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Coordinated charging strategies for electric bus fast charging stations

机译:电动公交快速充电站的协调充电策略

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Plug-in electric bus (PEB) is regarded as a promising mode of public transport in the future. This paper proposes two real-time coordinated charging strategies to improve the charging costs of electric bus fast charging station (EBFCS) by responding to the Time-of-Use (TOU) electricity prices. At first, a mixed integer linear programming (MILP) based optimal charging strategy is formulated by considering the constraints of PEB charging needs, continuous charging and distribution transformer capacity. To reduce the computation time, a suboptimal strategy is presented with a two-stage model. At the first stage, an ideal charging load profile is optimized without consideration of continuous charging; at the second stage, the continuous charging loads are scheduled to follow the ideal profile through heuristic method. In case studies, charging costs and load profiles under the distribution transformer are respectively simulated under optimal charging strategy, suboptimal charging strategy and uncoordinated charging scenarios. Simulation results demonstrate that the proposed two strategies reduce both the charging costs and the peak load effectively. Comparison between two strategies indicates that the suboptimal charging strategy improves computation efficiency dramatically with only a little charging cost increment.
机译:插入式电动巴士(PEB)被认为是未来的一种有前途的公共交通工具。本文提出了两种实时协调充电策略,以通过响应使用时间(TOU)的电价来提高电动公交快速充电站(EBFCS)的充电成本。首先,考虑到PEB充电需求,连续充电和配电变压器容量的限制,制定了基于混合整数线性规划(MILP)的最佳充电策略。为了减少计算时间,提出了带有两阶段模型的次优策略。在第一阶段,不考虑连续充电就优化了理想的充电负载曲线;在第二阶段,通过启发式方法将连续充电负荷安排为遵循理想曲线。在案例研究中,分别在最佳充电策略,次优充电策略和不协调充电场景下模拟了配电变压器下的充电成本和负荷曲线。仿真结果表明,所提出的两种策略均能有效降低充电成本和峰值负载。两种策略之间的比较表明,次优计费策略仅以很小的计费成本增量就显着提高了计算效率。

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