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Leveraging Sparsity in Distribution Grids: System Identification and Harmonic State Estimation

Published: 25 January 2019 Publication History

Abstract

Power distribution grids are sparse networks. The admittance matrix of a (radial or non-radial) power distribution grid is sparse, safety-critical events are relatively sparse at any given time compared with the number of nodes, and loads that produce significant harmonics at a specific order are also sparse. In this highlight talk, we define different types of sparsity in unbalanced three-phase power distribution systems, and explain how sparsity can be leveraged to address three increasingly important problems:

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Cited By

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  • (2020)Multi-Harmonic Source Localization Based on Sparse Component Analysis and Minimum Conditional EntropyEntropy10.3390/e2201006522:1(65)Online publication date: 3-Jan-2020

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 46, Issue 3
December 2018
174 pages
ISSN:0163-5999
DOI:10.1145/3308897
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 January 2019
Published in SIGMETRICS Volume 46, Issue 3

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Author Tags

  1. event detection
  2. phasormeasurement units
  3. power quality
  4. smart grid
  5. system identification

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  • (2020)Multi-Harmonic Source Localization Based on Sparse Component Analysis and Minimum Conditional EntropyEntropy10.3390/e2201006522:1(65)Online publication date: 3-Jan-2020

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