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摘要:
This study focuses on the potential role of plugin electric vehicles(PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid(V2 G) power and currently available information transfer technology enables utility companies to use this stored energy. The V2 G process is first formulated as an optimal control problem.Then, a two-stage V2 G discharging control scheme is proposed. In the first stage, a desired level for peak shaving and duration for V2 G service are determined off-line based on forecasted loading profile and PEV mobility model. In the second stage, the discharging rates of PEVs are dynamically adjusted in real time by considering the actual grid load and the characteristics of PEVs connected to the grid. The optimal and proposed V2 G algorithms are tested using a real residential distribution transformer and PEV mobility data collected from field with different battery and charger ratings for heuristic user case scenarios. The peak shaving performance is assessed in terms of peak shaving index and peak load reduction. Proposed solution is shown to be competitive with the optimal solution while avoiding high computational loads. The impact of the V2 G management strategy on the system loading at night is also analyzed by implementing an off-line charging scheduling algorithm.
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篇名 A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system
来源期刊 现代电力系统与清洁能源学报(英文) 学科 工学
关键词 Distribution transformer Optimal DISCHARGING control Peak SHAVING PLUG-IN electric vehicles Vehicle-togrid
年,卷(期) 2018,(3) 所属期刊栏目
研究方向 页码范围 555-566
页数 12页 分类号 TM73
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研究主题发展历程
节点文献
Distribution
transformer
Optimal
DISCHARGING
control
Peak
SHAVING
PLUG-IN
electric
vehicles
Vehicle-togrid
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相关学者/机构
期刊影响力
现代电力系统与清洁能源学报(英文)
双月刊
2196-5625
32-1884/TK
No. 19 Chengxin Aven
出版文献量(篇)
386
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0
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0
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