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 - http://www.scopus.com/inward/record.url?scp=84870563349&partnerID=8YFLogxK
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 -
