Smart real-time multi-node congestion management in active distribution networks

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

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

Widespread roll-out of different types of distributed energy resources (DERs) has been introducing capacity challenges in the electrical power distribution networks. Different types of demand response (DR) mechanisms have been developed in order to tackle such problems and defer expensive and unexpected network reinforcement. While the existing centralized mechanisms ensure reliable and secure grid operations, distributed intelligence has also been growing in popularity due to its ability of solving complex problems with minimum exchange of information. This paper discusses a decentralized approach to enable demand response methodologies for managing congestions involving multiple actors more efficiently. The proposed approach is validated with simulations for representative Dutch low-voltage (LV) networks.

Original languageEnglish
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Place of PublicationBrussels
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Electronic)978-1-5386-2212-4
ISBN (Print)978-1-5386-2213-1
DOIs
Publication statusPublished - 29 Jan 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, IL USA, Chicago, United States
Duration: 16 Jul 201720 Jul 2017
http://www.pes-gm.org/2017
http://www.pes-gm.org/2017/

Conference

Conference2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Abbreviated titlePESGM 2017
CountryUnited States
CityChicago
Period16/07/1720/07/17
Internet address

Fingerprint

Energy resources
Electric power distribution
Reinforcement
Electric potential

Keywords

  • Congestion management
  • Demand response
  • Flexibility
  • PowerMatcher

Cite this

Haque, A. N. M. M., Vo, T. H., Nguyen, P. H., Slootweg, J. G., & Bliek, F. W. (2018). Smart real-time multi-node congestion management in active distribution networks. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 (pp. 1-5). Brussels: IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8274295
Haque, A.N.M.M. ; Vo, T.H. ; Nguyen, P.H. ; Slootweg, J.G. ; Bliek, F.W. / Smart real-time multi-node congestion management in active distribution networks. 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Brussels : IEEE Computer Society, 2018. pp. 1-5
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Haque, ANMM, Vo, TH, Nguyen, PH, Slootweg, JG & Bliek, FW 2018, Smart real-time multi-node congestion management in active distribution networks. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Computer Society, Brussels, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 16/07/17. https://doi.org/10.1109/PESGM.2017.8274295

Smart real-time multi-node congestion management in active distribution networks. / Haque, A.N.M.M.; Vo, T.H.; Nguyen, P.H.; Slootweg, J.G.; Bliek, F.W.

2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Brussels : IEEE Computer Society, 2018. p. 1-5.

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

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Haque ANMM, Vo TH, Nguyen PH, Slootweg JG, Bliek FW. Smart real-time multi-node congestion management in active distribution networks. In 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Brussels: IEEE Computer Society. 2018. p. 1-5 https://doi.org/10.1109/PESGM.2017.8274295