@inproceedings{1e590b8a517c459d9c986638bc590ed4,
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",
doi = "10.1109/APPEEC.2012.6307523",
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",
}
