Decentralized state estimation and bad measurement identification: An efficient lagrangian relaxation approach Articles uri icon

publication date

  • November 2011

start page

  • 2500

end page

  • 2508

issue

  • 4

volume

  • 26

International Standard Serial Number (ISSN)

  • 0885-8950

Electronic International Standard Serial Number (EISSN)

  • 1558-0679

abstract

  • This paper proposes a decentralized state-estimation approach that relies on an elaborated instance of the Lagrangian relaxation decomposition technique. The proposed algorithm does not require a central coordinator but just to moderate interchanges of information among neighboring regions, and exploits the structure of the problem to achieve a fast and accurate convergence. Additionally, a decentralized bad measurement identification procedure is developed, which is efficient and robust in terms of identifying bad measurements within regions and in border tie-lines. The accuracy and efficiency of the proposed procedures are assessed by a large number of simulations, which allows drawing statistically sound conclusions.

subjects

  • Statistics

keywords

  • bad measurement identification; decentralization; lagrangian relaxation; state estimation