The prediction of flexible load demand in the UK in 2050

R Dunn; K Shen

doi:10.1109/PESMG.2013.6672457

The prediction of flexible load demand in the UK in 2050

R Dunn, K Shen

Department of Electronic & Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper presents simulations for analyzing the flexible demand in the UK distribution system to support the growth in renewable generation up to 2050. The flexible load is expressed as an effective spinning reserve (SR) provided by the demand side. The growth in six types of flexible load demand up to 2050 is explored. In particular, this paper concentrates on predicting the effects of EV demand, using half-hour resolution, and the vehicle-to-grid (V2G) concept is considered as well. It is demonstrated that the application of the V2G concept improves the flexible demand profile during key stages of the daytime, optimizing the load balancing of the electrical network.

Original language	English
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/PESMG.2013.6672457
Publication status	Published - 2013
Event	2013 IEEE Power and Energy Society General Meeting (PES 2013) - Vancouver, Canada Duration: 21 Jul 2013 → 25 Jul 2013

Conference

Conference	2013 IEEE Power and Energy Society General Meeting (PES 2013)
Country/Territory	Canada
City	Vancouver
Period	21/07/13 → 25/07/13

Keywords

flexible demand
spinning reserve
vehicle-to-grid

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PESMG.2013.6672457

Cite this

@conference{cd1ee91003484bf09488c217255a2e9f,

title = "The prediction of flexible load demand in the UK in 2050",

abstract = "This paper presents simulations for analyzing the flexible demand in the UK distribution system to support the growth in renewable generation up to 2050. The flexible load is expressed as an effective spinning reserve (SR) provided by the demand side. The growth in six types of flexible load demand up to 2050 is explored. In particular, this paper concentrates on predicting the effects of EV demand, using half-hour resolution, and the vehicle-to-grid (V2G) concept is considered as well. It is demonstrated that the application of the V2G concept improves the flexible demand profile during key stages of the daytime, optimizing the load balancing of the electrical network.",

keywords = "flexible demand, spinning reserve, vehicle-to-grid",

author = "R Dunn and K Shen",

year = "2013",

doi = "10.1109/PESMG.2013.6672457",

language = "English",

pages = "1--5",

note = "2013 IEEE Power and Energy Society General Meeting (PES 2013) ; Conference date: 21-07-2013 Through 25-07-2013",

}

TY - CONF

T1 - The prediction of flexible load demand in the UK in 2050

AU - Dunn, R

AU - Shen, K

PY - 2013

Y1 - 2013

N2 - This paper presents simulations for analyzing the flexible demand in the UK distribution system to support the growth in renewable generation up to 2050. The flexible load is expressed as an effective spinning reserve (SR) provided by the demand side. The growth in six types of flexible load demand up to 2050 is explored. In particular, this paper concentrates on predicting the effects of EV demand, using half-hour resolution, and the vehicle-to-grid (V2G) concept is considered as well. It is demonstrated that the application of the V2G concept improves the flexible demand profile during key stages of the daytime, optimizing the load balancing of the electrical network.

AB - This paper presents simulations for analyzing the flexible demand in the UK distribution system to support the growth in renewable generation up to 2050. The flexible load is expressed as an effective spinning reserve (SR) provided by the demand side. The growth in six types of flexible load demand up to 2050 is explored. In particular, this paper concentrates on predicting the effects of EV demand, using half-hour resolution, and the vehicle-to-grid (V2G) concept is considered as well. It is demonstrated that the application of the V2G concept improves the flexible demand profile during key stages of the daytime, optimizing the load balancing of the electrical network.

KW - flexible demand

KW - spinning reserve

KW - vehicle-to-grid

UR - http://pes-gm.org/2013/

UR - http://dx.doi.org/10.1109/PESMG.2013.6672457

U2 - 10.1109/PESMG.2013.6672457

DO - 10.1109/PESMG.2013.6672457

M3 - Paper

SP - 1

EP - 5

T2 - 2013 IEEE Power and Energy Society General Meeting (PES 2013)

Y2 - 21 July 2013 through 25 July 2013

ER -

The prediction of flexible load demand in the UK in 2050

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this