Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Similars in SciELO
Share
Journal of applied research and technology
On-line version ISSN 2448-6736Print version ISSN 1665-6423
J. appl. res. technol vol.13 n.2 Ciudad de México Apr. 2015
Applying novel fractional order incremental conductance algorithm to design and study the maximum power tracking of small wind power systems
Kuo Nan Yu*, Chih Kang Liao
Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung, Taiwan (R.O.C.) *Correponding author. E-mail address: yukn@ncut.edu.tw
Abstract
The maximum power point tracking is a very important scheme of many renewable energy. It can increase the power efficiency. However, many traditional methods has defects for the applications. This study proposed a novel fractional order incremental conductance algorithm (FOINC) for the maximum power point tracking design of small wind power systems. The proposed method is prompt in the transient of maximum power point tracking and has good steady-state response. Moreover, it can increase the maximum power tracking efficiency of system without changing the wind power system equipments. The comparison between the traditional incremental conductance method (INC) and Perturbation and Observation (P & O) proved the reliability and effectiveness of the proposed method.
Keywords: Wind power; MPPT; Factional order.
DESCARGAR ARTÍCULO EN FORMATO PDF
References
Barakati, S.M., Kazerani, M., & Chen, X. (2005). A new wind turbine generationsystem based on matrix converter, in Proc. IEEE Power Engineering Society General Meeting, June 12-16 (vol. 3, pp. 2083-2089). [ Links ]
Dalala, Z.M., Zahid, Z.U., Wensong Yu, Younghoon, C., & Jih-Sheng, L. (2013) . Design and Analysis of an MPPT Technique for Small-Scale Wind Energy Conversion Systems. IEEE Transactions on Energy Conversion, 28, 759-67. [ Links ]
Dumnic, B., Katic, V., Vasic, V., Milicevic, D., & Delimar, M. (2012). An Improved MRAS Based Sensorless Vector Control Method for Wind Power Generator. Journal of Applied Research and Technology, 10, 687-679. [ Links ]
Faraji, R., Rouholamini, A., Naji, H.R., Fadaeinedjad, R., & Chavoshian, M.R. (2014). FPGA-based real time incremental conductance maximum power point tracking controller for photovoltaic systems. IET Power Electron, 7 1294-304. [ Links ]
Femia, N., Petrone, G., Spagnuolo, G., & Vitelli, M. (2004). Optimizing Duty-cycle Perturbation of P&O MPPT Technique. IEEE TTransactions on Power Electronics Conference, 20-25 June. [ Links ]
Hau, E. (2005). Wind Turbines: Fundamentals, Technologies, Application, Economics. Berlin, Germany: Springer. [ Links ]
Jazaeri, M., Samadi, A.A., Najafi, H.R., & Noroozi-Varcheshme, N. (2012). Eigenvalue Analysis of a Network Connected to a Wind Turbine Implemented with a Doubly-Fed Induction Generator (DFIG). Journal of Applied Research and Technology, 10, 791-811. [ Links ]
Kenneth S., Miller & Bertram, R. (1993). An introduction to the fractional calculus and fractional differential equations. New York: John Wiley & Sons. [ Links ]
Kish, G.J., Lee, J.J., & Lehn, P.W. (2012). Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking. IET Renewable Power Generation, 6, 259-66. [ Links ]
Koutroulis, E., & Kalaitzakis, K. (2006). Desgin of a Maximum Power Point Tracking System for Wind-Energy-Conversion Applications. IEEE Industrial Electronics Magazine, 53, 486-494. [ Links ]
Ma, C., & Hori, Y. (2007). Fractional-order control:theory and applications inmotion control. IEEE Industrial Electronics Magazine, 1, 6-16. [ Links ]
Mahdi, A.J., Tang, W.H., & Wu, Q.H. (2012). Novel Perturbation and Observation Algorithms for Variable-speed Wind Turbine Generator Systems. Power and Energy Society General Meeting, IEEE, 22-26 July 2012. [ Links ]
Nakamura, T., Morimoto, S., Sanada, M., & Takeda, Y. (2002). Optimum control of IPMSG for wind generation system. IEEE Power Conversion Conference (vol. 3, pp. 1435-1440). [ Links ]
Podlubny I. (1999). Fractional differential equations. Mathematics in science and engineering. New York: Academic Press. [ Links ]
Raza Kazmi, S.M., Goto, H., Hai-Jiao G., & Ichinokura, O. (2011). A Novel Algorithm for Fast and Efficient Speed-Sensorless Maximum Power Point Tracking in Wind Energy Conversion Systems. IEEE Industrial Electronics Magazine, 58, 29-36. [ Links ]
Saha, S., Das, S., Ghosh, R., Goswami, B., Balasubramanian, R., Chandra, A.K., & Gupta, A. (2010). Design of a Fractional Order Phase Shaper for Iso-Damped Control of a PHWR Under Step-Back Condition. IEEE Transactions on Nuclear Science, 57, 1602-1612. [ Links ]
Sera, D., Mathe, L., Kerekes, T., Spataru, S.V., & Teodorescu, R. (2013). On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems. IEEE Journal of Photovoltaics; 3(3):1070-1078. [ Links ]
Shantanu, D. (2008). Functional fractional calculus for system identification and controls. Berlin Heidelberg, New York: Springer. [ Links ]
Tavakoli-Kakhki, M., Haeri, M., & Tavazoei, M.S. (2013). Study on Control Input Energy Efficiency of Fractional Order Control Systems. IEEE Transactions on Circuits and Systems I-Regular Papers, 3, 475-482. [ Links ]
Yamakura, S., & Kesamaru, K. (2012). Dynamic Simulation of PMSG Small Wind Turbine Generation System with HCS-MPPT Control. Electrical Machines and Systems (ICEMS), 21-24 Oct. [ Links ]