Distributed Weighted Least-Squares Estimation for Power Networks

被引：5
|
作者：
Marelli, Damian [1 ]
Ninness, Brett [1 ]
Fu, Minyue [1 ,2 ]
机构：
[1] Univ Newcastle, Sch Elect Engn & Comp Sci, Univ Dr, Callaghan, NSW 2308, Australia
[2] Zhejiang Univ, Dept Control Sci & Engn, Hangzhou 310007, Zhejiang, Peoples R China
来源：
IFAC PAPERSONLINE | 2015年 / 48卷 / 28期
关键词：
Distributed parameter's; pararrieter estimation; least-squares estimation; power systems; smart power applications; STATE ESTIMATION;
D O I：
10.1016/j.ifacol.2015.12.188
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents a fully distributed scheme to optimal parameter estimation, with application in multi-area interconnected power systems. In this scheme, each area performs its own local parameter estimation based on low-dimensional local and boundary measurements as well as the estimate of boundary parameters from its neighbors. We show, under certain assumptions, that the distributed estimation scheme provides the same accurate unbiased estimate as the centralized weighted least-squares estimate with finite time convergence. The distributed estimation scheme is robust to communication link failures, delays, and a synchronism of control centers in different areas. A simulation using the IEEE 118-bus system is included to demonstrate the performance. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：562 / 567
页数：6
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