PL EN


Preferences help
enabled [disable] Abstract
Number of results
Journal
2015 | 2 | 1 |
Article title

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

Content
Title variants
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.
Publisher
Journal
Year
Volume
2
Issue
1
Physical description
Dates
accepted
16 - 7 - 2015
online
17 - 9 - 2015
received
20 - 8 - 2014
References
  • ---
  • [1] Ackermann T., Andersson G., Söder L., Distributed generation:A definition, Electr Power Syst Res. 2001; 57(3): 195 – 204.[Crossref]
  • [2] Shaaban M.F., Atwa Y.M., El-Saadany E., DG allocation for benefitmaximization in distribution networks, Power Systems, IEEETransactions on. 2013; 28(2): 639 – 49.[WoS]
  • [3] Calderaro V., Galdi V., Piccolo A., Siano P., Evaluating the benefitsderiving from voltage control capabilities of wind distributedgeneration, Proceedings of the IEEE international conferenceon industrial technology, art; 2009.
  • [4] Atwa Y.M., El-Saadany E., Optimal allocation of ESS in distributionsystemswith a high penetration ofwind energy, Power Systems,IEEE Transactions on. 2010; 25(4): 1815 – 22.
  • [5] Acharya N., Mahat P., Mithulananthan N., An analytical approachfor DG allocation in primary distribution network, InternationalJournal of Electrical Power & Energy Systems. 2006;28(10): 669 – 78.
  • [6] Prommee W., Ongsakul W., Optimal multi-distributed generationplacement by adaptive weight particle swarm optimization,Control, automation and systems, 2008. ICCAS 2008, internationalconference on; IEEE; 2008.
  • [7] Hines P., Blumsack S., A centrality measure for electrical networks,Hawaii international conference on system sciences,proceedings of the 41st annual; IEEE; 2008.
  • [8] Wang Z., Scaglione A., Thomas R.J., Electrical centrality measuresfor electric power grid vulnerability analysis, Decision andcontrol (CDC), 2010 49th IEEE conference on; IEEE; 2010.
  • [9] Pahwa S., Weerasinghe D., Scoglio C., Miller R., A complex networksapproach for sizing and siting of distributed generatorsin the distribution system. North american power symposium(NAPS), 2013; IEEE; 2013.
  • [10] Guo X., Du J., Qi C., Study and application of switching operationof 10 kV lines ring network in urban power distribution network,Electricity distribution (CICED), 2012 china international conferenceon; IEEE; 2012.
  • [11] Chouhan S.,Wan H., Lai H., Feliachi A., Choudhry M., Intelligentreconfiguration of smart distribution network using multi-agenttechnology, Power & energy society general meeting, 2009,PES’09, IEEE; IEEE; 2009.
  • [12] Wang C., Nehrir M.H., Analytical approaches for optimal placementof distributed generation sources in power systems,Power Systems, IEEE Transactions on. 2004; 19(4): 2068 – 76.
  • [13] Cecati C., Citro C., Siano P., Combined operations of renewableenergy systems and responsive demand in a smart grid. SustainableEnergy, IEEE Transactions on. 2011; 2(4): 468 – 76.[WoS]
  • [14] Alemi P., Gharehpetian G., DG allocation using an analyticalmethod to minimize losses and to improve voltage security.Power and energy conference, 2008, PECon 2008, IEEE 2nd international;IEEE; 2008.
  • [15] Atwa Y.M., El-Saadany E., Optimal allocation of ESS in distributionsystemswith a high penetration ofwind energy, Power Systems,IEEE Transactions on. 2010; 25(4): 1815 – 22.
Document Type
Publication order reference
YADDA identifier
bwmeta1.element.-psjd-doi-10_1515_sgrid-2015-0002
Identifiers
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.