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基于改进无迹卡尔曼滤波的短线路同杆并架双回线参数辨识
引用本文:杨 韬,罗萍萍,龚锦霞,黄星宇.基于改进无迹卡尔曼滤波的短线路同杆并架双回线参数辨识[J].电力系统保护与控制,2021,49(5):36-45.
作者姓名:杨 韬  罗萍萍  龚锦霞  黄星宇
作者单位:上海电力大学电气工程学院,上海200090;福建水口发电集团有限公司,福建福州350000
基金项目:国家自然科学基金项目资助(51607112)。
摘    要:由于短线路同杆并架双回线通常不采用换位架设,存在线路参数不对称以及参数难以估计的问题。针对该问题,提出了一种基于改进无迹卡尔曼滤波法的短线路同杆并架双回线的参数辨识方法。首先根据短线路同杆并架双回线的特点,建立对应的阻抗模型、导纳模型和量测方程。然后根据量测误差修正量,在线校正量测值和误差方差阵补偿量测噪声。相比于其他参数辨识方法,所提方法考虑了短线路参数不对称性,因此更符合电网实际运行情况,且引入了量测误差修正量能够进一步提高参数辨识精度和稳定性。仿真结果验证了该方法的有效性。

关 键 词:无迹卡尔曼滤波  误差校正  同杆并架双回线  参数辨识
收稿时间:2020/5/11 0:00:00
修稿时间:2020/12/31 0:00:00

Parameter identification of short parallel double-lines based on a modified unscented Kalman filter
YANG Tao,LUO Pingping,GONG Jinxi,HUANG Xingyu.Parameter identification of short parallel double-lines based on a modified unscented Kalman filter[J].Power System Protection and Control,2021,49(5):36-45.
Authors:YANG Tao  LUO Pingping  GONG Jinxi  HUANG Xingyu
Affiliation:(College of Electric Power Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Fujian Shuikou Power Generation Group Co.,Ltd.,Fuzhou 350000,China)
Abstract:Becuase short parallel double-lines lines on the same tower are usually not transposition-erection,there is a problem of asymmetry of the line parameters and difficulty in estimating the parameters.To solve this problem,this paper proposes a parameter identification method based on an improved unscented Kalman filtering method for short parallel double-lines lines on the same tower.First,according to the characteristics of short-circuit parallel transmission lines on the same tower,the corresponding impedance models,admittance models,and measurement equations are established.Then,based on the measurement error corrections,the measurement values and error variance arrays are corrected online to compensate for the measurement noise.Compared with other parameter identification methods,the method takes into account the asymmetry of short line parameters,so it is more in line with the actual operation of the power grid,and the introduction of measurement error correction can further improve the accuracy and stability of parameter identification.Simulation results verify the effectiveness of this method.
Keywords:unscented Kalman filter  error correction  parallel double lines  parameter identification
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