| 应用最小二乘支持向量机和混合遗传算法的制粉系统优化控制 |
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| 引用本文： | 刘定平,肖蔚然. 应用最小二乘支持向量机和混合遗传算法的制粉系统优化控制[J]. 动力工程, 2007, 27(5): 728-731,747 |
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| 作者姓名： | 刘定平 肖蔚然 |
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| 作者单位： | 华南理工大学,广州,510640 |
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| 摘 要： | 利用最小二乘支持向量机(LSSVM)对直吹式中速磨制粉系统进行建模,然后采用混合遗传算法(HGA)对模型寻优,以获得不同工况下制粉系统的最佳运行方式.在某电厂200 MW机组上进行了现场试验.结果表明:该方法具有较高的可靠性和实用性,可用以指导运行人员进行制粉系统的优化调整.
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| 关 键 词： | 自动控制技术 火力发电厂 直吹式制粉系统 中速磨 最小二乘支持向量机 混合遗传算法 |
| 文章编号： | 1000-6761（2007）05-728-04 |
| 修稿时间： | 2006-10-152007-03-31 |
Optimizing Control of Pulverizing System Based on Least Square Supported Vector Machine and Hybrid Genetic Algorithms |
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| LIU Ding-ping,XIAO Wei-ran. Optimizing Control of Pulverizing System Based on Least Square Supported Vector Machine and Hybrid Genetic Algorithms[J]. Power Engineering, 2007, 27(5): 728-731,747 |
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| Authors: | LIU Ding-ping XIAO Wei-ran |
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| Affiliation: | School of Electric Power, South China University of Science and Technology, Guangzhou 510640, China |
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| Abstract: | Using least square supported vector machines,a model of direct-firingpulverizing systems with medial speed mills has been built,and then optimized with the help of hybrid genetic algorithm,so that the pulverizing system may stay in optimal operating mode even under different working conditions.On-site tests,conducted on a certain power plant's 200 MW unit,prove the method to be highly reliable and practicable.This may serve as a reference for operators,trying to optimize pulverizing systems. |
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| Keywords: | automatic control technique fossil-fired power plant direct-firing pulverizing system medial-speed mill least square supported vector machine hybrid genetic algorithm |
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