A Hybrid Photovoltaic-Fuel Cell for Grid Integration With Jaya-Based Maximum Power Point Tracking: Experimental Performance Evaluation

This paper deals the grid integration of photovoltaic (PV), fuel cell, and ultra-capacitor with maximum power point tracking (MPPT). The voltage oriented control for the grid-integrated inverter is proposed to regulate dc link voltage. Here, the fuel cell is employed as the main renewable energy source and PV as an auxiliary source with ultra-capacitor, which compensates power variation. An integrated CUK converter is proposed for peak power extraction from PV modules. The Jaya-based MPPT method is employed to achieve fast PV tracking ability with zero deviation around maximum power point (MPP) and has accelerated searched performance in equated with particle swarm optimization (PSO) and artificial bee colony (ABC) techniques. The hybrid PV-fuel cell with ultra-capacitor as energy storage works effectively under varying operating conditions. Compared to other energy storing devices, ultra-capacitor provides a fast dynamic response by absorbing/delivering power fluctuations. The hybrid PV-fuel storage control methodologies are experimentally validated using dSPACE (DS1104) board that provides optimal power extraction with stable power affirmation for a standalone/grid-connected system.

[1]  Steven B. Leeb,et al.  Fuel Cell Stack Emulation for Cell and Hardware-in-the-Loop Testing , 2018, IEEE Transactions on Instrumentation and Measurement.

[2]  Sishaj P. Simon,et al.  Enhanced Energy Output From a PV System Under Partial Shaded Conditions Through Artificial Bee Colony , 2015, IEEE Transactions on Sustainable Energy.

[3]  M.S. Alam,et al.  Dynamic modeling, design, and simulation of a combined PEM fuel cell and ultracapacitor system for stand-alone residential applications , 2006, IEEE Transactions on Energy Conversion.

[4]  Josep M. Guerrero,et al.  Discrete Model-Predictive-Control-Based Maximum Power Point Tracking for PV Systems: Overview and Evaluation , 2018, IEEE Transactions on Power Electronics.

[5]  Frede Blaabjerg,et al.  A Novel Calculus Based Unipolar Double Reference Single Carrier PWM for Single Phase T-Multilevel Inverter with Under Modulation (<1) for Renewable Energy Applications: Hardware Implementation , 2018, 2018 IEEE Energy Conversion Congress and Exposition (ECCE).

[6]  Frede Blaabjerg,et al.  Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm , 2018 .

[7]  Nasrudin Abd Rahim,et al.  Fuzzy-Logic-Controller-Based SEPIC Converter for Maximum Power Point Tracking , 2014 .

[8]  Xi Xiao,et al.  A Hill-Climbing-Method-Based Maximum-Power-Point-Tracking Strategy for Direct-Drive Wave Energy Converters , 2016, IEEE Transactions on Industrial Electronics.

[9]  Bibekananda Jena,et al.  Modeling and simulation of integrated CUK converter for grid connected PV system with EPP MPPT hybridization , 2015, 2015 IEEE Power, Communication and Information Technology Conference (PCITC).

[10]  Bijaya K. Panigrahi,et al.  Rapid MPPT for Uniformly and Partial Shaded PV System by Using JayaDE Algorithm in Highly Fluctuating Atmospheric Conditions , 2017, IEEE Transactions on Industrial Informatics.

[11]  Frede Blaabjerg,et al.  Inverting Nx and 2Nx non-isolated multilevel boost converter for renewable energy applications , 2016 .

[12]  Bidyadhar Subudhi,et al.  A Grey Wolf-Assisted Perturb & Observe MPPT Algorithm for a PV System , 2017, IEEE Transactions on Energy Conversion.

[13]  Sanjeevikumar Padmanaban,et al.  DC-Transformer Modelling, Analysis and Comparison of the Experimental Investigation of a Non-Inverting and Non-Isolated Nx Multilevel Boost Converter (Nx MBC) for Low to High DC Voltage Applications , 2018, IEEE Access.

[14]  Frede Blaabjerg,et al.  A Multistage DC-DC Step-Up Self-Balanced and Magnetic Component-Free Converter for Photovoltaic Applications: Hardware Implementation , 2017 .

[15]  N. M. Singh,et al.  Optimal load balancing strategy for hybrid energy management system in DC microgrid with PV, fuel cell and battery storage , 2016, 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA).

