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信息物理系统在变压器稳压调节控制中的应用研究 被引量:4

Application of cyber physical system on transformer constant voltage modulation control
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摘要 考虑到现有变压器电压调节方法受调压档位限制,且电压调整判断依据为调度部门确定的电压曲线,难以实现灵活、高效、高精度的变压器输出电压稳定调节,提出一种基于信息物理融合系统的稳压动态调节方法,以更好地解决变压器运行过程中出现的电压偏移问题。建立变压器的物理模型与信息模型,通过物理参数与信息属性的相互映射,利用动态链接对物理模型与信息模型在统一仿真平台上进行整合,建立变压器的信息物理融合系统模型,通过信息量对物理量的实时反馈作用机制,控制变压器原副线圈匝数比的自动调节,实现变压器输出稳压。仿真实验结果表明,信息物理融合方法在变压器输出电压稳定调节应用中具有一定的有效性。 Generally,for the limited regulating gear restricts the existing transformer voltage regulation method,and the criterion of voltage regulation is the voltage curve determined by dispatching department,it is difficult to achieve a flexible,efficient,and high precision constant voltage modulation. To better solve the problem of transformer output voltage deviation,this paper proposed a method to dynamically adjust the voltage quality based on cyber physical system. Firstly,it respectively established transformer physical model and information model with MATLAB simulink and enterprise architect(EA). Then according to the mutual mapping between physical parameters and information attributes,with the help of an intermediary platform: Visual Studio,it used the dynamic link library to integrate the physical model and information model on a unified simulation platform. Therefor at last it established the transformer cyber physical system model on the MATLAB platform. Through information real-time feedback mechanism on quantities,it could control the automatic adjustment of inductor winding ratio,and stabilized the transformer output voltage. The simulation results show the effectiveness of cyber physical system on transformer voltage control.
作者 许刚 赵妙颖 Xu Gang;Zhao Miaoying(School of Electrical & Electronic Engineering,North China Electric Power University,Beijing 102206,China)
出处 《计算机应用研究》 CSCD 北大核心 2019年第2期456-460,共5页 Application Research of Computers
基金 中央高校基本科研业务费专项资金资助项目(2017XS013)
关键词 信息物理系统 电力变压器 物理模型 信息模型 稳压调节 优化控制 cyber physical system power transformer physical model information model constant voltage modulation optimized control
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