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Research and Experimental Implementation of a CV-FOINC Algorithm Using MPPT for PV Power System
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 Title & Authors
Research and Experimental Implementation of a CV-FOINC Algorithm Using MPPT for PV Power System
Arulmurugan, R.; Venkatesan, T.;
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This research suggests maximum power point tracking (MPPT) for the solar photovoltaic (PV) power scheme using a new constant voltage (CV) fractional order incremental conductance (FOINC) algorithm. The PV panel has low transformation efficiency and power output of PV panel depends on the change in weather conditions. Possible extracting power can be raised to a battery load utilizing a MPPT algorithm. Among all the MPPT strategies, the incremental conductance (INC) algorithm is mostly employed due to easy implementation, less fluctuations and faster tracking, which is not only has the merits of INC, fractional order can deliver a dynamic mathematical modelling to define non-linear physiognomies. CV-FOINC variation as dynamic variable is exploited to regulate the PV power toward the peak operating point. For a lesser scale photovoltaic conversion scheme, the suggested technique is validated by simulation with dissimilar operating conditions. Contributions are made in numerous aspects of the entire system, including new control algorithm design, system simulation, converter design, programming into simulation environment and experimental setup. The results confirm that the small tracking period and practicality in tracking of photovoltaic array.
Constant voltage;Fraction order incremental conductance;Maximum power point tracking;Photovoltaic power system and fractional order differentiator;
 Cited by
R. Arulmurugan and N. Suthanthiravanitha, “Improved Fractional Order VSS Inc-Cond MPPT algorithm for Photovoltaic Scheme”, International Journal of Photoenergy, vol.2014, Article ID 128327, 10 pages, 2014. DOI:10.1155/2014/128327. crossref(new window)

Azadeh safari and saad mekhilef, “simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter”, IEEE transactions on industrial electronics, vol. 58, no. 4, pp. 1154-1161, 2011 crossref(new window)

R. Arulmurugan and N. Suthanthiravanitha, “Performance Calculation of Electrical Energy Output and Power Conversion Efficiency of Standalone PV System”, Australian Journal of Basic and Applied Sciences, vol. 8, issue 7, pp. 149-159, 2014.

Ahmed M. Kassem, “MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks”, Electrical Power and Energy Systems 43, pp. 90-98, 2012. crossref(new window)

Kashif Ishaque, Zainal Salam, Amir Shamsudin, Muhammad Amjad, “A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm”, Applied Energy 99, pp. 414-422, 2012. crossref(new window)

A.D. Karlis, T.L. Kottas, Y.S. Boutalis, “A novel maximum power point tracking method for PV systems using fuzzy cognitive networks (FCN)”, Electric Power Systems Research 77, pp. 315-327, 2007. crossref(new window)

Hamed Mashinchi Mahery, Ebrahim Babaei, “Mathematical modeling of buck-boost dc-dc converter and investigation of converter elements on transient and steady state responses”, Electrical Power and Energy Systems 44, pp. 949-963, 2013. crossref(new window)

Chia-Hung Lin, Cong-Hui Huang b, Yi-Chun Duc, Jian-Liung Chen, “Maximum photovoltaic power tracking for the PV array using the fractional-order incremental conductance method”, Applied Energy 88, pp. 4840-4847, 2011. crossref(new window)

Yu-Chi Wua, Meng-Jen Chen, Sih-Hao Huang, Ming-Tsung Tsai, Chia-Huang Li, “Maximum power point tracking on stand-alone solar power system: Three-point-weighting method incorporating mid-point tracking”, Electrical Power and Energy Systems 52, pp. 14-24, 2013. crossref(new window)

Lijun Qin, Xiao Lu, “Matlab / Simulink-Based Research on Maximum Power Point Tracking of Photo-voltaic Generation”, 2012 International Conference on Applied Physics and Industrial Engineering, Physics procedia 24, pp.10-18, 2012.

A. Mellit, H. Rezzouk, Messai,Medjahed, “FPGA-based real time implementation of MPPT-controller for photovoltaic systems”, Renewable Energy 36, pp. 1652-1661, 2011. crossref(new window)

Jensak Eakburanawat, Itsda Boonyaroonate, “Development of a thermoelectric battery-charger with microcontroller-based maximum power point tracking technique”, Applied Energy 83, pp. 687-704, 2006. crossref(new window)

Abd Kadir Mahammad, Sharifah Saon and Wong Swee Chee, “Development of Optimum Controller based on MPPT for Photovoltaic System during Shading Condition”, Malaysian Technical Universities Conference on Engineering & Technology 2012, MUCET 2012 Part 3-Civil and Chemical Engineering, Procedia Engineering 53, pp. 337-346, 2013.

Podlubny Igor., “Fractional differential equations. Mathematics in science and engineering”, New York: Academic Press; vol. 198, 1999.

Ma Chengbin, Hori Yoichi. “Fractional-order control: theory and applications in motion control”, IEEE Ind Electron Mag, pp. 6-16, 2007(Winter).

R. Arulmurugan and Dr. N. Suthanthiravanitha, “Model and design of fuzzy-based Hopfield NN tracking controller for standalone PV applications”, Electric Power Systems Research, 120, pp. 184-193, 2015. crossref(new window)

Ahmad Al Nabulsi and Rached Dhaouadi, “Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control”, IEEE Transactions on Industrial informatics, vol. 8, no. 3, pp. 573-584, 2012. crossref(new window)

Subiyanto Subiyanto, Azah Mohamed, M.A. Hannan, “Intelligent maximum power point tracking for PV system using Hopfield neural network optimized fuzzy logic controller”, Energy and Buildings 51, pp. 29-38, 2012. crossref(new window)

Nopporn Patcharaprakiti, Suttichai Premrudee-preechacharn, Yosanai Sriuthaisiriwong, “Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system”, Renewable Energy 30, pp. 1771-1788, 2005. crossref(new window)

T. Tafticht, K. Agbossou, M.L. Doumbia, A. Cheriti, “An improved maximum power point tracking method for photovoltaic systems”, Renewable Energy 33, pp. 1508-1516, 2008. crossref(new window)

Ali Akbar Ghassami, Seyed Mohammad Sadeghzadeh, Asma Soleimani, “A high performance maximum power point tracker for PV systems”, Electrical Power and Energy Systems 53, pp. 237-243, 2013. crossref(new window)