Neural network based MPPT control with reconfigured quadratic boost converter for fuel cell application

Abstract An artificial neural network (ANN) based maximum power point tracking (MPPT) technique for proton exchange membrane fuel cell (PEMFC) is analysed and proposed in this paper. The proposed ANN technique employs Radial basis function network (RBFN) based MPPT strategy to extract the maximum available power from fuel cell in different operating condition. In order to achieve high voltage rating, a novel high step up DC/DC converter is incorporated in the proposed configuration. To validate the performance of the proposed configuration, the result is compared with different DC/DC converter and MPPT control strategy. The proposed system is simulated in MATLAB/Simulink platform to analyse the performance of the system.

[1]  Lini Mathew,et al.  Fuzzy logic controller-based MPPT for hybrid photo-voltaic/wind/fuel cell power system , 2019, Neural Computing and Applications.

[2]  Ausias Garrigos,et al.  Interleaved, switched-inductor, multi-phase, multi-device DC/DC boost converter for non-isolated and high conversion ratio fuel cell applications , 2019, International Journal of Hydrogen Energy.

[3]  Pierluigi Siano,et al.  Coordinated DTC and VOC control for PMSG based grid connected wind energy conversion system , 2017, 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[4]  A. Azad,et al.  Achievements and trends of solid oxide fuel cells in clean energy field: a perspective review , 2020 .

[5]  Abdelghani Harrag,et al.  How fuzzy logic can improve PEM fuel cell MPPT performances , 2018 .

[6]  Sanjeevikumar Padmanaban,et al.  Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System , 2018 .

[7]  Julio C. Rosas-Caro,et al.  Continuous input-current buck-boost DC-DC converter for PEM fuel cell applications , 2017 .

[8]  Werner Lehnert,et al.  Interactions between a polymer electrolyte membrane fuel cell and boost converter utilizing a multiscale model , 2018, Journal of Power Sources.

[9]  Djamila Rekioua,et al.  MPPT controller for an interleaved boost dc–dc converter used in fuel cell electric vehicles , 2014 .

[10]  Ramji Tiwari,et al.  Recent developments of control strategies for wind energy conversion system , 2016 .

[11]  Changliang Xia,et al.  DC–DC Boost Converter With a Wide Input Range and High Voltage Gain for Fuel Cell Vehicles , 2019, IEEE Transactions on Power Electronics.

[12]  N. Sudhakar,et al.  High Voltage Gain Interleaved Boost Converter With Neural Network Based MPPT Controller for Fuel Cell Based Electric Vehicle Applications , 2018, IEEE Access.

[13]  P. A. Daly,et al.  Understanding the potential benefits of distributed generation on power delivery systems , 2001, 2001 Rural Electric Power Conference. Papers Presented at the 45th Annual Conference (Cat. No.01CH37214).

[14]  Priya Ranjan Satpathy,et al.  Power and mismatch losses mitigation by a fixed electrical reconfiguration technique for partially shaded photovoltaic arrays , 2019, Energy Conversion and Management.

[15]  Damien Guilbert,et al.  Investigation of the interactions between proton exchange membrane fuel cell and interleaved DC/DC boost converter in case of power switch faults , 2015 .

[16]  Qi Li,et al.  Two-level energy management strategy for PV-Fuel cell-battery-based DC microgrid , 2019, International Journal of Hydrogen Energy.

[17]  Kyung-Soo Kim,et al.  Proportional-Type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer , 2019 .

[18]  P. Ajay D. Vimal Raj,et al.  Energy storage based MG connected system for optimal management of energy: An ANFMDA technique , 2019, International Journal of Hydrogen Energy.

[19]  J. Irvine,et al.  Novel layered perovskite SmBaMn2O5+δ for SOFCs anode material , 2017 .

[20]  Akshay Kumar Rathore,et al.  Isolated Soft Switching Current Fed LCC-T Resonant DC–DC Converter for PV/Fuel Cell Applications , 2019, IEEE Transactions on Industrial Electronics.

[21]  Ramji Tiwari,et al.  Artificial neural network-based control strategies for PMSG-based grid connected wind energy conversion system , 2019 .

[22]  Armando Cordeiro,et al.  High Step-Up DC–DC Converter for Fuel Cell Vehicles Based on Merged Quadratic Boost–Ćuk , 2019, IEEE Transactions on Vehicular Technology.

[23]  Abdalla M. Abdalla,et al.  A review on proton conducting electrolytes for clean energy and intermediate temperature-solid oxide fuel cells , 2017 .

[24]  N. Sudhakar,et al.  A new RBFN based MPPT controller for grid-connected PEMFC system with high step-up three-phase IBC , 2018, International Journal of Hydrogen Energy.

[25]  Ashok Bhupathi Kumar Mukkapati,et al.  Genetic algorithm assisted fixed frequency sliding mode controller for quadratic boost converter in fuel cell vehicle , 2020 .

[26]  M. Marchesoni,et al.  New DC–DC Converter for Energy Storage System Interfacing in Fuel Cell Hybrid Electric Vehicles , 2007, IEEE Transactions on Power Electronics.

[27]  Feroza Begum,et al.  Nanomaterials for solid oxide fuel cells: A review , 2018 .

[28]  Faqiang Wang,et al.  A novel quadratic Boost converter with low current and voltage stress on power switch for fuel-cell system applications , 2018 .

[29]  M. Anwar,et al.  Ce0.80Sm0.10Ba0.05Er0.05O2-δ multi-doped ceria electrolyte for intermediate temperature solid oxide fuel cells , 2017 .

[30]  S. Saha.  Efficient soft-switched boost converter for fuel cell applications , 2011 .