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논문 기본 정보

자료유형
학술저널
저자정보
Shaolun Xu (Shanghai Jiao Tong University) Liang Zhang (University of Minnesota) Zheng Yan (Shanghai Jiao Tong University) Donghan Feng (Dept. of Electrical Engineering) Gang Wang (University of Minnesota) Xiaobo Zhao (Shanghai Jiao Tong University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.11 No.4
발행연도
2016.7
수록면
810 - 819 (10page)

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초록· 키워드

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Uncoordinated charging of large-scale electric vehicles (EVs) will have a negative impact on the secure and economic operation of the power system, especially at the distribution level. Given that the charging load of EVs can be controlled to some extent, research on the optimal charging control of EVs has been extensively carried out. In this paper, two possible smart charging scenarios in China are studied: centralized optimal charging operated by an aggregator and decentralized optimal charging managed by individual users. Under the assumption that the aggregators and individual users only concern the economic benefits, new load peaks will arise under time of use (TOU) pricing which is extensively employed in China. To solve this problem, a simple incentive mechanism is proposed for centralized optimal charging while a rolling-update pricing scheme is devised for decentralized optimal charging. The original optimal charging models are modified to account for the developed schemes. Simulated tests corroborate the efficacy of optimal scheduling for charging EVs in various scenarios.

목차

Abstract
1. Introduction
2. Optimal Charging Control Architectures
3. Centralized Optimal Charging
4. Decentralized Optimal Charging
5. Case Studies
6. Conclusion
References

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