Found an issue? Give us feedback

https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1109/isgt-a...

Conference object . 2018 . Peer-reviewed

Data sources: Crossref

http://ieeexplore.ieee.org/xpl...

Article

Data sources: Microsoft Academic Graph

Select content type to embed

All Research products

arrow_drop_down

<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Optimal Scheduling for Electric Vehicles in a Power System with Distributed Photovoltaic Systems

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 May 2018Publisher:IEEEJournal:2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)

Authors: Lei Wang; Fushuan Wen; Xunyuan Liu; Xizhu Zhang; Yusheng Xue; Bo Zou; Yuan Li;

doi: 10.1109/isgt-asia.2018.8467803

Optimal Scheduling for Electric Vehicles in a Power System with Distributed Photovoltaic Systems

- Summary
- Metrics

Abstract

The uncertain output of a photovoltaic (PV) system imposes a problem for the power system concerned to accommodate the PV generation. The energy-stored capability of electric vehicles (EVs) can be utilized to enhance the capability of accommodating PV generation locally. Given this background, an optimal scheduling strategy for EVs and PVs in dynamic time-of-use (TOU) tariff environment is proposed in this paper. The charging/discharging schedules are optimized by EV users/agents with the objective to minimize the charging cost and maximize the discharging profit. Then, the regional operator adjusts the schedule in order to enhance the usage of the PV power output locally. TOU tariffs are updated at set intervals, and can guide charging/discharging schedules of EVs so as to implement valley filling and peak shaving. Finally, a distribution system with 3 residential communities is employed to demonstrate the effectiveness of the proposed method.

Related Organizations

Zhejiang Ocean University
China (People's Republic of)
Zhejiang Ocean University
China (People's Republic of)
State Grid Corporation of China (China)
China (People's Republic of)
State Grid Corporation of China (China)
China (People's Republic of)

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average