| 基于RBF神经网络的直流微电网均流控制策略 |
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| 引用本文： | 高明明,赵晋斌,屈克庆,李芬,毛玲.基于RBF神经网络的直流微电网均流控制策略[J].可再生能源,2020,38(3):396-403. |
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| 作者姓名： | 高明明 赵晋斌 屈克庆 李芬 毛玲 |
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| 作者单位： | 上海电力大学 电气工程学院, 上海 200090;上海电力大学 电气工程学院, 上海 200090;上海电力大学 电气工程学院, 上海 200090;上海电力大学 电气工程学院, 上海 200090;上海电力大学 电气工程学院, 上海 200090 |
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| 基金项目： | 国家自然科学基金资助项目(51777120) |
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| 摘 要： | 针对直流微电网功率分配问题,利用径向基神经网络(RBF)建立了直流变换器的动态等效模型,提出了一种改进的功率分配控制策略。以直流微电网模型为基础,以采集的本地单元变换器电压、电流值为输入,以其他单元变换器的输出电压、电流值为输出作为训练数据。在无需通讯的情况下,利用神经网络只需要本单元信息便可准确预测其它并联单元输出,并应用到本地控制器当中,从而改善功率分配和电能质量。文章利用Matlab/Simulink建立的对比仿真模型,证明了该控制策略在多种情况下都具有很好的控制效果。
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| 关 键 词： | 直流微电网 神经网络 功率分配 预测 |
Current sharing control strategy for DC microgrid based on RBF neural network |
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| Gao Mingming,Zhao Jinbin,Qu Keqing,Li Fen,Mao Ling.Current sharing control strategy for DC microgrid based on RBF neural network[J].Renewable Energy,2020,38(3):396-403. |
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| Authors: | Gao Mingming Zhao Jinbin Qu Keqing Li Fen Mao Ling |
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| Affiliation: | (College of Electrical Engineering,Shanghai University of Electric Power,Shanghai200090,China) |
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| Abstract: | To solve the problem of power allocation in DC microgrid,a dynamic equivalent model of DC converter is established by using radial basis function(RBF) neural network, and an improved power allocation control strategy is proposed. Based on the DC microgrid model,the values of voltage and current of local unit converter are collected as input,while the values of output voltage and current of other units are output as training data. In the case of no communication,the output value of other parallel units can be predicted accurately by using the neural network with only the unit information,and applied to the local controller to improve power distribution and power quality. The comparative simulation model established by MATLAB/Simulink proves that the control strategy has good control effect in many cases. |
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| Keywords: | DC microgrid neural network power distribution prediction |
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