Neural Network Controller for a Permanent Magnet Generator Applied in Wind Energy Conversion System

Mona N. Eskander

Neural Network Controller for a Permanent Magnet Generator Applied in Wind Energy Conversion System

Mona N. Eskander

Vol. 2, No. 1, pp. 46-54, Jan. 2002

10.6113/JPE.2001.02.1.46

Wind energy conversion

Permanent magnet generator

Neural Networks

Maximum power tracking

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Abstract

In this paper a neural network controller for achieving maximum power tracking as well as output voltage regulation, for a wind energy conversion system (WECS) employing a permanent magnet synchronous generator is proposed The permanent magnet generator (PMG) supplies a de load via a bridge rectifier and two buck-boost converters Adjusting the switching frequency of the first buck-boost converter achieves maximum power tracking. Adjusting the switching frequency of the second buck-boost converter allows output voltage regulation The on-time of the switching devices of the two converters are supplied by the developed neural network (NN) The effect of sudden changes in wind speed and! or in reference voltage on the performance of the NN controller are explored Simulation results showed the possibility of achieving maximum power tracking and output voltage regulation simultaneously with the developed neural network controllers. The results proved also the fast response and robustness of the proposed control system.

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Cite this article

[IEEE Style]

M. N. Eskander, "Neural Network Controller for a Permanent Magnet Generator Applied in Wind Energy Conversion System," Journal of Power Electronics, vol. 2, no. 1, pp. 46-54, 2002. DOI: 10.6113/JPE.2001.02.1.46.

[ACM Style]

Mona N. Eskander. 2002. Neural Network Controller for a Permanent Magnet Generator Applied in Wind Energy Conversion System. Journal of Power Electronics, 2, 1, (2002), 46-54. DOI: 10.6113/JPE.2001.02.1.46.