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Consumer targeting in residential demand response programmes

Consumer targeting in residential demand response programmes
Consumer targeting in residential demand response programmes
Demand response refers to a family of techniques that are available to electricity suppliers to aid with balancing supply and demand, typically by calling on consumers of electricity to reduce consumption during periods of high demand. In this paper we propose a novel approach to residential demand response, in which incentives are targeted at the subset of consumers who are both relevant (likely to use shiftable appliances, such as washing machines and dishwashers during peak hours) and willing to reduce (likely to react positively to a reduction request from their electricity supplier). To this end, we present a mixed integer programming solution that finds the optimal subset of consumers to target with incentives. We show that our solution is capable of significantly reducing supplier costs and smoothing peaks in electricity demand by targeting only a subset of the consumer pool.
Holyhead, James C
02bdae13-c801-4d14-93db-ee148549811c
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Holyhead, James C
02bdae13-c801-4d14-93db-ee148549811c
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc

Holyhead, James C, Ramchurn, Sarvapali D. and Rogers, Alex (2015) Consumer targeting in residential demand response programmes. Proceedings of the ACM International Conference on Future Energy Systems, India. 14 - 17 Jul 2015. (doi:10.1145/2768510.2768531).

Record type: Conference or Workshop Item (Paper)

Abstract

Demand response refers to a family of techniques that are available to electricity suppliers to aid with balancing supply and demand, typically by calling on consumers of electricity to reduce consumption during periods of high demand. In this paper we propose a novel approach to residential demand response, in which incentives are targeted at the subset of consumers who are both relevant (likely to use shiftable appliances, such as washing machines and dishwashers during peak hours) and willing to reduce (likely to react positively to a reduction request from their electricity supplier). To this end, we present a mixed integer programming solution that finds the optimal subset of consumers to target with incentives. We show that our solution is capable of significantly reducing supplier costs and smoothing peaks in electricity demand by targeting only a subset of the consumer pool.

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More information

Accepted/In Press date: 1 April 2015
Published date: 2015
Venue - Dates: Proceedings of the ACM International Conference on Future Energy Systems, India, 2015-07-14 - 2015-07-17
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 377495
URI: https://eprints.soton.ac.uk/id/eprint/377495
PURE UUID: 63845c1c-77c3-46d5-8113-f974e949a590
ORCID for Sarvapali D. Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 15 Jun 2015 16:11
Last modified: 01 Oct 2019 00:48

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