Using Price-Based Signals to Control Plug-in Electric Vehicle Fleet Charging
Using Price-Based Signals to Control Plug-in Electric Vehicle Fleet Charging
复制标题
DOI：
10.1109/tsg.2014.2301931
复制
发表时间：
2014-01
影响因子：
9.6
通讯作者：
Xiaomin Xi;R. Sioshansi
中科院分区：
文献类型：
--
作者：
Xiaomin Xi;R. Sioshansi
我们研究分散式插电式电动汽车（PEV）充电控制，其中系统运营商（SO）将基于价格的信号发送到负载聚合器（LA），以优化PEV车队的充电。我们研究了一个定价方案，传达价格和数量信息的LA，并将其与一个更简单的价格计划进行比较。我们证明了基于价格/数量的机制可以产生一个社会最优的解决方案。我们还研究了几个数值案例研究，以证明价格/数量为基础的计划的上级性能。价格/数量计划产生几乎相同的PEV充电成本相比，社会最优，而价格唯一的计划是高度敏感的正则化惩罚项，需要确保收敛的选择。我们还表明，时间来计算一个均衡的价格机制可以高达两个数量级以上的价格/数量计划，可以涉及24倍的SO和LA之间的信息交换。
We study decentralized plug-in electric vehicle (PEV) charging control, wherein the system operator (SO) sends price-based signals to a load aggregator (LA) that optimizes charging of a PEV fleet. We study a pricing scheme that conveys price and quantity information to the LA and compare it to a simpler price-only scheme. We prove that the price/quantity-based mechanism can yield a socially optimal solution. We also examine several numerical case studies to demonstrate the superior performance of the price/quantity-based scheme. The price/quantity scheme yields nearly identical PEV charging costs compared to the social optima, whereas the price-only scheme is highly sensitive to the choice of a regularization penalty term that is needed to ensure convergence. We also show that the time to compute an equilibrium with the price-only mechanism can be up to two orders of magnitude greater than with the price/quantity scheme and can involve 24 times more information exchange between the SO and LA.