基于递推最小二乘法的多端口外网静态等值参数辨识方法

谢仕炜; 胡志坚; 吴方; 宁月

引用本文:	谢仕炜,胡志坚,吴方,等.基于递推最小二乘法的多端口外网静态等值参数辨识方法[J].电力系统保护与控制,2018,46(3):26-34.
	XIE Shiwei,HU Zhijian,WU Fangjie,et al.Static equivalent parameter identification method of multi-port external network based on recursive least squares algorithm[J].Power System Protection and Control,2018,46(3):26-34

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基于递推最小二乘法的多端口外网静态等值参数辨识方法
谢仕炜¹,胡志坚¹,吴方^劼2,宁月¹
(1.武汉大学电气工程学院，湖北武汉 430072;2.国网北京经济技术研究院，北京102209)

摘要:

为了能够在外部网络信息不足的情况下在线等值系统网络，提出了利用递推最小二乘法实时辨识多端口外网静态等值参数的方法。该方法利用阻断外网后内网的一步式状态估计，在不要求内网支路开断情况下获取优化后的实测边界信息。基于该边界信息，选取多端口扩展电压源网络模型和型等值支路分别对外部网络建模，并采用含有数据纠错功能的两步式递推最小二乘法辨识外网等值参数。IEEE30节点系统和湖南528节点系统的仿真结果验证了该方法的准确性，以及该方法可应用于在线外部网络的静态等值。

关键词: 外网静态等值递推最小二乘法参数辨识状态估计多端口网络

DOI：10.7667/PSPC170140

分类号:

基金项目:高等学校博士学科点专项科研项目 (20110141110032)

Static equivalent parameter identification method of multi-port external network based on recursive least squares algorithm

XIE Shiwei¹,HU Zhijian¹,WU Fangjie²,NING Yue¹

(1. School of Electrical Engineering, Wuhan University, Wuhan 430072, China;2. State Grid Beijing Economic Research Institute, Beijing 102209, China)

Abstract:

In order to estimate the equivalent parameters of the external network online when its external network information is insufficient, this paper proposes a method to real-timely identify the static equivalent parameters of multi-port external network using recursive least squares algorithm. This method utilizes the one-step state estimation of the internal network after blocking the external network, and obtains the actual measurements of optimized boundary information of the internal network branches without outage the branches. Based on the boundary information, the multi-port extended voltage source network model and the π-type equivalent branches are selected to model the external network respectively. The two-step recursive least square method with data correction function is adopted to identify the equivalent parameters of the external network. The simulation results of the IEEE30 system and Hunan 528-node system verify the accuracy of the algorithm and it can be applied to the static equivalence of the online external network. This work is supported by Research Fund for the Doctoral Program of Higher Education of China (No. 20110141110032).

Key words: static equivalent of external network recursive least square algorithm parameter identification state estimation multi-port network

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