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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)
1 Downloads (Pure)


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.

Original languageEnglish
Title of host publication2017 IEEE Manchester PowerTech, Powertech 2017
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781509042371
Publication statusPublished - 13 Jul 2017
Event2017 IEEE PowerTech Manchester - University of Manchester, Manchester, United Kingdom
Duration: 18 Jun 201722 Jun 2017
Conference number: 12


Conference2017 IEEE PowerTech Manchester
Abbreviated titlePowerTech 2017
Country/TerritoryUnited Kingdom
OtherTowards and Beyond Sustainable Energy Systems
Internet address


  • congestion management
  • demand flexibility
  • Demand response
  • distributed energy resources


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