A novel Fast Alterable Duty (FAD) MPPT procedure for Solar PV Hybrid Vehicles

Solar PV powered Hybrid vehicles need a maximum power point tracking (MPPT) scheme which should have a capability of extremely fast tracking performance required during fast varying atmospheric conditions and shading due to the presence of trees, buildings on road sides. This paper presents a new maximum power point tracking technique for PV system with extremely fast convergence speed and restricted searching area. This will increase the tracking efficiency and overall performance of the PV based system. Assessment and comparison of the proposed MPPT algorithm are done with Perturb and Observe (P&O) method. A 250 Watt PV system was simulated and analysed. Finally, the practical results were obtained using the hardware set up made for 250 Watt PV Panel and Arduino microcontroller development board. The results show that the proposed Fast Alterable Duty (FAD) MPP Tracking technique is substantially better than P&O. The attractiveness of this scheme is the limit imposed on the range of voltage, this range of voltage is where the operating points try to remain even if the atmospheric conditions change at a fast rate. This range of voltage keeps on updating according to the real time values of panel temperature and Irradiance. Enhancement in speed is observed because of this limit imposed on voltage range and also because of the novel variable duty step size (Duty of DC-DC converter used) proposed in this article. This new maximum power point tracking technique will result in extremely fast tracking with increased efficiency.

[1]  Afshan Ilyas,et al.  Realisation of incremental conductance the MPPT algorithm for a solar photovoltaic system , 2018 .

[2]  Preetham Goli,et al.  PV powered smart charging station for PHEVs , 2014 .

[3]  Abhinandan Jain,et al.  A novel fast and accurate temperature tolerant PV Maximum Power Point tracking system , 2016, 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES).

[4]  Abu Tariq,et al.  Simulation and study of a grid connected multilevel converter (MLC) with varying DC input , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[5]  Abhinandan Jain,et al.  Hardware Implementation of Perturb and Observe Maximum Power Point Tracking Algorithm for Solar Photovoltaic System , 2018, Transactions on Electrical and Electronic Materials.

[6]  Abhinandan Jain,et al.  A novel fast mutable duty (FMD) MPPT technique for solar PV system with reduced searching area , 2016 .

[7]  Abu Tariq,et al.  Transient analysis and selection of perturbation parameters for PV-MPPT implementation , 2020 .

[8]  Abu Tariq,et al.  A novel solar PV MPPT scheme utilizing the difference between panel and atmospheric temperature , 2017 .

[9]  Abhinandan Jain,et al.  Aspects Involved in the Modeling of PV System, Comparison of MPPT Schemes, and Study of Different Ambient Conditions Using P&O Method , 2018 .

[10]  I.H. Altas,et al.  A Photovoltaic Array Simulation Model for Matlab-Simulink GUI Environment , 2007, 2007 International Conference on Clean Electrical Power.

[11]  Fan Zhang,et al.  Adaptive Hybrid Maximum Power Point Tracking Method for a Photovoltaic System , 2013, IEEE Transactions on Energy Conversion.

[12]  M. Saad Bin Arif,et al.  Comparative assessment of maximum power point tracking procedures for photovoltaic systems , 2017 .

[13]  Tey Kok Soon,et al.  A Fast-Converging MPPT Technique for Photovoltaic System Under Fast-Varying Solar Irradiation and Load Resistance , 2015, IEEE Transactions on Industrial Informatics.

[14]  Dunbar P. Birnie,et al.  Analysis of energy capture by vehicle solar roofs in conjunction with workplace plug-in charging , 2016 .

[15]  Bidyadhar Subudhi,et al.  A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems , 2013, IEEE Transactions on Sustainable Energy.