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http://dx.doi.org/10.6113/JPE.2016.16.1.9

Photovoltaic Modified β-Parameter-based MPPT Method with Fast Tracking  

Li, Xingshuo (Dept. of Electrical and Electronic Eng., Xi'an Jiaotong-Liverpool University)
Wen, Huiqing (Dept. of Electrical and Electronic Eng., Xi'an Jiaotong-Liverpool University)
Jiang, Lin (Department of Electrical Engineering and Electronics, University of Liverpool)
Lim, Eng Gee (Dept. of Electrical and Electronic Eng., Xi'an Jiaotong-Liverpool University)
Du, Yang (Dept. of Electrical and Electronic Eng., Xi'an Jiaotong-Liverpool University)
Zhao, Chenhao (Dept. of Electrical and Electronic Eng., Xi'an Jiaotong-Liverpool University)
Publication Information
Journal of Power Electronics / v.16, no.1, 2016 , pp. 9-17 More about this Journal
Abstract
Maximum power point tracking (MPPT) is necessary for photovoltaic (PV) power system application to extract the maximum possible power under changing irradiation and temperature conditions. The β-parameter-based method has many advantages over conventional MPPT methods; such advantages include fast tracking speed in the transient stage, small oscillations in the steady state, and moderate implementation complexity. However, a problem in the implementation of the conventional beta method is the choice of an appropriate scaling factor N, which greatly affects both the steady-state and transient performance. Therefore, this paper proposes a modified β-parameter-based method, and the determination of the N is discussed in detail. The study shows that the choice of the scaling factor N is determined by the changes of the value of β during changes in irradiation or temperature. The proposed method can respond accurately and quickly during changes in irradiation or temperature. To verify the proposed method, a photovoltaic power system with MPPT function was built in Matlab/Simulink, and an experimental prototype was constructed with a solar array emulator and dSPACE. Simulation and experimental results are illustrated to show the advantages of the improved β-parameter-based method with the optimized scaling factor.
Keywords
Maximum power point tracking (MPPT); Modified Beta method; Photovoltaic (PV) energy;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 T. Esram and P.L. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Trans. Energy Convers., Vol. 22, No. 2, pp. 439-449, Jun. 2007.   DOI
2 T. Noguchi, S. Togashi, and R. Nakamoto, “Short current pulse based maximum power point tracking method for multiple photovoltaic and converter module system,” IEEE Trans. Ind. Electron., Vol. 49, No. 1, pp. 217-223, Feb. 2002.   DOI
3 B. Subudhi and R. Pradhan, “A comparative study on maximum power point tracking techniques for photovoltaic power systems,” IEEE Trans. Sustain. Energy, Vol. 4, No. 1, pp. 89-98, Jan. 2013.   DOI
4 M.A.G. de Brito, L. Galotto, L.P. Sampaio, G. de Azevedo e Melo, and C.A. Canesin, “Evaluation of the main mppt techniques for photovoltaic applications,” IEEE Trans. Ind. Electron., Vol. 60, No. 3, pp. 1156-1167, Mar. 2013.   DOI
5 J. Ahmad, "A fractional open circuit voltage based maximum power point tracker for photovoltaic arrays," in Proc. ICSTE, pp. 247-250, 2010.
6 N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE Trans. Power Electron., Vol. 20, No. 4, pp. 963-973, Jul. 2005.   DOI
7 M.A. Elgendy, B. Zahawi, and D.J. Atkinson, “Operating characteristics of the p&o algorithm at high perturbation frequencies for standalone pv systems,” IEEE Trans. Energy Convers., Vol. 30, No. 1, pp. 189-198, Mar. 2015.   DOI
8 S.B. Kjær, “Evaluation of the hill climbing and the incremental conductance maximum power point trackers for photovoltaic power systems,” IEEE Trans. Energy Convers., Vol. 27, No. 4, pp. 922-929, Dec. 2012.   DOI
9 K.S. Tey and S. Mekhilef, "Modified incremental conductance mppt algorithm to mitigate inaccurate responses under fast-changing solar irradiation level," Solar Energy, Vol. 101, pp. 333-342, Jan. 2014.   DOI
10 F. Liu, S. Duan, F. Liu, B. Liu, and Y. Kang, “A variable step size inc mppt method for pv systems,” IEEE Trans. Ind. Electron., Vol. 55, No. 7, pp. 2622-2628, Jul. 2008.   DOI
11 G. Hsieh, H. Hsieh, C. Tsai, and C. Wang, “Photovoltaic power-increment-aided incremental-conductance MPPT with two-phased tracking,” IEEE Trans. Power Electron., Vol. 28, No. 6, pp. 963-973, Jun. 2013.   DOI
12 W. Xiao, W.G. Dunford, P.R. Palmer, and A. Capel, “Application of centered differentiation and steepest descent to maximum power point tracking,” IEEE Trans. Ind. Electron., Vol. 54, No. 5, pp. 2539-2549, Oct. 2007.   DOI
13 W. Xiao and W.G. Dunford, "A modified adaptive hill climbing mppt method for photovoltaic power systems," in Proc. IEEE PESC, pp. 1957-1963, 2004.
