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  • 标题:Power System State Estimation using Dispersed Particle Filter
  • 本地全文:下载
  • 作者:Piotr Kozierski ; Marcin Lis ; Dariusz Horla
  • 期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
  • 印刷版ISSN:1897-8649
  • 电子版ISSN:2080-2145
  • 出版年度:2014
  • 卷号:8
  • 期号:3
  • 页码:35
  • DOI:10.14313/JAMRIS_3-2014/25
  • 出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
  • 摘要:The paper presents a new approach to parƟcle filtering,i.e. Dispersed ParƟcle Filter. This algorithm has been appliedto the power system, but it can also be used in othertransmission networks. In this approach, the whole networkmust be divided into smaller parts. As it has beenshown, use of Dispersed ParƟcle Filter improves the qualityof the state esƟmaƟon, compared to a simple parƟclefilter. It has been also checked that communicaƟon betweensubsystems improves the obtained results. It hasbeen checked by means of simulaƟon based on model,which has been created on the basis of knowledge aboutpracƟcally funcƟoning power systems
  • 关键词:parƟcle filter; power system; state observer;state esƟmaƟon; dispersed esƟmaƟon
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