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The research of MPPT based on RBF artificial neural network and genetic algorithm
Author(s): 
Pages: 93-96
Year: Issue:  1
Journal: Renewable Energy Resources

Keyword:  RBF神经网络 遗传算法 最大功率点跟踪 光伏电池;
Abstract: 为了克服传统MPPT方法的一些缺点,更好地实时调整光伏系统的最大功率输出,提出了基于RBF神经网络和遗传算法(GA)的控制技术。采用不依赖函数模型的遗传算法进行全局寻优锁定,训练RBF神经网络的最大功率点参数,由离线训练好的RBF网络对系统进行实时控制。采用Matlab建立的仿真模型验证了所提出方法的可行性和有效性。
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