Forecast of urban EV charging load and smart control concerning uncertainties

Xiaolin Wang; Yongquan Nie; K. W.E. Cheng; Jie Mei

doi:10.1109/EENG.2016.7846358

Forecast of urban EV charging load and smart control concerning uncertainties

Xiaolin Wang
, Yongquan Nie
, K. W.E. Cheng
, Jie Mei

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

Popularizing electric vehicles (EV) can be one of the most effective ways to deal with the ever severe air pollution. However, the accumulated charging power from the increasing integration of EVs could add large pressure to the peak of power grid. In this paper, a novel EV load forecasting model is formulated based on Markov chain, allowing for the stochasticity of user behavior, traffic and weather. The impact of EV integration is assessed in a typical medium voltage (MV) system while the resulting peak load and power loss are mitigated with charging control schemes. The proposed model could help to forecast the future charging demands with probabilistic uncertainties. The smart control schemes shall instruct the aggregator to make optimal charging plan concerning security and efficiency issues.

Original language	English
Title of host publication	2016 International Symposium on Electrical Engineering, ISEE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509058839
DOIs	https://doi.org/10.1109/EENG.2016.7846358
Publication status	Published - 7 Feb 2017
Event	2016 International Symposium on Electrical Engineering, ISEE 2016 - Hong Kong, Hong Kong Duration: 14 Dec 2016 → …

Publication series

Name	2016 International Symposium on Electrical Engineering, ISEE 2016

Conference

Conference	2016 International Symposium on Electrical Engineering, ISEE 2016
Country/Territory	Hong Kong
City	Hong Kong
Period	14/12/16 → …

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Electric vehicle
Markov chain
Smart charging
user behavior

ASJC Scopus subject areas

Control and Optimization
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

More information

10.1109/EENG.2016.7846358

Cite this

Wang, X., Nie, Y., Cheng, K. W. E., & Mei, J. (2017). Forecast of urban EV charging load and smart control concerning uncertainties. In 2016 International Symposium on Electrical Engineering, ISEE 2016 Article 7846358 (2016 International Symposium on Electrical Engineering, ISEE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EENG.2016.7846358

@inproceedings{e02ffc059fa7494d9ba287ed67be77c9,

title = "Forecast of urban EV charging load and smart control concerning uncertainties",

abstract = "Popularizing electric vehicles (EV) can be one of the most effective ways to deal with the ever severe air pollution. However, the accumulated charging power from the increasing integration of EVs could add large pressure to the peak of power grid. In this paper, a novel EV load forecasting model is formulated based on Markov chain, allowing for the stochasticity of user behavior, traffic and weather. The impact of EV integration is assessed in a typical medium voltage (MV) system while the resulting peak load and power loss are mitigated with charging control schemes. The proposed model could help to forecast the future charging demands with probabilistic uncertainties. The smart control schemes shall instruct the aggregator to make optimal charging plan concerning security and efficiency issues.",

keywords = "Electric vehicle, Markov chain, Smart charging, user behavior",

author = "Xiaolin Wang and Yongquan Nie and Cheng, \{K. W.E.\} and Jie Mei",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Symposium on Electrical Engineering, ISEE 2016 ; Conference date: 14-12-2016",

year = "2017",

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day = "7",

doi = "10.1109/EENG.2016.7846358",

language = "English",

series = "2016 International Symposium on Electrical Engineering, ISEE 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Wang, X, Nie, Y, Cheng, KWE & Mei, J 2017, Forecast of urban EV charging load and smart control concerning uncertainties. in 2016 International Symposium on Electrical Engineering, ISEE 2016., 7846358, 2016 International Symposium on Electrical Engineering, ISEE 2016, Institute of Electrical and Electronics Engineers Inc., 2016 International Symposium on Electrical Engineering, ISEE 2016, Hong Kong, Hong Kong, 14/12/16. https://doi.org/10.1109/EENG.2016.7846358

Forecast of urban EV charging load and smart control concerning uncertainties. / Wang, Xiaolin; Nie, Yongquan; Cheng, K. W.E. et al.
2016 International Symposium on Electrical Engineering, ISEE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7846358 (2016 International Symposium on Electrical Engineering, ISEE 2016).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Popularizing electric vehicles (EV) can be one of the most effective ways to deal with the ever severe air pollution. However, the accumulated charging power from the increasing integration of EVs could add large pressure to the peak of power grid. In this paper, a novel EV load forecasting model is formulated based on Markov chain, allowing for the stochasticity of user behavior, traffic and weather. The impact of EV integration is assessed in a typical medium voltage (MV) system while the resulting peak load and power loss are mitigated with charging control schemes. The proposed model could help to forecast the future charging demands with probabilistic uncertainties. The smart control schemes shall instruct the aggregator to make optimal charging plan concerning security and efficiency issues.

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KW - user behavior

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BT - 2016 International Symposium on Electrical Engineering, ISEE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Forecast of urban EV charging load and smart control concerning uncertainties

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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