Performance Evaluation of Photo Voltaic System with Quadratic Boost Converter Employing with MPPT Control Algorithms

This article explores the performance of the photovoltaic (PV) system with a quadratic boost converter (QBC) employing different MPPT control algorithms. The extraction of maximum power from high penetrating renewable energy sources (RES) and to step up the low voltage renewables into the desired voltage level with minimal power semiconductor switches are the foremost targets in the present renewable energy systems. Plenty of MPPT control techniques and power converter are available in the present research era. In this paper, the quadratic boost converter is premeditated for the analysis of the PV system with real-time data in the southern region of 13 0 39 1 29.3 11 N 79 0 29 1 09.3 11 E. The efficacy of MPPT techniques in a 400 W PV system is evaluated by considering the P&O and ANFIS based MPPT controllers and the obtained results show the ANFIS based MPPT controller gives the best and stable output compared to the conventional P&O algorithm with real-time data in MATLAB/ Simulink environment.

[1]  K. Kumar,et al.  Design and Analysis of RBFN-Based Single MPPT Controller for Hybrid Solar and Wind Energy System , 2017, IEEE Access.

[2]  S. Sengar,et al.  Maximum Power Point Tracking Algorithms for Photovoltaic System : A Review , 2014 .

[3]  Zengshi Chen PI and Sliding Mode Control of a Cuk Converter , 2012, IEEE Transactions on Power Electronics.

[4]  Daniel Hissel,et al.  A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles , 2019, Renewable Energy.

[5]  Ali M. Eltamaly,et al.  A novel evaluation index for the photovoltaic maximum power point tracker techniques , 2018, Solar Energy.

[6]  Ramji Tiwari,et al.  Analysis of MISO Super Lift Negative Output Luo Converter with MPPT for DC Grid Connected Hybrid PV/Wind System , 2018 .

[7]  T. Balamurugan,et al.  Fuzzy Controller Design using Soft Switching Boost Converter for MPPT in Hybrid System , 2012 .

[8]  Ahmed Abbou,et al.  Grid-Connected PV Using Sliding Mode Based on Incremental Conductance MPPT and VSC , 2019, 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).

[9]  Padmanaban Sanjeevikumar,et al.  A Novel Six-Switch Power Converter for Single-Phase Wind Energy System Applications , 2018 .

[10]  Naci Genc,et al.  Dynamic Behavior Analysis of ANFIS Based MPPT Controller for Standalone Photovoltaic Systems , 2020, International Journal of Renewable Energy Research.

[11]  Kasun C Wijesinghe,et al.  Optimized Integration of Solar PV Energy on to Telecom Power Systems for DC and A/C buses or Energy Storages with proposed Converters to make them as profit centers , 2019, 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).

[12]  Fujio Kurokawa,et al.  Performance Mechanism of Active Clamp Resonant SEPIC Converter in Renewable Energy Systems , 2019, 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).

[13]  F. Blaabjerg,et al.  Power Electronic Converter Configurations Integration with Hybrid Energy Sources – A Comprehensive Review for State-of the-Art in Research , 2019, Electric Power Components and Systems.

[14]  Gurkan Soykan,et al.  Performance Analysis of DC Grid Connected PV System Under Irradiation and Temperature Variations , 2019, 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).

[15]  Ambrish Chandra,et al.  Real‐time experimental implementation of an LMS‐adaline‐based ANFIS controller to drive PV interfacing power system , 2019, IET Renewable Power Generation.

[16]  K Kumar,et al.  Design and Analysis of Modified Single P&O MPPT Control Algorithm for a Standalone Hybrid Solar and Wind Energy Conversion System , 2017 .

[17]  K. R. Prabhu,et al.  Design and Analysis of an Integrated Cuk-SEPIC Converter with MPPT for Standalone Wind/PV Hybrid System , 2017 .

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

[19]  Madan Mohan Tripathi,et al.  A novel GA-ANFIS hybrid model for short-term solar PV power forecasting in Indian electricity market , 2019, Journal of Information and Optimization Sciences.

[20]  Saad A. Mohamed Abdelwahab,et al.  Comparative Analysis of the Modified Perturb & Observe with Different MPPT Techniques for PV Grid Connected Systems , 2020, International Journal of Renewable Energy Research.

[21]  Fujio Kurokawa,et al.  Variable Feedback Gain DC-DC Converer Tracing Output Voltage Fluctuation for Renewable Energy System , 2019, 2019 8th International Conference on Renewable Energy Research and Applications (ICRERA).

[22]  Gerard Champenois,et al.  Performance analysis of transformless single switch quadratic boost converter for grid connected photovoltaic systems , 2010, The XIX International Conference on Electrical Machines - ICEM 2010.

[23]  Ramji Tiwari,et al.  Fuzzy Logic Based MPPT for Permanent Magnet Synchronous Generator in wind Energy Conversion System , 2016 .

[24]  S. L. Shimi,et al.  Modeling of solar PV module and maximum power point tracking using ANFIS , 2014 .

[25]  Necmi Altin,et al.  Fuzzy logic based MPPT controller for high conversion ratio quadratic boost converter , 2017 .

[26]  Almoataz Y. Abdelaziz,et al.  Power Extraction from PV Module Using Hybrid ANFIS Controller , 2019, Power Systems.