| 神经网络在光伏发电MPPT的应用研究 |
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| 引用本文： | 王云亮,常雪莲. 神经网络在光伏发电MPPT的应用研究[J]. 化工自动化及仪表, 2013, 40(1): 67-69,89 |
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| 作者姓名： | 王云亮 常雪莲 |
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| 作者单位： | 1. 天津理工大学天津市复杂系统控制理论及应用重点实验室,天津,300384
2. 天津理工大学自动化学院,天津,300384 |
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| 摘 要： | 研究利用BP神经网络和RBF神经网络实现光伏发电最大功率点跟踪。通过仿真,神经网络能够快速跟踪到光伏电池的最大功率点。为提高泛化性能,对网络进行串联改进。仿真表明：新网络的泛化性能较之前独立网络有所提高,对测试样本的拟合效果也变得更好。
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| 关 键 词： | BP神经网络 RBF神经网络 光伏 最大功率点跟踪 泛化性能 串联 |
Application of Photovoltaic Power MPPT Based on Neural Network |
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| WANG Yun-liang , CHANG Xue-lian. Application of Photovoltaic Power MPPT Based on Neural Network[J]. Control and Instruments In Chemical Industry, 2013, 40(1): 67-69,89 |
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| Authors: | WANG Yun-liang CHANG Xue-lian |
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| Affiliation: | b(a.Tianjin Key Laboratory for Control Theory & Application in Complicated System; b.School of Automation,Tianjin University of Technology,Tianjin 300384,China) |
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| Abstract: | Making use of BP and RBF neural networks to track photovoltaic power’s maximum power point（MPPT） was investigated and simulated so as to improve generalization performance through the improvement on the network in series.The simulation result proves high generalization performance of the improved network and the better fitting effect of test samples. |
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| Keywords: | BP neural network RBF neural network photovoltaic MPPT generalization performance in series |
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