A study of congestion management in smart distribution networks based on demand flexibility

T. H. Vo, A. N.M.M. Haque, P. H. Nguyen, I. G. Kamphuis, M. Eijgelaar, I. Bouwman

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

6 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

Electrical distribution networks worldwide are facing frequent capacity challenges due to the widespread roll out of various distributed energy resources (DERs). A number of demand response (DR) mechanisms have been developed in order to circumvent the problems and enhance the flexibility of the distribution network. While the existing centralised control system remains its crucial role for reliable and secure grid operation, distributed intelligence is a complement technology with a focus on dividing the control task into a number of simpler problems and solve them with minimum exchange of information. Based on the recent developments of distributed intelligence, this paper investigates a set of different congestion management approaches to effectively regulate the overloading issue of transformers or conductors. The study is validated with simulations for representative Dutch low-voltage (LV) networks.

Originele taal-2Engels
Titel2017 IEEE Manchester PowerTech, Powertech 2017
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie9781509042371
DOI's
StatusGepubliceerd - 13 jul 2017
Evenement12th IEEE PES PowerTech Conference - University of Manchester, Manchester, Verenigd Koninkrijk
Duur: 18 jun 201722 jun 2017
Congresnummer: 12
http://ieee-powertech.org/

Congres

Congres12th IEEE PES PowerTech Conference
Verkorte titelPowerTech 2017
LandVerenigd Koninkrijk
StadManchester
Periode18/06/1722/06/17
Internet adres

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