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  • 标题:Distributed Weighted Least-Squares Estimation for Power Networks
  • 本地全文:下载
  • 作者:Damián Marelli ; Brett Ninness ; Minyue Fu
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:28
  • 页码:562-567
  • DOI:10.1016/j.ifacol.2015.12.188
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe paper presents a fully distributed scheme to optimal parameter estimation, withapplication in multi-area interconnected power systems. In this scheme, each area performs itsown local parameter estimation based on low-dimensional local and boundary measurementsas well as the estimate of boundary parameters from its neighbors. We show, under certainassumptions, that the distributed estimation scheme provides the same accurate unbiasedestimate as the centralized weighted least-squares estimate with finite time convergence. Thedistributed estimation scheme is robust to communication link failures, delays, and asynchronismof control centers in different areas. A simulation using the IEEE 118-bus system is included todemonstrate the performance.
  • 关键词:KeywordsDistributed parametersparameter estimationleast-squares estimationpower systemssmart power applications
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