Decentralized PMU Placements in a Dynamic Programming Approach

Xian Chang Guo, Chung Shou Liao, Chia Chi Chu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In order to fit in latency requirements for wide-area monitoring, protect and control (WAMPAC) applications, a decentralized architecture collaborated with measurement systems and cyber-physical systems is considered. To this end, a tree decomposition (TD) technique is utilized to decompose power grids. Many difficult problems can thus be solved by knowing local information only and/or exchanged knowledge with external regions. System-wide observability are geometrically analyzed by studying the relative power dominating set (PDS) problem in graph theory under the decentralized architecture. The hardness of subproblems determined by the maximal tree node size of a TD, denoted as parameter k, is also discussed. Extensive simulations are conducted on several IEEE testbed systems to demonstrate the effectiveness of the proposed formulation.

Original languageEnglish
Title of host publication2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538645390
DOIs
StatePublished - 09 2019
Externally publishedYes
Event2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 - Baltimore, United States
Duration: 29 09 201903 10 2019

Publication series

Name2019 IEEE Industry Applications Society Annual Meeting, IAS 2019

Conference

Conference2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Country/TerritoryUnited States
CityBaltimore
Period29/09/1903/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • PMU placement
  • dynamic programming
  • observability
  • power dominating set(PDS)
  • tree decomposition

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