A shrinking-horizon, game-theoretic algorithm for distributed energy generation and storage in the smart grid with wind forecasting

Rodrigo Estrella, Giuseppe Belgioioso, Sergio Grammatico

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)
25 Downloads (Pure)

Abstract

We address the demand-side management (DSM) problem for smart grids where the users have energy generation and storage capabilities, and where the energy price depends on the renewable energy sources and on the aggregate electricity demand. Each user aims at reducing its economic cost by selecting the best energy schedule subject to its local preferences and global restrictions on the aggregate net demand. From a game-theoretic perspective, we model the problem as a generalized Nash equilibrium problem. We propose a shrinking-horizon semi-decentralized DSM algorithm that exploits the most recent forecast on the renewable energy sources to perform real-time adjustments on the energy usage of the users. We investigate the potential of the proposed approach via numerical simulations on realistic scenarios, where we observe improved social welfare compared to day-ahead DSM algorithms.

Original languageEnglish
Pages (from-to)126-131
Number of pages6
JournalIFAC-PapersOnLine
Volume52
Issue number3
DOIs
Publication statusPublished - 1 Jan 2019
Event15th IFAC Symposium on Large Scale Complex Systems LSS 2019 - Delft, Netherlands
Duration: 26 May 201628 May 2016

Keywords

  • Demand-side management
  • Game theory
  • Shrinking-horizon control
  • Smart grid

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