| 基于LS-SVM的电厂过热汽温系统建模 |
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| 引用本文： | 郑震,李益国,相晓鹏. 基于LS-SVM的电厂过热汽温系统建模[J]. 华东电力, 2012, 0(4): 656-659 |
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| 作者姓名： | 郑震 李益国 相晓鹏 |
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| 作者单位： | 东南大学能源与环境学院;山西省电力公司运城供电分公司 |
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| 基金项目： | 国家自然科学基金项目(51076027);教育部科学技术研究重点资助项目(108060)~~ |
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| 摘 要： | 针对电厂过热汽温控制中存在大滞后和强非线性的特点,采用最小二乘支持向量机方法建立过热汽温系统模型并给出基于贝叶斯证据框架的LS-SVM的参数选择方法。在第一推断准则选择模型参数,第二推断准则选择模型超参数,第三推断准则选择模型的核参数。仿真结果表明该模型具有灵活的结构,较快的计算速度以及很好的泛化能力。
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| 关 键 词： | 过热汽温 最小二乘支持向量机 贝叶斯证据框架 建模 |
Modeling of Power Plant Superheated Steam Temperature Based on LS-SVM |
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| ZHENG Zhen,LI Yi-guo,XIANG Xiao-peng. Modeling of Power Plant Superheated Steam Temperature Based on LS-SVM[J]. East China Electric Power, 2012, 0(4): 656-659 |
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| Authors: | ZHENG Zhen LI Yi-guo XIANG Xiao-peng |
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| Affiliation: | 1.School of Energy and Environment,Southeast University,Nanjing 210096,China;2.Yuncheng Power Supply Branch,Shanxi Electric Power Company,Yuncheng 044000,China) |
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| Abstract: | Aiming at large time-varying and strongly nonlinear characteristics in controlling of super-heater temperature in plant,the method of LS-SVM is used to model of super-heater temperature and a parameter selecting method on Bayesian evidence framework is proposed for LS-SVM.On the first level of inference,model parameters were selected and on the second level of inference the hyper-parameters were selected.The kernel parameter were selected on the third level of inference.The result of the simulation shows that this model has flexible structure,rapid calculation speed and good generalization ability. |
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| Keywords: | super-heater temperature least squares support vector machine(LS-SVM) Bayesian evidence framework modeling |
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