Open Access Open Access  Restricted Access Subscription or Fee Access

Performance Analysis of Grid Connected SPV System for Different MPPT Algorithms


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/irecon.v1i4.682

Abstract


Maximum Power Point Tracking (MPPT) is used in Solar Photovoltaic (SPV) systems to maximize the photovoltaic array output power, irrespective of the temperature and irradiation conditions and of the load electrical characteristics. This paper proposes a mathematical model for three-phase SPV systems with MPPT control. The parametric equation of SPV cell, MPPT algorithms for tracking maximum power from the PV source, integration of PV model with the grid through a DC-DC boost converter and a three-phase PWM inverter are discussed. The detailed model is developed to perform the comparison of different algorithms in terms of switching losses, junction temperature and sink temperature of power electronics devices. The resulting system has high efficiency, lower cost and can be easily modified for different applications. Perturb and Observe (P&O) method and Incremental Conductance (INC) method with variable step size is used for MPPT, giving the basis for reference current generation and in turn effectively control the PWM inverter feeding power to the grid. The performance evaluation has been carried out for modified variable step size of the duty cycle of DC-DC boost converter for both algorithms for various outputs of the SPV array, in terms of energy injected to grid, switching losses, junction temperature and sink temperature. The results validated the effectiveness of the MPPT algorithm in increasing SPV output energy, decrease in the switching losses, junction and sink temperature. The results show that INC method is slightly better to P&O method in energy injected to the grid with lower switching losses, junction and sink temperature.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


SPV; MPPT; Thermal Model; Switching Losses

Full Text:

PDF


References


J. Li, H. Wang, A noval stand alone PV generation system based on variable step size INC MPPT and SVPWM control, Power Electronics and Motion Control Conference on POWER AND ENERGY SYSTEMS, 2009.

J. J. Schoeman, J. D. van Wyk, A simplified maximal power controller for terrestrial photovoltaic panel arrays, 13th Annu. IEEE Power electronics Spec. Conference, 1982, pp.361–367.

M. Buresch, Photovoltaic Energy Systems. New York: McGraw Hill 1983.

G. W. Hart, H. M. Branz, C. H. Cox., Experimental tests of open loop maximum-power-point tracking techniques, Solar Cells 1984, pp.185–195

D. J. Patterson, Electrical system design for a solar powered vehicle. 21st Annu. IEEE Power electronics Conference, 1990, pp.618–622

M. A. S. Masoum, H. Dehbonei, E. F. Fuchs (2002), Theoretical and experimental analysis of photovoltaic systems with voltage and current based maximum power point tracking, IEEE Trans. Energy Convers. Vol:17, pp.514-522

H.-J. Noh, D.-Y. Lee, D.-S. Hyun, An improved MPPT converter with current compensation method for small scaled PV-applications, Annu. Conf. Ind. Electron. Soc., 2002, pp.1113–1118.

K. Kobayashi, H. Matsuo, Y. Sekine, A novel optimum operating point tracker of the solar cell power supply system. IEEE Power Electron. Spec. Conference, 2004, pp.2147–2151.

B. Bekker, H. J. Beukes, Finding an optimal PV panel maximum power point tracking method, 7th AFRICON Conf. Africa ,2004, pp.1125–1129.

T. Noguchi, S. Togashi, R. Nakamoto, Short-current pulse based adaptive maximum-power-point tracking for photovoltaic power generation system, IEEE Int. Symp. On Ind. Electron, 2000, pp.157–162.

N. Mutoh, T. Matuo, K. Okada, M. Sakai, Prediction-data-based maxi mum-power-point-tracking method for photovoltaic power generation systems, IEEE Power electronics Spec. Conference 2002, pp.1489–1494.

S. Yuvarajan, S. Xu., Photo-voltaic power converter with a simple maximum-power-point-tracker, Int. Symp. Circuits System 2003, pp.399–402.

N. Femia, G. Petrone, G. Spagnuolo, M. Vitelli, Optimization of perturb and observe maximum power point tracking method, IEEE Trans. Power Electron., vol. 20, 2005, pp. 963–973

D. Sera, T. Kerekes, R. Teodorescu, F. Blaabjerg, Improved MPPT method for rapidly changing environmental conditions, in Proc. IEEE ISIE, 2006, pp. 1420–1425.

T. Esram, P. L. Chapman, Comparison of photovoltaic array maximum power point tracking techniques, IEEE Trans. Energy Convers., vol. 22, 2007, pp. 439–449.

E. Koutroulis, K. Kalaitzakis, N. C. Voulgaris, Development of a microcontroller-based, photovoltaic maximum power point tracking control system, IEEE Trans. Power Electron., vol. 16, 2001, pp. 46–54.

K. H. Hussein, I. Muta, T. Hoshino, M. Osakada, Maximum photovoltaic power tracking: An algorithm for rapidly changing atmospheric conditions, Proc. Inst. Electr. Eng.—Generation, Transmission Distrib., vol. 142, 1995, pp. 59–64.

