Impact of Intentional Structural Changes in
Distribution System Topology to Wind Turbine
Siting and Sizing: A Complex Network Approach

• Authors: Dulan J. Weerasinghe , Sakshi Pahwa , Ruth Douglas Miller , Caterina Scoglio
• Languages of publication: EN

Abstracts

EN

Integration of renewable distributed generation
(RDG) units in radial distribution systems (RDS) has been
increasingly investigated by researchers since 1995. Aging
of the United States power system infrastructure intensifies
line and equipment failures. Power flow reroutes
which utilize switching mechanisms provide an essential
service by rerouting power to the end-user, thus ensuring
service reliability of the services but changing the
topology of the original network. Our study proposes a
novel analytical method called combined electrical topology
based on electrical centrality to site RDG (wind turbines)
to minimize the impact of intentional structural
changes in a RDS. In order to place RDG units, the magnitude
of the impedance matrix is used to identify electrically
central nodes common to multiple possible configurations
of power systems created by intentional structural
changes. Wind turbine sizes are identified by an exhaustive
search method. Results indicate that the proposed
method can be used to install wind turbines to minimize
the system power loss, and improve voltage profile and
power quality of the RDS, minimizing the effect of intentional
structural changes. Also results indicate that nodes
towards the end of the branches are more electrically central
than other nodes.

Keywords

EN

Combined electrical topology; Impedance matrix; radial distribution system; renewable distributed generation; electrical centrality

• Publisher: De Gruyter Open
• Journal: Smart Grid
• Year: 2015
• Volume: 2
• Issue: 1

Dates

accepted

16 - 7 - 2015

online

17 - 9 - 2015

received

20 - 8 - 2014

Contributors

author

Dulan J. Weerasinghe

• Department of
  Electrical and Computer Engineering, Kansas State University, USA

author

Sakshi Pahwa

• Yantra Services Inc., USA

author

Ruth Douglas Miller

• Department of
  Electrical and Computer Engineering, Kansas State University, USA

author

Caterina Scoglio

• Department of
  Electrical and Computer Engineering, Kansas State University, USA

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Identifiers

DOI

10.1515/sgrid-2015-0002