基于人工神经网络的波浪发电系统输出功率预测

Output Power Prediction of the Wave Power System Based on Artificial Neural Network

波浪发电系统的输出功率预测对于其功率平滑控制有着重要的作用。由于波浪变化的不规则性,本文选择能逼近任意非线性曲线的人工神经网络BP算法。首先以基于阿基米德波能浮子(AWS)的波浪发电系统为例,建立波浪数据到功率的简化模型,其次介绍人工神经网络并用BP算法建立预测模型,最后,用一组海面实测数据进行仿真分析,验证预测结果的有效性。

Prediction of the wave out power has an important impact on the power smoothing control.Due to the wave is irregular,artificial neural network_BP algorithm is chosen because it can approximate any nonlinear curve.Firstly,this paper introduces the artificial neural network and the prediction model is established using BP algorithm.Then a simplified model is built from wave data to power based on the Archimedes Wave Swing(AWS)power generation system.Finally,simulation analysis is carried out by a group of wave data who verify the effectiveness of the prediction results.