Clustering of power networks: An information-theoretic perspective

Mayank Baranwal, Srinivasa M. Salapaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution


An electrical power transmission system can be represented as a network with nodes and links representing buses and impedance between the buses, respectively. Decomposing a large interconnected power network into smaller loosely-coupled groups facilitates easy and flexible management of the power transmission systems by allowing secondary voltage control at regional levels and controlled islanding that aims to prevent the spreading of large-area blackouts. In this paper, we address the problem of clustering a power network into prespecified number of zones that are weakly coupled electrically by using an information-theoretic clustering algorithm. A notion of electrical similarity between electrical buses is developed, where any two buses are considered similar, if reactive perturbations at these buses have a similar effect on the entire network. A thorough theoretical justification of the use of the proposed clustering approach is provided along with the results of our methodology for IEEE test systems.

Original languageEnglish (US)
Title of host publication2017 American Control Conference, ACC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509059928
StatePublished - Jun 29 2017
Event2017 American Control Conference, ACC 2017 - Seattle, United States
Duration: May 24 2017May 26 2017

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2017 American Control Conference, ACC 2017
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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