Planning and control of Electric Vehicles using dynamic energy capacity models
Planning and control of Electric Vehicles using dynamic energy capacity models
复制标题
使用动态能量容量模型规划和控制电动汽车
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
G. Rizzoni
中科院分区：
文献类型：
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作者：
Jianzhe Liu;Sen Li;Wei Zhang;J. Mathieu;G. Rizzoni
本文主要研究了需求响应应用中大量插电式电动汽车（pev）的能源管理问题。我们既考虑了实时充电控制，也考虑了能源规划优化。本文的主要贡献在于建立了一种新的动态能量容量模型，该模型中每个时间步的可用总负荷能量变化范围是过去能量管理决策的函数。该模型能够系统而简单地设计规划策略，使能源成本最小化，同时尊重负载聚合的动态能量转移能力。进一步的贡献是开发了一种新的随机混合系统模型，该模型可以充分表征实时实施规划决策的单个充电需求的动态和随机性。仿真结果表明，所提出的能量容量模型能较好地反映实际系统的能力。此外，我们还展示了如何使用该模型来实现一个特定的目标：将日常能源成本降至最低。
This paper focuses on energy management for a large population of Plug-in Electric Vehicles (PEVs) for demand response applications. We consider both real time charging control as well as energy planning optimizations. The main contribution of the paper lies in the development of a novel dynamic energy capacity model in which the energy variation range of the aggregated loads available at each time step is a function of the past energy management decisions. Such a model enables systematic yet simple design of planning strategies that minimize energy costs while respecting the dynamic energy shifting capacity of the load aggregation. A further contribution is on the development of a novel stochastic hybrid system model that can fully characterizes the dynamics and stochasticity of individual charging demands for real time implementation of the planning decisions. Simulation results show that the proposed energy capacity model closely captures the capabilities of the real system. Additionally, we show how the model could be used to achieve a specific objective: minimization of daily energy costs.