Dynamic clustering for imbalance management through local supply and demand balancing

A.N.M.M. Haque, Tafique Hilal Tawab, H.P. Nguyen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

The electrical power system has been facing a fundamental shift of paradigm with the integration of renewable energy sources (RES) and price responsive loads. These changes introduce higher uncertainties and pose implications for both network and market actors. While the network operators face frequent operational challenges in terms of voltage limit violations and network congestions, the market parties need deal with a higher risk of imbalance. In this paper, a dynamic clustering method has been proposed to procure flexibility from the smallscale residential prosumers in order to minimize the imbalance cost. An agent-based coordination mechanism has been adopted to implement a demand response program based on local supply and demand balancing. A bottom-up simulation analysis was performed incorporating 600 residential prosumers. Simulation results indicate that a dynamic and adaptive clustering scheme can efficiently minimize the imabalance cost resulting from wind power forecast errors while maintaining the comfort constraints of the prosumers.
Originele taal-2Engels
Titel2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)
RedacteurenQuan Hao, Anurag Sharma
UitgeverijIEEE Computer Society
Pagina's459-464
Aantal pagina's6
ISBN van elektronische versie978-1-5386-4291-7
DOI's
StatusGepubliceerd - 18 sep 2018
Evenement2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018 - Singapore, Singapore
Duur: 22 mei 201825 mei 2018
http://sites.ieee.org/isgt-asia-2018/

Congres

Congres2018 International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018
Verkorte titelISGTAsia2018
LandSingapore
StadSingapore
Periode22/05/1825/05/18
Internet adres

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