14 A. Pandey, N. Dasgupta, and A.K. Mukerjee, “High-performance algorithms for drift avoidance and fast tracking in solar mppt system,” IEEE Trans. Energy Convers., Vol. 23, No. 2, pp. 681-689, Jun. 2008.   DOI
15 Q. Mei, M. Shan, L. Liu, and J.M. Guerrero, “A novel improved variable step-size incremental-resistance mppt method for pv systems,” IEEE Trans. Ind. Electron., Vol. 58, No. 6, pp. 2427-2434, Jun. 2011.   DOI
16 E.M. Ahmed and M. Shoyama, “Variable step size maximum power point tracker using a single variable for stand-alone battery storage PV systems,” Journal of Power Electronics, Vol. 11, No. 2, pp. 218-227, Mar. 2011.   DOI
17 R. Kim, J. Lai, B. York, and A. Koran, “Analysis and design of maximum power point tracking scheme for thermoelectric battery energy storage system,” IEEE Trans. Ind. Electron., Vol. 56, No. 9, pp. 3709-3716, Sep. 2009.   DOI
18 F. Zhang, K. Thanapalan, A. Procter, S. Carr and J. Maddy, “Adaptive hybrid maximum power point tracking method for a photovoltaic system,” IEEE Trans. Energy Convers., Vol. 28, No. 2, pp. 353-360, Dec. 2012.   DOI
19 Z. Xu, P. Yang, D. Zhou, P. Li, J. Lei and Y. Chen, “An improved variable step size MPPT algorithm based on INC,” Journal of Power Electronics, Vol. 15, No. 2, pp. 487-496, Mar. 2015.   DOI
20 E.M. Ahmed and M. Shoyama, “Scaling factor design based variable step size incremental resistance maximum power point tracking for PV systems,” Journal of Power Electronics, Vol. 12, No. 1, pp. 218-227, Jan. 2012.   DOI
21 T.K. Soon and S. Mekhilef, “A fast-converging mppt technique for photovoltaic system under fast-varying solar irradiation and load resistance,” IEEE Trans. Ind. Informat., Vol. 11, No. 1, pp. 176-186, Feb 2015.   DOI
22 K. Lee and R. Kim, “An adaptive maximum power point tracking scheme based on a variable scaling factor for photovoltaic systems,” IEEE Trans. Energy Convers., Vol. 27, No. 4, pp. 1002-1008, Dec 2012.   DOI
23 K.L. Lian, J.H. Jhang and I.S. Tian, “A maximum power point tracking method based on perturb-and-observe combined with particle swarm optimization,” IEEE J. Photovoltaics, Vol. 4, No. 2, pp. 626-633, Mar. 2014.   DOI
24 S.K. Kollimalla and M.K. Mishra, “Variable perturbation size adaptive p&o mppt algorithm for sudden changes in irradiance,” IEEE Trans. Sustain. Energy, Vol. 5, No. 3, pp. 718-728, Jul. 2014.   DOI
25 S. Jain and V. Agarwal, “A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems,” IEEE Power Electron. Lett., Vol. 2, No. 1, pp. 16-19, Mar. 2004.   DOI
26 W. Xiao, H.H. Zeineldin, and P. Zhang, “Statistic and Parallel Testing Procedure for Evaluating Maximum Power Point Tracking Algorithms of Photovoltaic Power Systems,” IEEE Journal of Photovoltaics, Vol. 3, No. 3, pp.1062-1069, Jul. 2013   DOI
27 S. Jain and V. Agarwal, “Comparison of the performance of maximum power point tracking schemes applied to single-stage grid-connected photovoltaic systems,” IET Electric Power Applicat., Vol. 1, No. 5, pp. 753-762, Sep. 2007.   DOI
28 X. Li, H. Wen and C. Zhao, "Improved Beta Parameter based MPPT Method in Photovoltaic System," in Proc. IEEE ICPE & ECCE, pp.1405-1412, 2015.
29 T. Andrejasic, M Jankovec, and M. Topič, “Comparison of direct maximum power point tracking algorithms using EN 50530 dynamic test procedure,” IET Renewable Power Generation., Vol. 5, No. 4, pp.281-286, Jul. 2011.   DOI
30 S. Park, J. Shin, J. Park, and H. Jeon, "Dynamic analysis and controller design for standalone operation of photovoltaic power conditioners with energy storage," Journal of Electrical Engineering & Technology, Vol. 9, No. 6, pp. 2004-2012, Nov. 2014.   DOI