| 基于PSO优化LS-SVM的短期风速预测 |
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| 引用本文： | 龚松建,袁宇浩,王莉,张广明.基于PSO优化LS-SVM的短期风速预测[J].可再生能源,2011,29(2):22-27. |
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| 作者姓名： | 龚松建 袁宇浩 王莉 张广明 |
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| 作者单位： | 南京工业大学自动化与电气工程学院,江苏,南京,211816 |
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| 基金项目： | 江苏省科技厅工业科技支撑计划项目( |
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| 摘 要： | 提出了一种基于粒子群(PSO)算法优化最小二乘支持向量机(LS-SVM)的风电场风速预测方法。以相关性较高的历史风速序列作为输入,建立预测模型,并用粒子群算法优化模型参数。在对未来1 h风速进行预测时,文章所提出的模型比最小二乘支持向量机模型及BP神经网络模型具有较高的预测精度和运算速度。算例结果表明,经粒子群优化的最小二乘支持向量机算法是进行短期风速预测的有效方法。
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| 关 键 词： | 风速预测 粒子群优化 最小二乘支持向量机 神经网络 |
Least squares support vector machine optimized by particle swarm optimization algorithm for short-term wind speed forecasting |
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| GONG Song-jian,YUAN Yu-hao,WANG Li,ZHANG Guang-ming.Least squares support vector machine optimized by particle swarm optimization algorithm for short-term wind speed forecasting[J].Renewable Energy,2011,29(2):22-27. |
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| Authors: | GONG Song-jian YUAN Yu-hao WANG Li ZHANG Guang-ming |
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| Affiliation: | GONG Song-jian,YUAN Yu-hao,WANG Li,ZHANG Guang-ming(Institute of Automation and Electrical Engineering,Nanjing University of Technology,Nanjing 211816,China) |
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| Abstract: | A wind speed forecasting for wind farm based on least squares support vector machine optimized by particle swarm optimization algorithm is proposed.Taking historical wind speed data which have higher correlation as the input,then a forecasting model is built,and by use of particle swarm optimization,the parameters of the model are determined.In the one hour wind speed forecasting of this wind farm,the proposed wind speed model is compared with wind speed model based on least squares support vector machine(L... |
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| Keywords: | wind speed forecasting particle swarm optimization(PSO) least squares support vector machine(LS-SVM) neural network |
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