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Demand flexibility modelling for long term optimal distribution grid planning
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  • Espen Flo Bødal ,
  • Venkatachalam Lakshmanan ,
  • Iver Bakken Sperstad ,
  • Merkebu Zenebe Degefa ,
  • Maxime Hanot ,
  • Hakan Ergun ,
  • Marco Rossi
Espen Flo Bødal
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Venkatachalam Lakshmanan
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Iver Bakken Sperstad
SINTEF Energy Research

Corresponding Author:[email protected]

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Merkebu Zenebe Degefa
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Maxime Hanot
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Hakan Ergun
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Marco Rossi
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Optimization tools for long-term grid planning considering flexibility resources require aggregated flexibility models that are not too computationally demanding or complex. Still, they should capture the operational benefits of flexibility sufficiently accurately for planning purposes. This paper investigates the sufficiency of an aggregated flexibility model for planning tools by comparing it against a detailed flexibility model. Two different constraint formulations, namely based on recovery period and temporal proximity were tested to account for post activation dynamics of flexibility resources. The results show that the recovery period based formulation results in excessive demand reduction. The proximity constraint formulation on the other hand results in realistic activation of flexibility resources which represents an improvement over the base formulation without constraints for post activation dynamics.
Dec 2022Published in IET Generation, Transmission & Distribution volume 16 issue 24 on pages 5002-5014. 10.1049/gtd2.12651