Samenvatting
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.
Originele taal-2 | Engels |
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Titel | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
Plaats van productie | Brussels |
Uitgeverij | IEEE Computer Society |
Pagina's | 1-5 |
Aantal pagina's | 5 |
ISBN van elektronische versie | 978-1-5386-2212-4 |
ISBN van geprinte versie | 978-1-5386-2213-1 |
DOI's | |
Status | Gepubliceerd - 29 jan. 2018 |
Evenement | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, IL USA, Chicago, Verenigde Staten van Amerika Duur: 16 jul. 2017 → 20 jul. 2017 http://www.pes-gm.org/2017 http://www.pes-gm.org/2017/ |
Congres
Congres | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
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Verkorte titel | PESGM 2017 |
Land/Regio | Verenigde Staten van Amerika |
Stad | Chicago |
Periode | 16/07/17 → 20/07/17 |
Internet adres |