Multi-dimensional energy consumption scheduling for an event-based demand response.

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CIRED 2019 - 2251.pdf (521.88 KB)

Paper number

2251

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Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Rana, Rohit, university of ottawa, Canada
Fattahi, Javad , university of ottawa, Canada
Schriemer, Henry , university of ottawa, Canada

Abstract

Demand Side Management plays an important role in the emerging smart grid by reducing peak load and adapting demand side resources to fluctuating generation. We here demonstrate an approach to optimally scheduling the energy consumption of individual dwellings so as to maximize individual net reward subject to utility-imposed constraints and user preference constraints. We categorize load resources in terms of their flexibility in energy consumption and operating time. Particle swarm optimization is used to solve the optimization problem. Optimization is performed for different types of dwellings and Load. With respect to the unscheduled peak, reductions range from about 1%, for maximum comfort, to about 24%, for minimum comfort. Under CPP DR requests, with respect to TOU pricing, there is effectively no change in the peak under the minimum comfort scenario. As comfort increases, the DR request is able to depress the peak by up to 10% under the maximum comfort scenario. Thus, even under the modest TOU pricing, it is comfort, not CPP, that constrains the DR response

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Publisher

AIM

Date

2019-06-03

Published in

CIRED 2019 Conference

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/772
http://dx.doi.org/10.34890/991

ISSN

2032-9644

ISBN

978-2-9602415-0-1