A Novel and Efficient INC Based MPPT for PV System
Keywords:Photo Voltaic (PV), Maximum Power Point Tracker (MPPT), Incremental Conduction (INC), THD, PWM, MATLAB/Simulink,
This paper discuss the Incremental Conduction based MPPT for tracking the solar power. Due to increment of power demand here to find the new type of generation system. The concept of Renewable Energy Source (RES) is now become a most popular for generation of power. There are basically three types of RES is used for generation process, Wind, PV, fuel cell. Solar system is one of the best RES technique for generation of electrical power but it have some drawback. It is only used in the daytime and has low efficiency. For improving the efficiency of the system here maximum power tracking is needed. Here Incremental Conduction based MPPT for tracking the solar power is used. The whole model is simulated in MATLAB /SIMULINK for checking the performance of the system and is applicable to different type of domestic loads. The THD of the system is calculated.
Trishan Esram and Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,” IEEE Transactions on Energy Conversion, Vol. 22, No. 2, June 2007.
Hung-I Hsieh, Jen-Hao Hsieh, et al., “A Study of High-Frequency Photovoltaic Pulse Charger for Lead-Acid Battery Guided by PI-INC MPPT”.
K.H. Hussein, I. Muta, T. Hoshino and M. Osakada, “Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions,” IEEE Explore.-Generation, Transmission and Distribution, Vol. 142, No. 1, Jan. 1955.
C. Thulasiyammal and S Sutha, “An Efficient Method of MPPT Tracking System of a Solar Powered Uninterruptible Power Supply Application,” 1st International Conference on Electrical Energy Systems, 2011.
Noppadol Khaehintung and Phaophak Sirisuk, “Application of Maximum Power Point Tracker with Self-organizing Fuzzy Logic Controller for Solar powered Traffic Lights,” IEEE, 2007.
C. S. Chin, P. Neelakantan, et al., “Fuzzy Logic Based MPPT for Photovoltaic Modules Influenced by Solar Irradiation and Cell Temperature,” UKSim 13th International Conference on Modelling and Simulation, 2011.
Panom Petchjatuporn, Phaophak Sirisuk, et al., “A Solar-powered Battery Charger with Neural Network Maximum Power Point Tracking Implemented on a Low-Cost PIC-microcontroller”.
S. Yuvarajan and JulineShoeb, “A Fast and Accurate Maximum Power Point Tracker for PV Systems,” IEEE, 2008.
Prof. Dr. IlhamiColak, Dr. ErsanKabalci and Prof. Dr. GungorBal, “Parallel DCAC Conversion System Based on Separate Solar Farms with MPPT Control,” 8th International Conference on Power Electronics - ECCE Asia, The ShillaJeju, Korea, May 30-June 3, 2011.
S. G. Tesfahunegn, O. Ulleberg, et al., “A simplified battery charge controller for safety and increased utilization in standalone PV applications,” IEEE, 2011.
Yuncong Jiang, Ahmed Hassan, EmadAbdelkarem and Mohamed Orabi, “Load Current Based Analog MPPT Controller for PV Solar Systems,” IEEE, 2012.
ArashShafiei, AhmadrezaMomeni and Sheldon S. Williamson, “A Novel Photovoltaic Maximum Power Point Tracker for Battery Charging Applications,” IEEE, 2012.
Ali F Murtaza, Hadeed Ahmed Sher, et al., “A Novel Hybrid MPPT Technique for Solar PV Applications Using Perturb & Observe and Fractional Open Circuit Voltage Techniques”.
Weidong Xiao, Nathan Ozog and William G. Dunford, “Topology Study of Photovoltaic Interface for Maximum Power Point Tracking,”IEEE Transactions on Industrial Electronics, Vol. 54, No. 3, June 2007.
Jun Pan, Chenghua Wang and Feng Hong, “Research of Photovoltaic Charging System with Maximum Power Point Tracking,” The Ninth International Conference on Electronic Measurement & Instruments ICEMI, 2009.
Sandeep Anand, Rajesh Singh Farswan, et al., “Optimal Charging of Battery Using Solar PV in Standalone DC System”.
Mohamed Azab, “A New Maximum Power Point Tracking for Photovoltaic Systems,” International Journal of Electrical and Electronics Engineering 3:11, 2009.
Ashish Pandey, NiveditaDasgupta and Ashok Kumar Mukerjee, “HighPerformance Algorithms for Drift Avoidance and Fast Tracking in Solar MPPT System,” IEEE Transactions on Energy Conversion, Vol. 23, No. 2, June 2008.
Ahmed K. Abdelsalam, Ahmed M. Massoud, Shehab Ahmed, and Prasad N. Enjeti,, “High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids”, IEEE transactions on power electronics, vol. 26, no. 4, april 2011.
Yuncong Jiang, Jaber A. Abu Qahouq, and Tim A. Haskew, “Adaptive Step Size With Adaptive-Perturbation Frequency Digital MPPT Controller for a Single-Sensor Photovoltaic Solar System”, IEEE transactions on power electronics, vol. 28, no. 7, july 2013
Venketa Reddy Kota and Muralidhar Nayak Bhukya, “A Simple and Efficient MPPT Scheme for PV Module Using 2-Dimensional Lookup Table” IEEE transaction of Poweer System 2016.
Venkata Reddy Kota, Muralidhar Nayak Bhukya, “A novel linear tangents based P & O scheme for MPPT of a PV system”, Renewable and Sustainable Energy Reviews, ELSEVIER 2017.
How to Cite
Copyright (c) 2021 Santosh Kumar, A. K. Wadhwani, Bharat Mishra
This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.