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| 基于粒子群算法的BP神经网络光伏电池建模 | |
| 引用本文： | 郭亮,陈维荣,贾俊波,韩明,刘永浩. 基于粒子群算法的BP神经网络光伏电池建模[J]. 电工电能新技术, 2011, 30(2): 84-88 |
| 作者姓名： | 郭亮 陈维荣 贾俊波 韩明 刘永浩 |
| 作者单位： | 1. 西南交通大学电气工程学院,四川,成都,610031;淡马锡理工学院工程学院,新加坡,529757 2. 西南交通大学电气工程学院,四川,成都,610031 3. 淡马锡理工学院工程学院,新加坡,529757;南洋理工大学电力电子工程学院,新加坡,639798 4. 淡马锡理工学院工程学院,新加坡,529757 |
| 基金项目： | 中央高校基本科研业务费专项资金资助 |
| 摘 要： | 针对光伏电池复杂难以建模的非线性特性,本文提出一种基于粒子群算法(PSO)的反向传播(BP)神经网络建模方法.神经网络具有很强的非线性拟合能力,但同时也存在收敛速度慢、容易陷入局部极值、建模精度不高等缺点.本文采用粒子群算法来优化神经网络的内部连接权值,以改善神经网络的性能,并基于这种改进的神经网络构建光伏电池动态模型... |
| 关 键 词： | 光伏电池 神经网络 粒子群算法 |
Modeling of photovoltaic-array based on BP neural networks improved by particle swarm optimization algorithm |
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| GUO Liang,CHEN Wei-rong,JIA Jun-bo,HAN Ming,LIU Yong-hao. Modeling of photovoltaic-array based on BP neural networks improved by particle swarm optimization algorithm[J]. Advanced Technology of Electrical Engineering and Energy, 2011, 30(2): 84-88 | |
| Authors: | GUO Liang CHEN Wei-rong JIA Jun-bo HAN Ming LIU Yong-hao |
| Affiliation: | GUO Liang1,2,CHEN Wei-rong2,JIA Jun-bo2,3,HAN Ming2,LIU Yong-hao2(1.School of Elec.Eng.,Southwest Jiaotong University,Chengdu 610031,China,2.School of Eng.,Temasek Polytechnic,Singapore 529757,3.School of Electrical & Electronic Eng.,Nanyang Technological University,Singapore 639798) |
| Abstract: | In view of serious complexity and nonlinearity of photovoltaic array,its modeling is very difficult,there-fore a Back Propagation(BP) Neural Network model based on Particle Swarm Optimization(PSO) algorithm is proposed.Neural Network has excellent nonlinear fitting ability,but it also has some shortcomings,such as low convergence speed,easy to fall into local optimal value,and low accuracy,etc.PSO algorithm is used to optimize the inner connection weights of Neural Network;therefore the performance of Neura... |
| Keywords: | photovoltaic array neural network particle swarm optimization algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |