基于人工神经网络的风抽水系统

F. Hamidia, A. Abbadi, M. Boucherit
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引用次数: 2

摘要

全球化石燃料资源的迅速枯竭,迫切需要对可再生能源进行研究。如今,有许多形式的可再生能源,最常用的是:太阳能、风能和水力。随着人们对可持续发展和减少温室效应的日益关注,风力抽水系统被认为是可再生能源工业的一个有前景的应用。本文重点研究了风力发电源供气系统的开发;为了达到最大功率点(MPPT),该技术基于人工神经网络来获得更好的性能,特别是因为这些智能技术不需要精确的模型,我们在系统中添加了基于人工神经网络的电池和直流电压控制器。最后给出了仿真结果,验证了该方法的有效性和可行性。
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Wind Water Pumping System Based on ANN
The rapid depletion of global fossil fuel resources has necessitated urgent research for renewable energy sources. Nowadays, there are many forms of renewable energy, the most commonly used are: solar, wind and hydraulic. Wind water pumping system is considered as a promising application of renewable energy industry sustained by the increased interest on sustainable development and the reduction of greenhouse effect.This paper focuses on developing of pumping system supplied by wind turbine source; and to reach the maximum power point (MPPT), this technique is based on Artificial Neural Network to get better performance especially because these intelligent techniques do not require a precise model, we added to our system a battery and DC voltage controller based also on ANN.Finally, simulation results are given to show the effectiveness and feasibility of the approach.
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