NDLI: Regional autonomy control of EV charging with PV/ES systems in active distribution network

Content Provider	IEEE Xplore Digital Library
Author	Chen Zhang Guiping Zhu
Copyright Year	2015
Description	Author affiliation: Electr. Eng. Dept., Tsinghua Univ., Beijing, China (Chen Zhang; Guiping Zhu)
Abstract	A regional autonomy control (RAC) strategy is proposed in this paper in order to solve the integration problem of massive electric vehicle (EV) clusters into future city power grids from a high vision of active distribution network (ADN), minimize the negative impacts on the existing grid, and improve the load profile. The strategy mainly consists of two parts: the power allocation algorithm that dynamically allocates the available capacity for charging to each EV charger according to EV urgency level, and the adjustment mechanism that estimates the available capacity considering the regional differences of daily load characteristics and EV charging behaviors. By implementing the proposed strategy, regional EV charging load can be regulated to alleviate the overloads for the corresponding district and ensure the charging satisfaction as well. Models of business district and residential district were simulated and the obtained results have shown the effectiveness of the strategy.
Starting Page	1
Ending Page	5
File Size	320023
Page Count	5
File Format	PDF
e-ISBN	9781467381321
DOI	10.1109/APPEEC.2015.7381031
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Regional autonomy control Active distribution network Heuristic algorithms Biological system modeling Clustering algorithms EV charging Batteries Resource management Power generation Daily load characteristics
Content Type	Text
Resource Type	Article

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