Soft Computing Based MPPT Controller for Solar Powered Battery Charger Under Partial Shading Conditions

Solar irradiations received by the PV panel is blocked by a moving or non-moving object is known as partial shading condition. The solar panel power output under partial shaded will be a maximum only if the panel voltage is maintained at the Global Maximum Power Point. The GMPP can be determined from the Power-Voltage characteristics of the partially shaded solar panel and this voltage is called optimum voltage. The battery charging may require a voltage different from the optimum voltage. Therefore, a GMPPT Global Maximum Power Point Tracking CUK converter is employed that maintains partially shaded solar panel voltage at optimum value and buck or boost the solar panel voltage to a value required for battery charging. The objective of this work is to develop solar based battery charger using CUK converter with Maximum Power Point Tracking under partial shaded condition by Grey Wolf optimization algorithm The simulation of the partially shaded solar panel fed CUK converter for battery charging applications is performed in MATLAB - SIMULINK. The CUK converter in the battery charging system is basically a buck-boost converter that employs a single power switch. Duty cycle of gate pulse to power switch decides the power drawn from partially shaded solar panel. Therefore, the duty cycle is determined for GMPPT using Grey Wolf optimization algorithm which can track the GMPP very fast for fast changing irradiances. The simulation is performed for charging 5.8 AH, 48 V Lithium- Ion batteries.

[1]  V Vanitha,et al.  Solar Powered Battery Charging System with Maximum Power Point Tracking , 2018, 2018 4th International Conference on Electrical Energy Systems (ICEES).

[2]  Jianjun Jiao,et al.  A modified augmented Lagrangian with improved grey wolf optimization to constrained optimization problems , 2017, Neural Computing and Applications.

[3]  Dong-Seok Hyun,et al.  An improved MPPT converter with current compensation method for small scaled PV-applications , 2002, IEEE 2002 28th Annual Conference of the Industrial Electronics Society. IECON 02.

[4]  M. H. Sulaiman,et al.  Grey Wolf Optimizer for solving economic dispatch problems , 2014, 2014 IEEE International Conference on Power and Energy (PECon).

[5]  Benouareth Issam,et al.  Design of gray wolf optimizer for improving photovoltaic — Hydrogen hybrid system , 2017, 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B).

[6]  Ahmed M. Massoud,et al.  A Switched PV Approach for Extracted Maximum Power Enhancement of PV Arrays During Partial Shading , 2015, IEEE Transactions on Sustainable Energy.

[7]  Kok Soon Tey,et al.  Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation , 2014, IEEE Transactions on Industrial Electronics.

[8]  Anis Sakly,et al.  A novel MPPT method for photovoltaic application under partial shaded conditions , 2018 .

[9]  Chih-Lung Shen,et al.  A double-linear approximation algorithm to achieve maximum-power-point tracking for PV arrays , 2009, 2009 International Conference on Power Electronics and Drive Systems (PEDS).

[10]  Jiann-Fuh Chen,et al.  Control Techniques for Power Converters with Integrated Circuit , 2017 .

[11]  Bidyadhar Subudhi,et al.  A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions , 2016, IEEE Transactions on Sustainable Energy.

[12]  A. Emadi,et al.  High performance bidirectional Cuk converter for telecommunication systems , 2004, INTELEC 2004. 26th Annual International Telecommunications Energy Conference.

[13]  Kanungo Barada Mohanty,et al.  A review on MPPT techniques of PV system under partial shading condition , 2017 .

[14]  K. B. Mohanty,et al.  Comparative study on single diode photovoltaic module parameter extraction methods , 2013, 2013 International Conference on Power, Energy and Control (ICPEC).