Cristin-resultat-ID: 1821240
Sist endret: 2. juni 2021, 14:28
NVI-rapporteringsår: 2020
Resultat
Vitenskapelig artikkel
2020

A transmission expansion model for dynamic operation of flexible demand

Bidragsytere:
  • Markus Löschenbrand

Tidsskrift

International Journal of Electrical Power & Energy Systems
ISSN 0142-0615
e-ISSN 1879-3517
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2020
Publisert online: 2020
Trykket: 2021
Volum: 124
Artikkelnummer: 106252
Open Access

Importkilder

Scopus-ID: 2-s2.0-85088901226

Beskrivelse Beskrivelse

Tittel

A transmission expansion model for dynamic operation of flexible demand

Sammendrag

This paper proposes a model to include investments in demand flexibility into traditional transmission expansion problems under uncertainty. To do so, a dynamic power flow model is proposed. The model is solved via applying a value function approximation in form of a neural network on the operational problem, allowing to yield a result for the non-convex investment problem. Additionally, robust sets are applied and linearized to deal with uncertainty and decrease computational complexity. In similar manner, Karush Kuhn Tucker conditions are used to transform a tri-level into a bi-level problem. Case studies for systems of varying complexity show the convergence of the algorithm as well as that flexible resources can be used as a cost-effective substitute for transmission lines in grid expansion

Bidragsytere

Markus Löschenbrand

  • Tilknyttet:
    Forfatter
    ved Energisystemer ved SINTEF Energi AS
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