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        Optimal Scheduling of Electric Vehicles Charging in low-Voltage Distribution Systems

        Shaolun Xu,Liang Zhang,Zheng Yan,Donghan Feng,Gang Wang,Xiaobo Zhao 대한전기학회 2016 Journal of Electrical Engineering & Technology Vol.11 No.4

        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.

      • SCIESCOPUSKCI등재

        Optimal Scheduling of Electric Vehicles Charging in low-Voltage Distribution Systems

        Xu, Shaolun,Zhang, Liang,Yan, Zheng,Feng, Donghan,Wang, Gang,Zhao, Xiaobo The Korean Institute of Electrical Engineers 2016 Journal of Electrical Engineering & Technology Vol.11 No.4

        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.

      • Circuit and Control Scheme of Converter-Based Emulation for Control Testing of AC Microgrid

        Jiashi Wang,Ke Ma,Tingting Liu,Siyu Cao,Kejing Liang,Shaolun Xu,Xu Cai 전력전자학회 2023 ICPE(ISPE)논문집 Vol.2023 No.-

        Due to the fast development of renewable energies, the microgrid has been proposed as a novel configuration of modern power grids integrated with a large number of grid-connected converters. To achieve flexible functions in microgrids, various control schemes are implemented in the grid-connected converters and play a vital role in the operation of the microgrid. In this case, the emulation of the microgrid is becoming an emerging need for the testing of AC microgrid controls. However, the conventional emulation approaches are cost and bulk in the emulation of microgrids with complex configurations. In this paper, a novel emulation system is proposed for the test of various AC microgrid control schemes. a low-cost circuit configuration, which includes two face-to-face-connected DC-AC converters and some passive loads, is introduced with the possibility to recreate most of the fundamental control schemes in a typical AC microgrid. Besides, different types of control schemes are implemented in the two converters to flexibly recreate the corresponding control behaviors.

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