The new maximum power point tracking algorithm using ANN-based solar PV systems Lee H.H., Phuong L.M., Dzung P.Q., Dan Vu N.T., Khoa L.D School of Electrical Engineering, University of Ulsan, Ulsan, South Korea; HCMC University of Technology, Ho Chi Minh City, Viet Nam Abstract: In grid connected photovoltaic (PV) systems, maximum power point tracking (MPPT) algorithm plays an important role in optimizing the solar energy efficiency In this paper, the new artificial neural network (ANN) based MPPT method has been proposed for searching maximum power point (MPP) fast and exactly For the first time, the combined method is proposed, which is established on the ANN-based PV model method and incremental conductance (IncCond) method The advantage of ANN-based PV model method is the fast MPP approximation base on the ability of ANN according the parameters of PV array that used The advantage of IncCond method is the ability to search the exactly MPP based on the feedback voltage and current but don't care the characteristic on PV array The effectiveness of proposed algorithm is validated by simulation using Matlab/ Simulink and experimental results using Card DSPACE 1104 © 2010 IEEE Author Keywords: Artificial neural network (ANN); Incremental conductance (IncCond); Maximum power point tracking (MPPT); Photovoltaic (PV) Index Keywords: Artificial Neural Network; Combined method; D-space; Feedback voltages; Gridconnected photovoltaic system; Incremental conductance; Incremental conductance (IncCond); Maximum power point; Maximum power point tracking; Maximum Power Point Tracking algorithms; Model method; Photovoltaic (PV); PV arrays; Simulink; Solar PV systems; Algorithms; Energy efficiency; Optical flows; Photovoltaic cells; Photovoltaic effects; Pumps; Solar energy; Solar power generation; Neural networks Year: 2010 Source title: IEEE Region 10 Annual International Conference, Proceedings/TENCON Art No.: 5686721 Page : 2179-2184 Link: Scorpus Link Correspondence Address: Lee, H H.; School of Electrical Engineering, University of Ulsan, Ulsan, South Korea; email: hhlee@mail.ulsan.ac.kr Sponsors: IEEE Fukuoka Section;IEEE Region 10 Conference name: 2010 IEEE Region 10 Conference, TENCON 2010 Conference date: 21 November 2010 through 24 November 2010 Conference location: Fukuoka Conference code: 83758 ISBN: 9.78142E+12 CODEN: 85QXA DOI: 10.1109/TENCON.2010.5686721 Language of Original Document: English Abbreviated Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON Document Type: Conference Paper Source: Scopus Authors with affiliations: Lee, H.H., School of Electrical Engineering, University of Ulsan, Ulsan, South Korea Phuong, L.M., HCMC University of Technology, Ho Chi Minh City, Viet Nam Dzung, P.Q., HCMC University of Technology, Ho Chi Minh City, Viet Nam Dan Vu, N.T., HCMC University of Technology, Ho Chi Minh City, Viet Nam Khoa, L.D., HCMC University of Technology, Ho Chi Minh City, Viet Nam References: Chowdhury Sr., B.H., Sawab, A.W., Evaluating the value of distributed photovoltaic generations in radial distribution systems (1996) IEEE Transactions on Energy Conversion, 11 (3), pp 595-600 Mutoh, N., Ohno, M., Inoue, T., A method for MPPT control while searching for parameter corresponding to weather conditions for PV generation systems (2006) IEEE Trans on Industrial Electronics, 53 (4) , august Esram, T., Chapman, P.L., Comparison of photovoltaic array maximum power point tracking techniques (2007) IEEE Trans Energy Conversion, 22 (2) , June Shimizu, T., Hashimoto, O., Kimura, G., A novel high-performance utility-interactive photovoltaic inverter system (2003) IEEE Trans on Power Electronics, 18, pp 704-711 , March Tavares, C.A.P., Leite, K.T.F., Suemitsu, W.I., Bellar, M.D., Performance evaluation of photovoltaic Solar system with different MPPT methods IECON 2009 Proceedings, pp 716-721 Koh, K.-H., Lee, H.-W., Suh, K.-Y., Takashi, K., Taniguchi, K., The power factor control system of photovoltaic power generation system Proc 2002 Osaka Power Conversion Conf., pp 643-646 Femia, N., Petrone, G., Spagnualo, G., Massimo, Optimization of perturb and observe maximum power point tracking method (2005) IEEE Transaction on Power Electronics, 20 (4), pp 903-907 , July Sera, D., Teodorescu, R., Hantschel, J., Noll, M.K., Optimized maximum power point tracker for fast-changing environmental conditions (2008) IEEE Trans Ind Electron., 55 (7), pp 2629-2637 , Jul Kuo, Y.-C., Liang, T.-J., Chen, J.-F., Novel maximum- power-point-tracking controller for photovoltaic energy conversion system (2001) IEEE Transactions on Industrial Electronics, 48 (3) , June 10 Wang, X., Hu, A.P., An improved maximum power point tracking algorithm for photovoltaic systems (2004) Proc Australasian Universities Power Engineering Conference (AUPEC 2004), , 26-29 September, Brisbane, Australia 11 Fangrui, L., Shanxu, D., Fei, L., Bangyin, L., Yong, K., A variable step size INC MPPT method for PV systems (2008) IEEE Trans Ind.Electron., 55 (7), pp 2622-2628 , Jul 12 Dzung, P.Q., Phuong, L.M., Vinh, P.Q., Van Nho, N., Hien, D.M., The development of artificial neural network space vector PWM and diagnostic controller for voltage source inverter (2006) 2006 IEEE Power India Conference, , New Delhi, India, April 10-12 13 Dzung, P.Q., Phuong, L.M., Vinh, P.Q., The development of artificial neural network space vector PWM for four-switch three-phase inverter (2007) International Conference on Power Electronics and Drive Systems- IEEE PEDS 2007, , Thailand, Nov 27th - 30th ... observe maximum power point tracking method (2005) IEEE Transaction on Power Electronics, 20 (4), pp 903-907 , July Sera, D., Teodorescu, R., Hantschel, J., Noll, M.K., Optimized maximum power point. .. to weather conditions for PV generation systems (2006) IEEE Trans on Industrial Electronics, 53 (4) , august Esram, T., Chapman, P.L., Comparison of photovoltaic array maximum power point tracking. .. 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