An ANFIS Based Advanced MPPT Control of a Wind-Solar Hybrid Power Generation System
This paper deals with Maximum power point tracking (MPPT) algorithms for standalone hybrid power generation system. Because of the instantaneous changing nature of solar temperature and insolation level, it is necessary to determine the optimal voltage that ensures the yielding of maximum energy. The optimization of photovoltaic energy generation can be performed by integrating the MPPT in the inverter control design. Perturb & Observe (P&O) and Adaptive Neuro-fuzzy Inference System (ANFIS) are applied. The comparison shows the effectiveness of the ANFIS controller in terms of controlling the voltage level as well as the minimization of harmonic level. The hardware design for the hybrid wind/photovoltaic system has been developed and the software model has been designed using MATLAB/SIMULINK.
Copyright © 2014 Praise Worthy Prize - All rights reserved.
Chih-Ming Hong, and Chiung-Hsing Chen,"Neural-Network-Based MPPT Control of a Stand-Alone Hybrid Power Generation System", IEEE Transactions on Power Electronics, Vol. 26, no. 12, Dec .2011.
D. Das, R. Esmaili, L. Xu, and D. Nichols, "An optimal design of a grid connected hybrid wind/photovoltaic/fuel cell system for distributed energy production," in Proc. 32nd Annu. Conf. IECON, Nov. 6–10, 2005, pp. 2499–2504
G. Abad, M. A. Rodriguez, G. Iwanski, and J. Poza, "Direct power control of doubly-fed-induction-generator-based wind turbine under unbalanced grid voltage," IEEE Trans. On Power Electronics., vol. 25, no. 2, pp. 442–452, Feb. 2010.
B. Yang, Y. Zhao, and X. He, "Design and analysis of a grid-connected photovoltaic power system," IEEE Trans. on Power Electronics., vol. 25, no. 4, pp. 992–1000, Apr. 2010.
Y. M. Cheng, Y. C. Liu, S. C. Hung, and C. S. Cheng, "Multi-input inverter for grid-connected hybrid PV/wind power system," IEEE Trans. on Power Electronics., vol. 22, no. 3, pp. 1070–1076, May 2007.
H. Li, K. L. Shi, and P. G. McLaren, "Neural-network-based sensorless maximum wind energy capture with compensated power coefficient," IEEE Trans. on Ind. Appl., vol. 41, no. 6, pp. 548–1556, Nov./Dec. 2005.
Kim.S.K., J.H Jeon, C.H. Cho, J.B. Ahn, and S.H. Kwon 2008. "Dynamic Modeling and Control of a Grid-Connected Hybrid Generation System with Versatile Power Transfer," IEEE Transactions on Industrial Electronics,vol.55pp16771688.
S. L. Brunton, C.W. Rowley, S. R. Kulkarni, and C. Clarkson, "Maximum power point tracking for photovoltaic optimization using ripple-based extremum seeking control," IEEE Transactions on Power Electronics., vol. 25, no. 10, pp. 2531–2540, Oct. 2010.
M.Veerachary, T. Senjyu, andK.Uezato, "Voltage-based maximum power point tracking control of PV system," IEEE Trans. Aerosp. Electron. Syst., vol. 38, no. 1, pp. 262–270, Jan. 2002.:
J. T. Bialasiewicz, E. Muljadi, and R. G. Nix, "Simulation-based analysis of dynamics and control of autonomous wind–diesel hybrid power systems," Int. J. Power Energy Syst., vol. 22, no. 1, pp. 24–33, 2002.
S.Lalouni, D.Rekioua, "Optimal Control of a Grid Connected Photovoltaic System with Constant Switching Frequency" Elsevier: Energy Procedia 36 (2013) pp. 189 – 199.
Ahmed.N.A., M. Miyatake and A. K. Al-Othman, . "Power fluctuations suppression of stand-alone hybrid generation combining solar photovoltaic/wind turbine and fuel cell systems," in Proc. Of Energy Conversion and Management, Vol. 49, 2008, pp. 2711-271.
Blorfan, A., Sturtzer, G., Flieller, D., Wira, P., Mercklè, J., An adaptive control algorithm for maximum power point tracking for photovoltaic energy conversion systems - A comparative study, (2014) International Review of Electrical Engineering (IREE), 9 (3), pp. 559-565.
Anandhakumar, G., Venkateshkumar, M., Shankar, P., Fuzzy logic controller based MPPT method of the photovoltaic power system, (2014) International Review of Automatic Control (IREACO), 7 (3), pp. 240-244.
Sabari Nathan, L., Ashok Kumar, L., Vaikundaselvan, B., Ravi Krishna, S., Modeling of control and power management of a hybrid wind-solar system using optimization technique, (2013) International Review on Modelling and Simulations (IREMOS), 6 (5), pp. 1570-1580.
Hossain, M.K., Ali, M.H., Overview on maximum power point tracking (MPPT) techniques for photovoltaic power systems, (2013) International Review of Electrical Engineering (IREE), 8 (4), pp. 1363-1378.
Melhaoui, M., Baghaz, E., Hirech, K., Yaden, F., Kassmi, K., Contribution to the improvement of the MPPT control functioning of photovoltaic systems, (2014) International Review of Electrical Engineering (IREE), 9 (2), pp. 393-400.
Guisser, M., El-Jouni, A., Abdelmounim, E.H., Robust sliding mode MPPT controller based on high gain observer of a photovoltaic water pumping system, (2014) International Review of Automatic Control (IREACO), 7 (2), pp. 225-232.
Farhat, S., Alaoui, R., Kahaji, A., Bouhouch, L., MPPT efficiency test by neural networks and P&O algorithm, (2013) International Review of Electrical Engineering (IREE), 8 (5), pp. 1548-1555.
Sundeep, S., Madhusudhana Rao, G., Sankar Ram, B.V., An ANN control of maximum power point tracking for grid connected wind machines, (2014) International Review of Automatic Control (IREACO), 7 (1), pp. 52-59.
Abid, H., Tadeo, F., Toumi, A., Chaabane, M., MPPT of a photovoltaic panel based on Takagi-Sugeno and fractional algorithms, (2014) International Review of Automatic Control (IREACO), 7 (3), pp. 245-253.
Ma, T.-T., Shr, T.-H., Design and hardware implementation of a versatile photovoltaic power generating system, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 207-215.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2021 Praise Worthy Prize