Evaluation of Communication Network State Estimators for Adaptive Power-Balancing

Research output: Research - peer-reviewConference article in Journal

Abstract

Smart Grid applications are going to reach
the LV grid assets and households in order to efficiently
use the resources in distribution grids. A cost effective
way to connect these devices is to utilize the existing
network infrastructure or to utilize Power-Line Com-
munication (PLC). In this work we have show how
PLC communication can have significant impairments
for load-frequency control operations in the microgrid.
Moreover, we have demonstrate how such poor network
performance can influence the control performance on
a case study of the low voltage grid controller. Further-
more, we have compared two network estimation algorithms which are used for adaptive gain scheduling of
the LVGC controller yielding better quality-of-control.
Close

Details

Smart Grid applications are going to reach
the LV grid assets and households in order to efficiently
use the resources in distribution grids. A cost effective
way to connect these devices is to utilize the existing
network infrastructure or to utilize Power-Line Com-
munication (PLC). In this work we have show how
PLC communication can have significant impairments
for load-frequency control operations in the microgrid.
Moreover, we have demonstrate how such poor network
performance can influence the control performance on
a case study of the low voltage grid controller. Further-
more, we have compared two network estimation algorithms which are used for adaptive gain scheduling of
the LVGC controller yielding better quality-of-control.
Original languageEnglish
JournalComputer Science - Research and Development
Volume32
Issue number1-2
Pages (from-to)247-254
Number of pages8
ISSN1865-2034
DOI
StatePublished - Mar 2017
Publication categoryResearch
Peer-reviewedYes
EventD-A-CH+ Energieformatik 2016 - Klagenfurt, Austria
Duration: 29 Sep 201630 Sep 2016
http://www.energieinformatik2016.org/

Conference

ConferenceD-A-CH+ Energieformatik 2016
CountryAustria
CityKlagenfurt
Period29/09/201630/09/2016
Internet address

    Research areas

  • Networked Control, Smart Grid, Communication Network Performancem, State Estimation
ID: 261435451