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Levelling of heating and vehicle demand in distribution networks using randomised device control

Levelling of heating and vehicle demand in distribution networks using randomised device control
Levelling of heating and vehicle demand in distribution networks using randomised device control
Rising demand from electrical heating and vehicles will drive major distribution network reinforcement costs unless 24-hour demand profiles can be levelled. We propose a demand response scheme in which the electricity supplier provides a signal to a “smart home” control unit that manages the consumer’s appliances using a novel approach for reconciliation of the consumer’s needs and desires with the incentives supplied by the signal. The control unit allocates demand randomly in timeslots that are acceptable to the consumer but with a probability biased in accordance with the signal provided by the supplier. This behaviour ensures that demand response is predictable and stable and allows demand to be shaped in a way that can satisfy distribution network constraints.
Institution of Engineering and Technology
Boait, Peter
390e2300-a25c-43ea-8170-72d7429f05d0
Ardestani, Babak
c3a9969b-8345-443f-872c-87f3cbde0143
Snape, Richard
cdd373f7-5808-4cb3-b64b-0be0f82374b1
Boait, Peter
390e2300-a25c-43ea-8170-72d7429f05d0
Ardestani, Babak
c3a9969b-8345-443f-872c-87f3cbde0143
Snape, Richard
cdd373f7-5808-4cb3-b64b-0be0f82374b1

Boait, Peter, Ardestani, Babak and Snape, Richard (2013) Levelling of heating and vehicle demand in distribution networks using randomised device control. In Proceedings of the 22nd International Conference and Exhibition on Electricity Distribution (CIRED). Institution of Engineering and Technology.. (doi:10.1049/cp.2013.0579).

Record type: Conference or Workshop Item (Paper)

Abstract

Rising demand from electrical heating and vehicles will drive major distribution network reinforcement costs unless 24-hour demand profiles can be levelled. We propose a demand response scheme in which the electricity supplier provides a signal to a “smart home” control unit that manages the consumer’s appliances using a novel approach for reconciliation of the consumer’s needs and desires with the incentives supplied by the signal. The control unit allocates demand randomly in timeslots that are acceptable to the consumer but with a probability biased in accordance with the signal provided by the supplier. This behaviour ensures that demand response is predictable and stable and allows demand to be shaped in a way that can satisfy distribution network constraints.

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More information

Published date: June 2013
Venue - Dates: conference; se; 2013-06-10; 2013-06-13, Sweden, 2013-06-10 - 2013-06-13
Organisations: Faculty of Engineering and the Environment

Identifiers

Local EPrints ID: 368761
URI: https://eprints.soton.ac.uk/id/eprint/368761
PURE UUID: a767ebdc-3685-4e63-9348-5c1e79871aeb

Catalogue record

Date deposited: 01 Oct 2014 14:08
Last modified: 18 Oct 2018 16:32

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Contributors

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

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