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Accommodating renewable generation through an aggregator-focused method for inducing demand side response from electricity consumers

Accommodating renewable generation through an aggregator-focused method for inducing demand side response from electricity consumers
Accommodating renewable generation through an aggregator-focused method for inducing demand side response from electricity consumers
The ability to influence electricity demand from domestic and small business consumers, so that it can be matched to intermittent renewable generation and distribution network constraints is a key capability of a smart grid. This involves signalling to consumers to indicate when electricity use is desirable or undesirable. However, simply signalling a time-dependent price does not always achieve the required demand response and can result in unstable system behaviour. The authors propose a demand response scheme, in which an aggregator mediates between the consumer and the market and provides a signal to a ‘smart home’ control unit that manages the consumer's appliances, using a novel method for reconciliation of the consumer's needs and preferences with the incentives supplied by the signal. This method involves random allocation of demand within timeslots acceptable to the consumer with a bias depending on the signal provided. By simulating a population of domestic consumers using heat pumps and electric vehicles with properties consistent with UK national statistics, the authors show the method allows total demand to be predicted and shaped in a way that can simultaneously match renewable generation and satisfy network constraints, leading to benefits from reduced use of peaking plant and avoided network reinforcement.
smart power grids, distribution networks
1752-1416
689-699
Boait, Peter
390e2300-a25c-43ea-8170-72d7429f05d0
Mahdavi Ardestani, Babak
a6266de9-a846-45b9-abc7-69fb0ca2d910
Snape, Richard
cdd373f7-5808-4cb3-b64b-0be0f82374b1
Boait, Peter
390e2300-a25c-43ea-8170-72d7429f05d0
Mahdavi Ardestani, Babak
a6266de9-a846-45b9-abc7-69fb0ca2d910
Snape, Richard
cdd373f7-5808-4cb3-b64b-0be0f82374b1

Boait, Peter, Mahdavi Ardestani, Babak and Snape, Richard (2013) Accommodating renewable generation through an aggregator-focused method for inducing demand side response from electricity consumers. IET Renewable Power Generation, 7 (6), 689-699. (doi:10.1049/iet-rpg.2012.0229).

Record type: Article

Abstract

The ability to influence electricity demand from domestic and small business consumers, so that it can be matched to intermittent renewable generation and distribution network constraints is a key capability of a smart grid. This involves signalling to consumers to indicate when electricity use is desirable or undesirable. However, simply signalling a time-dependent price does not always achieve the required demand response and can result in unstable system behaviour. The authors propose a demand response scheme, in which an aggregator mediates between the consumer and the market and provides a signal to a ‘smart home’ control unit that manages the consumer's appliances, using a novel method for reconciliation of the consumer's needs and preferences with the incentives supplied by the signal. This method involves random allocation of demand within timeslots acceptable to the consumer with a bias depending on the signal provided. By simulating a population of domestic consumers using heat pumps and electric vehicles with properties consistent with UK national statistics, the authors show the method allows total demand to be predicted and shaped in a way that can simultaneously match renewable generation and satisfy network constraints, leading to benefits from reduced use of peaking plant and avoided network reinforcement.

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More information

Published date: November 2013
Keywords: smart power grids, distribution networks
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 368692
URI: http://eprints.soton.ac.uk/id/eprint/368692
ISSN: 1752-1416
PURE UUID: c09c244a-e3bb-4e08-b781-54bc68cce60d

Catalogue record

Date deposited: 22 Sep 2014 12:33
Last modified: 15 Jul 2019 21:45

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Contributors

Author: Peter Boait
Author: Babak Mahdavi Ardestani
Author: Richard Snape

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