| 基于遗传算法的超超临界机组过热器动态模型参数辨识 |
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| 引用本文： | 胡文凯,方彦军,李鑫,熊扬恒.基于遗传算法的超超临界机组过热器动态模型参数辨识[J].热力发电,2011,40(11). |
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| 作者姓名： | 胡文凯 方彦军 李鑫 熊扬恒 |
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| 作者单位： | 武汉大学动力与机械学院,湖北武汉,430072 |
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| 摘 要： | 针对超超临界机组过热器MISO动态模型参数辨识问题,提出了一种基于遗传算法的模型参数辨识方法。将遗传算子改进为排序保优选择、非均匀线性交叉和高斯变异,引入均匀设计方法构造初始种群,采用Sigmoid函数适应性调整交叉和变异概率,以提高遗传算法的收敛精度和运算速度。对海门电厂超超临界机组运行数据进行参数辨识仿真的结果表明,该改进遗传算法具有较好的运算性能,预测的输出变化与主蒸汽温度实际变化基本一致,能够反映高温过热器的动态特性。
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| 关 键 词： | 超超临界机组 过热器 主蒸汽温度 遗传算法 模型参数辨识 |
DYNAMIC MODEL PARAMETER IDENTIFICATION FOR SUPERHEATER OF ULTRA-SUPERCRITICAL UNITS BASED ON GENETIC ALGORITHM |
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| HU Wenkai,FANG Yanjun,LI Xin,XIONG Yangheng.DYNAMIC MODEL PARAMETER IDENTIFICATION FOR SUPERHEATER OF ULTRA-SUPERCRITICAL UNITS BASED ON GENETIC ALGORITHM[J].Thermal Power Generation,2011,40(11). |
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| Authors: | HU Wenkai FANG Yanjun LI Xin XIONG Yangheng |
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| Affiliation: | HU Wenkai,FANG Yanjun,LI Xin,XIONG Yangheng Department of Automation,Wuhan University,Wuhan 430072,Hubei Province,PRC |
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| Abstract: | Directing against the MISO dynamic model of superheater for ultra-supercritical units,a model parameter identification method based on genetic algorithm(GA) has been put forward.The genetic operators have been improved as displacement sequence with ensuring quality selection,non-uniform linear crossover,and Gaussian mutation,the uniform design method is used to construct the initial sort group.The adaptability of Sigmoid function is used to adjust the probabilities of crossover and mutation,so as to enhance... |
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| Keywords: | ultra-supercritical unit superheater main steam temperature genetic algorithm model parameter identification |
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