[16]  Frede Blaabjerg,et al.  Non-isolated Sextuple Output Hybrid Triad Converter Configurations for High Step-Up Renewable Energy Applications , 2018 .

[17]  Padmanaban Sanjeevikumar,et al.  Direct vector controlled six-phase asymmetrical induction motor with power balanced space vector PWM multilevel operation , 2016 .

[18]  Bhim Singh,et al.  Self-Adaptive Incremental Conductance Algorithm for Swift and Ripple-Free Maximum Power Harvesting From PV Array , 2018, IEEE Transactions on Industrial Informatics.

[19]  Jubaer Ahmed,et al.  An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking Under Varying Environmental Conditions , 2018, IEEE Transactions on Sustainable Energy.

[20]  Kinattingal Sundareswaran,et al.  MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies , 2014, IEEE Transactions on Energy Conversion.

[21]  Adel El-Shahat,et al.  A Novel MPPT Algorithm Based on Particle Swarm Optimization for Photovoltaic Systems , 2017, IEEE Transactions on Sustainable Energy.

[22]  Sanjeevikumar Padmanaban,et al.  An Extensive Practical Investigation of FPSO-Based MPPT for Grid Integrated PV System Under Variable Operating Conditions With Anti-Islanding Protection , 2019, IEEE Systems Journal.

[23]  Henry Shu-Hung Chung,et al.  A Prediction Model-Guided Jaya Algorithm for the PV System Maximum Power Point Tracking , 2018, IEEE Transactions on Sustainable Energy.

[24]  Whei-Min Lin,et al.  Neural-Network-Based MPPT Control of a Stand-Alone Hybrid Power Generation System , 2011, IEEE Transactions on Power Electronics.

[25]  Sanjeevikumar Padmanaban,et al.  Fuzzy SVPWM-based inverter control realisation of grid integrated photovoltaic-wind system with fuzzy particle swarm optimisation maximum power point tracking algorithm for a grid-connected PV/wind power generation system: hardware implementation , 2018 .

[26]  Massimo Vitelli,et al.  Low-Frequency Current Oscillations and Maximum Power Point Tracking in Grid-Connected Fuel-Cell-Based Systems , 2010, IEEE Transactions on Industrial Electronics.

[27]  Frede Blaabjerg,et al.  An original transformer and switched-capacitor (T & SC)-based extension for DC-DC boost converter for high-voltage/low-current renewable energy applications: Hardware implementation of a new T & SC boost converter , 2018 .

[28]  Frede Blaabjerg,et al.  Transistor Clamped Five-Level Inverter using Non-Inverting Double Reference Single Carrier PWM Technique for photovoltaic applications , 2017, 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) & 2017 Intl Aegean Conference on Electrical Machines and Power Electronics (ACEMP).

[29]  Viliam Fedák,et al.  A modified high output-gain cuk converter circuit configuration for renewable applications — A comprehensive investigation , 2017, 2017 IEEE Conference on Energy Conversion (CENCON).

[30]  Ridong Zhang,et al.  GA-Based Fuzzy Energy Management System for FC/SC-Powered HEV Considering H2 Consumption and Load Variation , 2018, IEEE Transactions on Fuzzy Systems.

[31]  Vivek Agarwal,et al.  Novel solar PV-fuel cell fed dual-input-dual-output dc-dc converter for dc microgrid applications , 2015, 2015 IEEE 42nd Photovoltaic Specialist Conference (PVSC).

[32]  Constantinos Sourkounis,et al.  Flexible Dimensioning Opportunities of a (Virtual) Flux-Based Hysteresis Controller for a Reduced Switching Frequency , 2016, IEEE Transactions on Industry Applications.

[33]  Frede Blaabjerg,et al.  Dual Six-Phase Multilevel AC Drive with Single Carrier Optimized Five-Level PWM for Star-Winding Configuration , 2018 .

[34]  Frede Blaabjerg,et al.  Novel LY Converter Topologies for High Gain Transfer Ratio - A New Breed of XY Family , 2016 .

[35]  Eklas Hossain,et al.  A Novel Modified Sine-Cosine Optimized MPPT Algorithm for Grid Integrated PV System under Real Operating Conditions , 2019, IEEE Access.