Demand response for optimisation of power systems demand due to EV charging load

Peng Zhang; Kejun Qian; Chengke Zhou; Brian Stewart; Donald Hepburn

doi:10.1109/APPEEC.2012.6307523

Demand response for optimisation of power systems demand due to EV charging load

Peng Zhang^*
, Kejun Qian
, Chengke Zhou
, Brian Stewart
, Donald Hepburn

^*Corresponding author for this work

Department of Electrical and Electronic Engineering

Glasgow Caledonian University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

14 Citations (Scopus)

Abstract

This paper presents a novel demand response program for optimising power systems demand due to electric vehicle charging load. Based on a mathematical solution to the problem of power systems demand optimization, a demand response program which includes multiple tariffs for different groups of customers is proposed. This program takes into account consumer behaviour with and without external incentives (e.g. time-varying electricity prices). It also prices electricity over 24 hours according to the wholesale market energy price which reflects the generation marginal cost. A comparative study is carried out to evaluate the performance of the program. Three scenarios are considered, i.e. standard tariff, single-tariff and multi-tariff programs. The results show that the multi-tariff program could help utilities reduce daily cost by 1.5% and help customers save electricity bills by 7% compared to the standard tariff.

Original language	English
Title of host publication	APPEEC 2012 - 2012 Asia-Pacific Power and Energy Engineering Conference, Proceedings
DOIs	https://doi.org/10.1109/APPEEC.2012.6307523
Publication status	Published - 2012
Event	2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012 - Shanghai, China Duration: 27 Mar 2012 → 29 Mar 2012

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

Conference	2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012
Country/Territory	China
City	Shanghai
Period	27/03/12 → 29/03/12

UN SDGs

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

SDG 12 Responsible Consumption and Production

Keywords

demand response
electric vehicle charging load
power systems

Access to Document

10.1109/APPEEC.2012.6307523

Cite this

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title = "Demand response for optimisation of power systems demand due to EV charging load",

abstract = "This paper presents a novel demand response program for optimising power systems demand due to electric vehicle charging load. Based on a mathematical solution to the problem of power systems demand optimization, a demand response program which includes multiple tariffs for different groups of customers is proposed. This program takes into account consumer behaviour with and without external incentives (e.g. time-varying electricity prices). It also prices electricity over 24 hours according to the wholesale market energy price which reflects the generation marginal cost. A comparative study is carried out to evaluate the performance of the program. Three scenarios are considered, i.e. standard tariff, single-tariff and multi-tariff programs. The results show that the multi-tariff program could help utilities reduce daily cost by 1.5\% and help customers save electricity bills by 7\% compared to the standard tariff.",

keywords = "demand response, electric vehicle charging load, power systems",

author = "Peng Zhang and Kejun Qian and Chengke Zhou and Brian Stewart and Donald Hepburn",

year = "2012",

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language = "English",

isbn = "9781457705472",

series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",

booktitle = "APPEEC 2012 - 2012 Asia-Pacific Power and Energy Engineering Conference, Proceedings",

note = "2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012 ; Conference date: 27-03-2012 Through 29-03-2012",

}

Zhang, P, Qian, K, Zhou, C, Stewart, B & Hepburn, D 2012, Demand response for optimisation of power systems demand due to EV charging load. in APPEEC 2012 - 2012 Asia-Pacific Power and Energy Engineering Conference, Proceedings., 6307523, Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012, Shanghai, China, 27/03/12. https://doi.org/10.1109/APPEEC.2012.6307523

Demand response for optimisation of power systems demand due to EV charging load. / Zhang, Peng; Qian, Kejun; Zhou, Chengke et al.
APPEEC 2012 - 2012 Asia-Pacific Power and Energy Engineering Conference, Proceedings. 2012. 6307523 (Asia-Pacific Power and Energy Engineering Conference, APPEEC).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Demand response for optimisation of power systems demand due to EV charging load

AU - Zhang, Peng

AU - Qian, Kejun

AU - Zhou, Chengke

AU - Stewart, Brian

AU - Hepburn, Donald

PY - 2012

Y1 - 2012

N2 - This paper presents a novel demand response program for optimising power systems demand due to electric vehicle charging load. Based on a mathematical solution to the problem of power systems demand optimization, a demand response program which includes multiple tariffs for different groups of customers is proposed. This program takes into account consumer behaviour with and without external incentives (e.g. time-varying electricity prices). It also prices electricity over 24 hours according to the wholesale market energy price which reflects the generation marginal cost. A comparative study is carried out to evaluate the performance of the program. Three scenarios are considered, i.e. standard tariff, single-tariff and multi-tariff programs. The results show that the multi-tariff program could help utilities reduce daily cost by 1.5% and help customers save electricity bills by 7% compared to the standard tariff.

AB - This paper presents a novel demand response program for optimising power systems demand due to electric vehicle charging load. Based on a mathematical solution to the problem of power systems demand optimization, a demand response program which includes multiple tariffs for different groups of customers is proposed. This program takes into account consumer behaviour with and without external incentives (e.g. time-varying electricity prices). It also prices electricity over 24 hours according to the wholesale market energy price which reflects the generation marginal cost. A comparative study is carried out to evaluate the performance of the program. Three scenarios are considered, i.e. standard tariff, single-tariff and multi-tariff programs. The results show that the multi-tariff program could help utilities reduce daily cost by 1.5% and help customers save electricity bills by 7% compared to the standard tariff.

KW - demand response

KW - electric vehicle charging load

KW - power systems

UR - https://www.scopus.com/pages/publications/84870563349

U2 - 10.1109/APPEEC.2012.6307523

DO - 10.1109/APPEEC.2012.6307523

M3 - Conference Proceeding

AN - SCOPUS:84870563349

SN - 9781457705472

T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC

BT - APPEEC 2012 - 2012 Asia-Pacific Power and Energy Engineering Conference, Proceedings

T2 - 2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012

Y2 - 27 March 2012 through 29 March 2012

ER -

Demand response for optimisation of power systems demand due to EV charging load

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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