風力發電之類神經網路最大功率追蹤

黃意明

doi:10.6840/CYCU.2006.00326

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風力發電之類神經網路最大功率追蹤

Neural Networks Based MPPT for Wind Power Generation

黃意明 , Masters　　Advisor：楊宏澤　　

繁體中文 DOI： 10.6840/CYCU.2006.00326

永磁式同步發電機；最大功率追蹤；擾動觀察法；風力發電系統；類神經網路； wind-turbine generation system ； perturbation & observation ； maximum power point tracking ； permanent-magnet synchronous generator ； neural networks

Abstract │ Reference (36) │ Times Cited (10) │ Altmetrics

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The wind-turbine generation system (WTGS) exhibits a nonlinear characteristic and thus its maximum power point varies with changing atmospheric conditions. In order to operate the WTGS at maximum power points under different wind speeds and to avoid using anemometer in practical applications, the thesis adopts neural network base maximum power points tracking (MPPT) control theory in the WTGS.
In the thesis, load characteristic models of the WTGS under different wind speeds are first built up for design of control rules and feasibility studies of the proposed MPPT methods. We realize and compare the traditional current-type perturbation & observation (P&O) algorithm, three-point-weighting comparison (TPWC) algorithm, variable-speed wind turbine power control method, as well as the proposeed neural networks based MPPT method. In the practical system implementations, the MPPT methods are integrated with the TMS320C240 digital signal processor to adjust the duty ratios of the buck converter to operate the WTGS at maximum power outputs.
To compare and verify the effectiveness of the four MPPT control methods mentioned above, a practical WTGS has been used. The WTGS includes a small wind turbine with three 1.17m-diameter blades and a three-phase, 12-pole, 100W, small permanent-magnet synchronous generator. The experimental results show that the neural networks based MPPT method can reach maximum power points in different wind-speed conditions without using anemometer, and it can solve the oscillation problems around the maximal power output point in traditional P&O and TPWC algorithms.

Reference ( 36 ) 〈TOP〉

[1] 國家政策研究基金會，http://www.npf.org.tw/。
連結：
[3] Andrew Miller, Edward Muljad and Donald S. Zinger “A Variable Speed Wind Turbine Power Control,” IEEE Transactions on Energy Conversion, Vol. 12, No. 2, June 1997.
連結：
[4] E. Koutroulis, K. Kalaitzakis and N.C. Voulgaris, “Development of a microcontroller-based photovoltaic maximum power point tracking control system,” IEEE Transactions on Power Electronics, Vol. 16, No. 1, pp. 46-54, Jan. 2001.
連結：
[5] K. H. Hussein, I. Muta, T. Hoshino and M. Osakada, “Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric condition,” IEE Proceedings-Generation Transmission Distribution, Vol. 142, No. 1, pp. 59-64 Jan. 1995.
連結：
[6] J. H. R. Enslin, ”Maximum power point tracking: a cost saving necessity in solar energy systems,” Conference of IEEE IECON, Vol. 2, pp.1073-1077, 1990.
連結：

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