| 基于遗传算法的核电站蒸发器高阶水位模型的降阶方法 |
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| 引用本文： | 谷俊杰,米克嵩,徐培培. 基于遗传算法的核电站蒸发器高阶水位模型的降阶方法[J]. 动力工程, 2010, 30(2) |
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| 作者姓名： | 谷俊杰 米克嵩 徐培培 |
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| 作者单位： | 华北电力大学电站设备状态监测与控制教育部重点实验室,保定,071003 |
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| 摘 要： | 针对核电站蒸汽发生器的高阶水位输出模型,提出了次最优降阶算法与遗传算法相结合的模型降阶方法.利用该方法对典型负荷下的核电站蒸发器水位系统模型进行了降阶,并在Matlab平台上对降阶后的模型进行了仿真.结果表明:采用次最优降阶算法与遗传算法相结合的降价方法得到的优化模型比传统降阶方法得到的模型更接近原始模型,利用该方法可以解决高阶线性控制系统模型优化降阶的问题.
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| 关 键 词： | 蒸汽发生器 次最优降阶方法 遗传算法 水位模型 降阶 |
Order Reduction Method of the High Order Nuclear Steam Generator Level Control Model Based on Genetic Algorithm |
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| GU Jun-jie , MI Ke-song , XU Pei-pei. Order Reduction Method of the High Order Nuclear Steam Generator Level Control Model Based on Genetic Algorithm[J]. Power Engineering, 2010, 30(2) |
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| Authors: | GU Jun-jie MI Ke-song XU Pei-pei |
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| Affiliation: | MOE's Key Lab of Condition Monitoring and Control of Power Plant Equipment;North China Electric Power University;Baoding 071003;China |
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| Abstract: | Aiming at the high order steam generator level control model of nuclear power plant,order reduction method of combining sub-optimal algorithm and genetic algorithm was proposed.The order of the steam generator level system model on typical load was reduced by this method,and reduced order model was simulated with Matlab.Results show that the optimal model obtained by the method of combining sub-optimal algorithm and genetic algorithm is closer to the original model than the method of normal reduction method... |
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| Keywords: | steam generator sub-optimal method of order reducing genetic algorithm water-level model order reduction |
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