Maximum power point tracking using neural networks for grid-connected photovoltaic system

2005 International Conference on Future Power Systems

Volumn 2005, Issue , 2005, Pages

  Samangkool, K ^b   Premrudeepreechacharn, S ^a,b  

^a IEEE   (Thailand)

^b CHIANG MAI UNIVERSITY   (Thailand)

Author keywords

Maximum power point tracking; Neural networks; Photovoltaic system

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEMS; NONLINEAR SYSTEMS; PHOTOVOLTAIC CELLS; WAVEFORM ANALYSIS;

MAXIMUM POWER POINT TRACKING; PHOTOVOLTAIC SYSTEMS; POWER FACTORS;

NEURAL NETWORKS;

EID: 33847203656     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/fps.2005.204215     Document Type: Conference Paper

References (14)

1. Hua C, Shen C. Comparative study of peak power tracking techniques for solar storage system. IEEE Applied Power Electronics Conference and Exposition Proceedings, vol. 2. 1998. p. 679-683.
2. Hussein KH, Muta I, Hoshino T, Osakada M. Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proceedings on Generation, Transmission and Distribution. 1995;142 (1):59-64.
3. Brambilla A. New approach to photovoltaic arrays maximum power point tracking. Proceeding of 30 IEEE Power Electronics Specialists Conference, vol. 2. 1998. p. 632-637.
4. th IEEE Photovoltaic Specialists Conference. 2000. p. 1699-1702.
5. Swiegers W, Enslin J. An integrated maximum power point tracker for photovoltaic panels. Proceedings of IEEE International Symposium on Industrial Electronic, vol. 1. 1998. p. 40-44.
6. Hiyama T, Kitabayashi K. Neural network based estimation of maximum power generation from PV module using environment information. IEEE Transactions on Energy Conversion. 1997;12(3):241-247.
7. Hiyama T, Kouzuma S, Imakubo T, Ortmeyer TH. Evaluation of neural network based real time maximum power tracking controller for PV system. IEEE Transaction on Energy Conversion. 1995;10(3):543-548.
8. Hiyama T, Kouzuma S, Imakubo T. Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control. IEEE Transaction on Energy Conversion. 1995;10(2):360-367.
9. Torres AM, Antunes FLM, Reis FS. An artificial neural network-based real time maximum power tracking controller for connecting a PV system to the grid. Proceeding of IEEE the 24th Annual Conference on Industrial Electronics Society, vol. 1. 1998. p. 554-558.
10. Al-Amoudi A, Zhang L. Application of radial basis function networks for solar-array modelling and maximum power-point prediction. IEE Proceeding - Generation, Transmission and Distribution. 2000;147(5):310-316.
11. Won CY, Kim DH, Kim SC, Kim WS, Kim HS. A new maximum power point tracker of photovoltaic arrays using fuzzy controller. Proceeding of Annual IEEE Power Electronics Specialists Conference. 1994. p. 396-403.
12. Senjyu T, Uezato K. Maximum power point tracker using fuzzy control for photovoltaic arrays. Proceedings of the IEEE International Conference on Industrial Technology. 1994. p. 143-147.
13. Simoes MG, Franceschetti NN. Fuzzy optimisation based control of a solar array system. IEE Proceedings on Electric Power Applications. 1999;146(5):552-558.
14. Mahmoud AMA, Mashaly HM, Kandil SA, El Khashab H, Nashed MNF. Fuzzy logic implementation for photovoltaic maximum power tracking. Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. 2000. p. 155-160.