Distributed hybrid power state estimation under PMU sampling phase errors

Jian Du, Shaodan Ma, Yik Chung Wu, H. Vincent Poor

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

Phasor measurement units (PMUs) have the advantage of providing direct measurements of power states. However, as the number of PMUs in a power system is limited, the traditional supervisory control and data acquisition (SCADA) system cannot be replaced by the PMU-based system overnight. Therefore, hybrid power state estimation taking advantage of both systems is important. As experiments show that sampling phase errors among PMUs are inevitable in practical deployment, this paper proposes a distributed power state estimation algorithm under PMU phase errors. The proposed distributed algorithm only involves local computations and limited information exchange between neighboring areas, thus alleviating the heavy communication burden compared to the centralized approach. Simulation results show that the performance of the proposed algorithm is very close to that of centralized optimal hybrid state estimates without sampling phase error.

Original languageEnglish (US)
Article number6842674
Pages (from-to)4052-4063
Number of pages12
JournalIEEE Transactions on Signal Processing
Volume62
Issue number16
DOIs
StatePublished - Aug 15 2014

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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