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Day-Ahead Demand Management in Multi-Supplier Power Grid Under Transmission Constraints

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Abstract

Ever-increasing energy consumption and growing penetration of renewable energy sources stimulate the development of new power grid models and architectures. Since the decentralization of power grids raises the unreliability of power supply, it is crucial to switch to a production-oriented consumption in order to provide the stability of the grid. In this work, we describe a multi-supplier power grid model with day-ahead time span planning. We formulate and study a set of consumer cost minimization problems under flow distribution constraints. Finally, we consider an example illustrating the applicability of this model.

Keywords

  • Transmission Constraints
  • Power Grid Structure
  • Contraction Profile
  • Transmission Cost
  • Conventional Energy Generation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Fig. 16.1

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Acknowledgements

The author was jointly supported by a grant from the Russian Science Foundation (No. 17-11-01079 — Optimal Behavior in Conflict-Controlled Systems).

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Correspondence to Alexander Yu. Krylatov .

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Popov, I.V., Krylatov, A.Y., Zakharov, V.V., Lezhnina, E.A. (2019). Day-Ahead Demand Management in Multi-Supplier Power Grid Under Transmission Constraints. In: Song, J., Li, H., Coupechoux, M. (eds) Game Theory for Networking Applications. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-93058-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-93058-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93057-2

  • Online ISBN: 978-3-319-93058-9

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