基于CVT宽频传递模型的杂散电容分步辨识方法  被引量:3

Stepwise Identification Method of Stray Capacitance Based on Wideband Transfer Model of CVT

在线阅读下载全文

作  者:刘坤雄 张小庆 赵铭 徐磊 雷妤航 关霄 段建东[2] LIU Kunxiong;ZHANG Xiaoqing;ZHAO Ming;XU Lei;LEI Yuhang;GUAN Xiao;DUAN Jiandong(Power Research Institute of State Grid Shaanxi Electric Power Company Limited,Xi’an 710100,China;School of Electrical Engineering,Xi’an University of Technology,Xi’an 710054,China)

机构地区:[1]国网陕西省电力有限公司电力科学研究院,西安710100 [2]西安理工大学电气工程学院,西安710054

出  处:《高压电器》2023年第12期55-62,74,共9页High Voltage Apparatus

基  金:国家电网有限公司科技创新项目(5700-202132199A-0-0-00)。

摘  要:杂散电容是导致电容式电压互感器(CVT)宽频传递特性呈现复杂变化的关键因素,其参数值无法通过直接测量得到,杂散电容的获取一直是个难点。为此,文中提出一种基于CVT宽频传递模型的杂散电容参数分步辨识方法。在分析CVT谐振机理的基础上,以CVT在各谐振点处电压变比误差最小为目标,利用多目标灰狼优化算法,分两步对多个杂散电容进行参数辨识。实际算例测试表明,所提方法仅需根据CVT谐振变比便可实现宽频传递模型中杂散电容参数辨识,且辨识误差小,能够为建立精确CVT宽频电路模型提供理论指导,进一步为暂态电压的测量奠定基础。Stray capacitance is a key factor causing complex variations in the wideband transfer characteristics of ca-pacitor voltage transformer(CVT).The value of its parameter cannot be obtained by direct measurement and the ac-quisition of the stray capacitance is always a challenge.A stepwise identification method of stray capacitance based on wideband transfer model of CVT is proposed in the paper.The parameter identification of multiple stray capaci-tance is performed in two steps,leveraging the resonance mechanism of CVT and minimizing the voltage ratio error at each resonance point as the objective.A multi-objective gray wolf optimization algorithm has been employed for this purpose.A practical example test shows that the proposed method can achieve the identification of stray capacitance parameters in the wideband transfer model only in accordance with the CVT resonant ratios and has a small identifi-cation error,which providing theoretical guidance for the setting up accurately the wideband circuit model of CVT and further laying the foundation for the measurement of transient voltage.

关 键 词:电容式电压互感器 杂散电容 宽频传递模型 多目标灰狼优化算法 分步辨识 

分 类 号:TM451[电气工程—电器]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象