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2015 | 2 | 1 |
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
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.
Wydawca

Czasopismo
Rocznik
Tom
2
Numer
1
Opis fizyczny
Daty
otrzymano
2014-08-20
zaakceptowano
2015-07-16
online
2015-09-17
Twórcy
  • Department of
    Electrical and Computer Engineering, Kansas State University, USA
autor
  • Yantra Services Inc., USA
  • Department of
    Electrical and Computer Engineering, Kansas State University, USA
  • Department of
    Electrical and Computer Engineering, Kansas State University, USA
Bibliografia
  • ---
  • [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.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.-psjd-doi-10_1515_sgrid-2015-0002
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