NOVEL FSM BASED MPPT FOR ASSESSMENT OF PV FED WATER PUMPING SYSTEM UNDER PSC
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Feb 12, 2019
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Abstract
In this article novel fast sweeping method is proposed as MPPT for PV fed water pumping system. Solar photovoltaic (PV) array which is exposed to the uniform solar irradiance shows the non-linear P-V characteristic. Though, the P-V characteristic becomes further complex with numerous maximum power points (MPP) when the array is functioned in partially shading condition. PSC results hotspots, power loss and reduces the reliability of the solar power generation system. Furthermore PV characteristic curves of solar panel array reveal several peaks. The main disadvantages of traditional MPPT methods are that they are unable to track global peak under non-uniform irradiance/insolation. Under this condition traditional MPPT methods frequently are unsuccessful to provide optimum MPP. In this paper novel Fast sweeping method is proposed as MPPT to track global MPPT. The performance of proposed MPPT is compared with existing intelligent controllers such as Fuzzy logic controller, artificial neural network controller and adaptive Neuro Fuzzy inference system based MPPT in a partial shading condition. Entire system is analysed using Matlab. Experimental analysis is done to validate the simulation.
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[13] 13. Radianto, D., Asfani, D.A. and Hiyama, T., , Partial shading detection and mppt controller for total cross tied photovoltaic using anfis., 2012
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[2] 2. M.R. Islam, R. Saidur, N.A. Rahim, and K,H, Solangi., Usage of solar energy and its status in Malaysia, Engineering e-Transaction. 5(1). 6-10.
[3] 3. Syafaruddin, E. Karatepe, and T. Hiyama. , Polar coordinate fuzzy controller based real-time maximum-power point control of photovoltaic system, Renewable Energy. 34(12). 2597-2606.
[4] 4. Farhat, M., Flah, A., & Sbita, L., Photovoltaic maximum power point tracking based on ANN control, International Review on Modelling and Simulations. 7(3). 474-480
[5] 5. Zakzouk, N.E., Abdelsalam, A.K., Helal, A.A. and Williams, B.W.,, Modified variable-step incremental conductance maximum power point tracking technique for photovoltaic systems, In Industrial Electronics Society, IECON 2013-39th Annual Conference of the IEEE. 1741-1748.
[6] 6. Hadji, S., Gaubert, J.P. and Krim, F.,, Maximum Power Point Tracking (MPPT) for Photovoltaic systems using open circuit voltage and short circuit current. , In Systems and Control (ICSC), 2013 3rd International Conference. 87-92.
[7] 7. El Khateb, A., Rahim, N.A., Selvaraj, J. and Uddin, M.N.,, Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking, . IEEE Transactions on Industry Applications. 50(4). 2349-2358.
[8] 8. Farhat, M., Barambones, O., & Sbita, L, Efficiency optimization of a DSP-based standalone PV system using a stable single input fuzzy logic controller. , Renewable and Sustainable Energy Reviews. 49. 907-920.
[9] 9. Choudhury, S. and Rout, P.K.,, Adaptive Fuzzy Logic Based MPPT Control for PV System under Partial Shading Condition, International Journal of Renewable Energy Research (IJRER). 5(4).1252-1263.
[10] 10. Allataifeh, A. A., Bataineh, K., & Al-Khedher, M., Maximum Power Point Tracking Using Fuzzy Logic Controller under Partial Conditions, Smart Grid and Renewable Energy. 6(01). 1.
[11] 11. Bouselham, L., Hajji, M., Hajji, B. and Bouali, H., A new MPPT-based ANN for photovoltaic system under partial shading conditions., Energy Procedia. 111. 924-933.
[12] 12. Belhachat, F. and Larbes, , Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions., Renewable and Sustainable Energy Reviews. 77. 875-889.
[13] 13. Radianto, D., Asfani, D.A. and Hiyama, T., , Partial shading detection and mppt controller for total cross tied photovoltaic using anfis., 2012
[14] 14. Belhachat, F. and Larbes, C., , Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions, Solar Energy. 120. 399-418.
[15] 15. Luo, Fang Lin, Hong Ye, and Muhammad H. Rashid. , DC/DC conversion techniques and nine series Luo-converters. , Power electronics handbook (2001): 335406.
[16] 16. Hussein, K. H., Muta, I., Hoshino, T., & Osakada, M., Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions, IEE Proceedings-Generation,Transmission and Distribution. 142(1). 59-64.
[17] 17. Veerachary, M., Senjyu, T., & Uezato, K. , Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller, IEEE Transactions on Industrial Electronics. 50(4). 749-758.
[18] 18. Kharb, R. K., Shimi, S. L., Chatterji, S., & Ansari, M. F, Modeling of solar PV module and maximum power point tracking using ANFIS., Renewable and Sustainable Energy Reviews. 33. 602-612.