| 摘要: |
| 取能效率是衡量波浪发电装置设计合理与否的重要参考标准。文章首先介绍了摇臂式波浪发电平台，接着对BP神经网络的原理和算法进行了描述，最后以水池试验过程中收集的数据为样本数据，在Matlab平台上运用BP神经网络对实海况下摇臂式波浪发电平台的取能效率作了仿真预测。仿真结果表明：实海况下摇臂式波浪发电平台的取能效率达到了预期目标，进一步说明BP神经网络成功训练出可靠的网络，在此基础上预测的数据具有一定的参考价值。 |
| 关键词: BP神经网络 数据预测 发电平台 取能效率 Matlab |
| DOI： |
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| 基金项目:江苏高校高技术船舶协同创新中心项目（HZ20180007）. |
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| Energy Efficiency of Rocker Wave Power Generation Platform Based on BP Neural Network Prediction |
| CHEN Lixue,LI Detang,HUA Jun,LAI Wenbin,SHEN Hongqun |
| Port and Transportation Engineering College,Zhejiang Ocean University;School of Civil and Mechanical Engineering,Zhejiang Ocean University |
| Abstract: |
| Energy efficiency is an important reference standard for measuring the rationality of wave power plant design.This paper introduced the rockertype wave power generation platform,and described the principle and algorithm of BP neural network.The data collected during the pool test process was taken as the sample data,and the BP neural network was used to shake the real sea state on the Matlab platform.The energyreceiving efficiency of the arm wave power platform was simulated and predicted.The simulation results showed that the energy efficiency of the rockertype wave power generation platform reached the expected range under real sea conditions,which further demonstrated that the BP neural network had successfully trained a reliable network,so as the predicted data would have certain reference value. |
| Key words: BP neural network,Data prediction,Power generation platform,Energy efficiency,
Matlab |
