Distributed intelligence : unleashing flexibilities for congestion management in smart distribution networks

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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 centralized 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 discusses a decentralized approach to enable demand response for managing the congestions more efficiently. The approach is validated with simulations for representative Dutch low-voltage (LV) networks.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Sustainable Energy Technologies, 14-16 November 2016, Hanoi, Vietnam
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages407-413
Number of pages7
ISBN (Electronic)978-1-5090-5200-4
ISBN (Print)978-1-5090-5201-1
DOIs
Publication statusPublished - 16 Jan 2017
Event2016 IEEE International Conference on Sustainable Energy Technologies - Melia Hanoi, Hanoi, Viet Nam
Duration: 14 Nov 201616 Nov 2016

Conference

Conference2016 IEEE International Conference on Sustainable Energy Technologies
Abbreviated titleICSET 2016
CountryViet Nam
CityHanoi
Period14/11/1616/11/16

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Keywords

  • Demand response
  • congestion management
  • distributed intelligence
  • flexibility

Cite this

Haque, A. N. M. M., Vo, T. H., & Nguyen, H. P. (2017). Distributed intelligence : unleashing flexibilities for congestion management in smart distribution networks. In 2016 IEEE International Conference on Sustainable Energy Technologies, 14-16 November 2016, Hanoi, Vietnam (pp. 407-413). [7811819] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICSET.2016.7811819