Distributed coordination of deferrable loads

A real-time market with self-fulfilling forecasts

Journal Article (2020)
Author(s)

Hazem Abdelghany (Arab Academy for Science, Technology and Maritime Transport, TU Delft - Intelligent Electrical Power Grids)

Simon H. Tindemans (TU Delft - Intelligent Electrical Power Grids)

MM de Weerdt (TU Delft - Algorithmics)

Han la Poutré (Centrum Wiskunde & Informatica (CWI), TU Delft - Intelligent Electrical Power Grids)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2020 H.A.M.F. Abdelghany, Simon H. Tindemans, M.M. de Weerdt, J.A. la Poutré
DOI related publication
https://doi.org/10.1016/j.segan.2020.100364
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 H.A.M.F. Abdelghany, Simon H. Tindemans, M.M. de Weerdt, J.A. la Poutré
Research Group
Intelligent Electrical Power Grids
Volume number
23
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Increased uptake of variable renewable generation and further electrification of energy demand necessitate efficient coordination of flexible demand resources to make most efficient use of power system assets. Flexible electrical loads are typically small, numerous, heterogeneous and owned by self-interested agents. Considering the multi-temporal nature of flexibility and the uncertainty involved, scheduling them is a complex task. This paper proposes a forecast-mediated real-time market-based control approach (F-MBC) for cost minimizing coordination of uninterruptible time-shiftable (i.e. deferrable) loads. F-MBC is scalable, privacy preserving, and useable by device agents with small computational power. Moreover, F-MBC is proven to overcome the challenge of mutually conflicting decisions from equivalent devices. Simulations in a simplified but challenging case study show that F-MBC produces near-optimal behaviour over multiple time-steps.