A New Approach For Control of Wind Energy Conversion Systems
Publish place: 19th International Power System Conference
Publish Year: 1383
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
PSC19_214
تاریخ نمایه سازی: 12 آذر 1385
Abstract:
Grid connected wind energy conversion systems (WECS) present interesting control demands, due to the intrinsic nonlinear characteristics of windmills and electric generators. In this paper a PID control strategy using neural network adaptive RASP1 wavelet for WECS control is proposed. It is based on a single layer feedforward neural networks with hidden nodes of adaptive RASP1 wavelet functions controller and an infinite impulse response (IIR) recurrent structure. The IIR is combined by cascading to the network to provide double local structure resulting in improving speed of learning. This particular neuro PID controller assumes a certain model structure to approximately identify the system dynamics of the unknown plant and generate the control signal. The capability of neuro PID controller to self tuning of an unknown plant is then illustrated through WECS. The results are applied to a typical turbine/generator pair, showing the feasibility of the proposed solution.
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Authors
SEDIGHIZADEH
PhD Student Power System Studies Dept.-Power Engineering Consultants-MOSHANIR-Tehran-Iran
KALANTAR
Associate professor Electrical Dept.-Iran University of Science and Technology-Narmak-Tehran- ۱۶۸۴۴,Iran
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