Procuring load curtailment from local customers under uncertainty

Aleksandar Mijatović, John Moriarty, Jure Vogrinc*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Demand side response (DSR) provides a flexible approach to managing constrained power network assets. This is valuable if future asset utilization is uncertain. However there may be uncertainty over the process of procurement of DSR from customers. In this context we combine probabilistic modelling, simulation and optimization to identify economically optimal procurement policies from heterogeneous customers local to the asset, under chance constraints on the adequacy of the procured DSR. Mathematically this gives rise to a search over permutations, and we provide an illustrative example implementation and case study. This article is part of the themed issue 'Energy management: flexibility, risk and optimization'.

Original languageEnglish
Article number20160311
JournalPHILOSOPHICAL TRANSACTIONS- ROYAL SOCIETY OF LONDON SERIES A MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume375
Issue number2100
DOIs
Publication statusPublished - 10 Jul 2017

Keywords

  • Demand side response
  • Stochastic optimization
  • Uncertainty

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