| 基于数据挖掘的汽轮机主蒸汽调节阀特性建模研究 |
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| 引用本文：曲广浩1，曹鹏飞2?覮，张运生1，吕磊1，王振2.基于数据挖掘的汽轮机主蒸汽调节阀特性建模研究[J].计算技术与自动化,2020,(1):43-47 |
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| 中文摘要:为降低汽轮机主蒸汽调节阀流量特性偏差对一次调频和AGC调整性能的影响，提出了基于生产数据建立阀门实际流量特性模型的算法。根据实际功率的需求通过模型的逆补偿实时调整阀门开度指令。采用最小二乘算法辨识模型参数，并同时基于模型参数符号对特征区间进行自动划分。模型辨识与特征区间划分交替迭代进行，最终获得满意的区间分段和各段模型。实例验证表明，所提出的方法能有效的建立阀门开度指令与实发功率之间的关系，较为准确表征阀门流量特性。 |
| 中文关键词:汽轮机 阀门特性 分段模型 区间自动搜索 |
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| Modeling for Characteristics of the Steam Turbine Regulating Valve Through Data Mining |
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| Abstract:To reduce the impact from the flow characteristic deviation of the steam turbine regulating valve to the performance of the primary frequency control and AGC adjustment，a modeling algorithm is proposed for the actual valve characteristics based on production data. The main advantage of this model is to adjust valve opening instruction according to the power demand in real-time based on the inverse compensation of the model. The least square algorithm is adopted for the identification of the model，in the meanwhile，the characteristic intervals are divided automatically based on the model parameters' signal along with modeling. Model identification and interval partition are conducted alternately and iteratively to obtain satisfied characteristics intervals and linear models. The instance confirms the method for building the relation between valve opening instruction and the power，and representing the valve characteristics accurately. |
| keywords:steam turbine regulating valve characteristics piecewise model interval automatic searching |
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