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

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Abstract

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
DOIs
Publication statusPublished - 13 Jul 2017
Event12th IEEE PES PowerTech Conference - University of Manchester, Manchester, United Kingdom
Duration: 18 Jun 201722 Jun 2017
Conference number: 12
http://ieee-powertech.org/

Conference

Conference12th IEEE PES PowerTech Conference
Abbreviated titlePowerTech 2017
CountryUnited Kingdom
CityManchester
Period18/06/1722/06/17
OtherTowards and Beyond Sustainable Energy Systems
Internet address

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Keywords

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

Cite this

Vo, T. H., Haque, A. N. M. M., Nguyen, P. H., Kamphuis, I. G., Eijgelaar, M., & Bouwman, I. (2017). A study of congestion management in smart distribution networks based on demand flexibility. In 2017 IEEE Manchester PowerTech, Powertech 2017 [7981142] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/PTC.2017.7981142