligent control; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2018.01.030
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: In this paper, an intelligent control strategy for a grid connected hybrid energy generation system consisting of Photovoltaic (PV) panels, Fuel Cell (FC) stack and Battery Energy Storage System (BESS) is proposed. Firstly, the dynamic modeling of the electrical energy resources is carried out. Then, the local controllers of DC-DC power converters are designed to regulate the operating points of the energy generation units. An online-trained Elman Neural Network (ENN) based controller is developed to perform the tracking of the optimal operating point of the PV source. Moreover, a Takagi-Sugeno-Kang based fuzzy gain tuner is adopted for the adjustment of the PI parameters of the FC and BESS controllers. Besides, the Virtual Flux Oriented Control (VFOC) scheme based on neuro-fuzzy gain tuners is adopted to control the power flow between the hybrid system, the local loads and the utility grid. Furthermore, a centralized power supervisor is established to determine the levels of the power references for the local controllers according to the supply and demand conditions. The simulation results obtained in the Matlab/Simulink environment demonstrate the efficiency of the proposed control scheme. Highlights: The control scheme of a grid connected hybrid (PV/SOFC/BESS) power system is investigated. An online-trained Elman Neural Network is adopted for the MPPT of the PV source. A modified Virtual Flux Oriented Control scheme is adopted for the control of the 3L-NPC inverter. A centralized power supervisor is designed to manage the power flow in the hybrid system. The simulation results show improved static and dynamic performance of the hybrid system under varying operating conditions.