Real-Time Control Strategy for Aggregated Electric Vehicles to Smooth the Fluctuation of Wind-Power Output

Zicong Yu, Ping Gong, Zhi Wang, Yongqiang Zhu, Ruihua Xia and Yuan Tian
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Zicong Yu: State Key Laboratory of Operation and Control of Renewable Energy & Storage System, China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Ping Gong: State Key Laboratory of Operation and Control of Renewable Energy & Storage System, China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Zhi Wang: State Key Laboratory of Operation and Control of Renewable Energy & Storage System, China Electric Power Research Institute Co., Ltd., Beijing 100192, China
Yongqiang Zhu: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Ruihua Xia: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Yuan Tian: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China

Energies, 2020, vol. 13, issue 3, 1-21

Abstract: Electric vehicles (EVs) are flexible demand-side response resources in a power distribution system. Reasonable and orderly control of charging/discharging processes of aggregated EVs can improve their coordination and interaction with the distribution system and ensure its efficient and stable operation. Aiming at the problem that the fluctuation of wind power output may affect the stable operation of distribution system, a real-time control strategy for aggregated EVs to smooth the fluctuation of wind power is proposed. Firstly, considering the dispatchability of EVs, the charging/discharging energy boundary model is established to determine the charging/discharging margin of an EV at each moment. Then, first-order low-pass filtering is used to determine the total dispatching power of aggregated EVs. Finally, the total charging power of aggregated EVs is determined and power allocation is carried out. Simulation results show that the proposed strategy can achieve real-time smoothing for the fluctuation of wind power output while meeting the charging requirements of EVs, and the proposed strategy can not only reduce the fluctuation rate of total load, but also realize peak shaving and valley filling for the distribution system.

Keywords: aggregated electric vehicles; real-time control; wind power; charging/discharging energy boundary model; first-order low-pass filtering (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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