A Proposal for an MPPT Algorithm Based on the Fluctuations of the PV Output Power, Output Voltage, and Control Duty Cycle for Improving the Performance of PV Systems in Microgrid

In microgrids, distributed generators that cannot be dispatched, such as a photovoltaic system, need to control their output power at the maximum power point. The fluctuation of their output power should be minimized with the support of the maximum power point tracking algorithm under the variation of ambient conditions. In this paper, a new maximum power point tracking method based on the parameters of power deviation ( Δ P P V ), voltage difference ( Δ V P V ), and duty cycle change ( Δ D ) is proposed for photovoltaic systems. The presented algorithm achieves the following good results: (i) when the solar radiance is fixed, the output power is stable around the maximum power point; (ii) when the solar radiance is rapidly changing, the generated power is always in the vicinity of maximum power points; (iii) the effectiveness of energy conversion is comparable to that of intelligent algorithms. The proposed algorithm is presented and compared with traditional and intelligent maximum power point tracking algorithms on the simulation model by MATLAB/Simulink under different radiation scenarios to prove the effectiveness of the proposed method.

[1]  Luigi Piegari,et al.  Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking , 2010 .

[2]  Suresh Gurjar,et al.  A Novel Simplified Two-Diode Model of Photovoltaic (PV) Module , 2014, IEEE Journal of Photovoltaics.

[3]  M. F. Almi,et al.  An intelligent MPPT approach based on neural-network voltage estimator and fuzzy controller, applied to a stand-alone PV system , 2014, 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE).

[4]  Tingting Pei,et al.  A Novel Global Maximum Power Point Tracking Strategy Based on Modified Flower Pollination Algorithm for Photovoltaic Systems under Non-Uniform Irradiation and Temperature Conditions , 2018, Energies.

[5]  Hocine Belmili,et al.  A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems , 2015 .

[6]  Moin Hanif,et al.  Comparative Analysis of Different Single-Diode PV Modeling Methods , 2015, IEEE Journal of Photovoltaics.

[7]  S. K. Kollimalla,et al.  A Novel Adaptive P&O MPPT Algorithm Considering Sudden Changes in the Irradiance , 2014, IEEE Transactions on Energy Conversion.

[8]  Minh Quan Duong,et al.  Propose a MPPT Algorithm Based on Thevenin Equivalent Circuit for Improving Photovoltaic System Operation , 2020, Frontiers in Energy Research.

[9]  Hyosung Kim,et al.  PV cell modeling on single-diode equivalent circuit , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[10]  Triwahju Hardianto,et al.  Comparison of MPPT Fuzzy Logic Controller Based on Perturb and Observe (P&O) and Incremental Conductance (InC) Algorithm On Buck-Boost Converter , 2018, 2018 2nd International Conference on Electrical Engineering and Informatics (ICon EEI).

[11]  A. Sellami,et al.  Identification of PV solar cells and modules parameters using the genetic algorithms: Application to maximum power extraction , 2010 .

[12]  Amelia Binti Abdul Razak,et al.  Investigation of the Effect Temperature on Photovoltaic (PV) Panel Output Performance , 2016 .

[13]  Nor Zaihar Yahaya,et al.  Single-diode model and two-diode model of PV modules: A comparison , 2013, 2013 IEEE International Conference on Control System, Computing and Engineering.

[14]  Efstratios I. Batzelis,et al.  Direct MPP Calculation in Terms of the Single-Diode PV Model Parameters , 2015, IEEE Transactions on Energy Conversion.

[15]  Chih-Chiang Hua,et al.  Study of maximum power tracking techniques and control of DC/DC converters for photovoltaic power system , 1998, PESC 98 Record. 29th Annual IEEE Power Electronics Specialists Conference (Cat. No.98CH36196).

[16]  Hitesh K. Mehta,et al.  Accurate Expressions for Single-Diode-Model Solar Cell Parameterization , 2019, IEEE Journal of Photovoltaics.

[17]  C. Larbes,et al.  Study of the Intelligent Behavior of a Maximum Photovoltaic Energy Tracking Fuzzy Controller , 2018 .

[18]  Kay Soon Low,et al.  Optimizing Photovoltaic Model for Different Cell Technologies Using a Generalized Multidimension Diode Model , 2015, IEEE Transactions on Industrial Electronics.

[19]  Soteris A. Kalogirou,et al.  Intelligent maximum power point trackers for photovoltaic applications using FPGA chip: A comparative study , 2014 .

[20]  Fernando L. M. Antunes,et al.  A maximum power point tracker for PV systems using a high performance boost converter , 2006 .

[21]  Bidyadhar Subudhi,et al.  A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems , 2013, IEEE Transactions on Sustainable Energy.

[22]  Chee Wei Tan,et al.  An Improved Maximum Power Point Tracking Algorithm with Current-Mode Control for Photovoltaic Applications , 2005, 2005 International Conference on Power Electronics and Drives Systems.

[23]  Jaw-Kuen Shiau,et al.  A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables , 2015, Algorithms.

[24]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[25]  S Ahmed,et al.  High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids , 2011, IEEE Transactions on Power Electronics.

[26]  M. Liserre,et al.  Future Energy Systems: Integrating Renewable Energy Sources into the Smart Power Grid Through Industrial Electronics , 2010, IEEE Industrial Electronics Magazine.

[27]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[28]  Rashad M. Kamel,et al.  Microgrid efficiency enhancement based on neuro-fuzzy MPPT control for Photovoltaic generator , 2010, 2010 35th IEEE Photovoltaic Specialists Conference.

[29]  A. Kuperman,et al.  Thevenin-based approach to PV arrays maximum power prediction , 2010, 2010 IEEE 26-th Convention of Electrical and Electronics Engineers in Israel.

[30]  S. Premrudeepreechacharn,et al.  Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[31]  M. E. Ropp,et al.  Comparative study of maximum power point tracking algorithms , 2003 .

[32]  K. S. Sandhu,et al.  Multi diode modelling of PV cell , 2014, 2014 IEEE 6th India International Conference on Power Electronics (IICPE).