G. J. Yu, Y. S. Jung, J. Y. Choi, G. S. Kim, A novel two-mode MPPT control algorithm based on comparative study of existing algorithms, Sol. Energy, vol. 76, 2004, pp. 455–463.

K. H. Hussein, I. Muta, T. Hoshino, M. Osakada, Maximum photovoltaic power tracking: An algorithm for rapidly changing atmospheric conditions, Proc. Inst. Electr. Eng.—Generation, Transmission Distrib., vol. 142, 1995, pp. 59–64.

G. J. Yu, Y. S. Jung, J. Y. Choi, G. S. Kim, A novel two-mode MPPT control algorithm based on comparative study of existing algorithms, Sol. Energy, vol. 76, 2004, pp. 455–463.

H. Koizumi, T. Mizuno, T. Kaito, Y. Noda, N. Goshima, M. Kawasaki, K. Nagasaka, K. Kurokawa, A novel microcontroller for grid connected photovoltaic systems, IEEE Trans. Ind. Electron., vol. 53, 2006, pp. 1889–1897.

B. M.Wilamowski, X. Li., Fuzzy system based maximum power point tracking for PV system., 28th Annu. Conf. IEEE Ind. Electron. 2002, pp.3280–3284.

M. Veerachary, T. Senjyu, K. Uezato, Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost converter-supplied PV system using fuzzy controller, IEEE Trans. Ind. Electronics, vol: 50, pp.749–758.

M. Veerachary, T. Senjyu, K. Uezato, Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost converter-supplied PV system using fuzzy controller, IEEE Trans. Ind. Electronics, vol. 50, 2003, pp.749–758.

N. Khaehintung, K. Pramotung, B. Tuvirat, P. Sirisuk, RISC microcontroller built-in fuzzy logic controller of maximum power point tracking for solar-powered light-flasher applications, 30th Annu. Conf. IEEE Ind. Electron. Soc., 2004, pp.2673–2678.

K. Ro, S. Rahma, Two-loop controller for maximizing performance of a grid-connected photovoltaic-fuel cell hybrid power plant, IEEE Trans. Energy Conversion, vol.13(3), 1998, pp.276-281

A. Hussein, K.Hirasawa, J. Hu, J. Murata, The dynamic performance of photovoltaic supplied dc motor fed from DC–DC converter and controlled by neural networks. Int. Joint Conf. Neural Network, 2002, pp.607–612.

X. Sun, W. Wu, X. Li, Q. Zhao, A research on photovoltaic energy controlling system with maximum power point tracking. Power Convers. Conference, 2002, pp.822–826.

L. Zhang, Y. Bai, A. Al-Amoudi, GA-RBF neural network based maximum power point tracking for grid-connected photovoltaic system. Int. Conf. Power Electronics Machines and Drives, 2002, pp.18–23.

H. Afgoul, F. Krim., Intelligent energy management in a photovoltaic installation using neuro-fuzzy technique. IEEE ENERGYCON Conference and Exhibition, 2012, pp. 20–25.

Fangrui Liu, Shanxu Duan, Fei Liu, Bangyin Liu, Yong Kang, A Variable Step Size INC MPPT for PV systems, IEEE Transaction on Industrial Electronics, vol. 55, 2008, pp. 2622 – 2628.

Ciobotaru, M. kerekes, T. Teodorescu, PV inverter simulation using MATLAB/SIMULINK graphical environment, IEEE Industrial Electronics IECON, pp. 5313 – 5318.

R. V. Dell’ Aquila, L. Baboni, R. Morici, A new approach: modeling simulation, development and implementation of a commercial grid-connected transformerless PV inverter, International Symposium on Power Electronics, Electrical Drives, automation and Motion, 2010.

A. Pandey, N. Dasgupta, A. K. Mukerjee, Design issues in implementing MPPT for improved tracking and dynamic performance, IEEE IECON, 2006, pp. 4387-4391.

W. Xiao, W. G. Dunford, A modified adaptive hill climbing MPPT method for photovoltaic power system, IEEE PESC, 2004, pp.1957-1963.

Y. Chen, X. Jin, Modeling and control of three phase voltage source PWM rectifier. IPEMC, 2006, vol. 3, pp.1-4.

Liang Ma, Nonlinear PID control for three phase PWM rectifier based on predictive current control. ICIEA, 2008, pp. 649-653.

Liang. Ma, Wang Ran, Trillion Q. Zheng, Modeling and control of 100kW three-pahse grid connected photovoltaic inverter, 5th IEEE Conference on Industrial Electronics and Applications, 2010.

D. Xu, H. Lu, L. Hung Liu, Satoshi, S. Azuma, Power Loss and Junction Temperature Analysis of Power Semiconductor Devices, IEEE Transaction on Industry Applications, vol. 38, 2010, pp. 1426 – 1431.

Data Sheet, IGBT Module U- Series 1200/600A, 1MBI600UB-120.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize