Energy Management for Smart Grids With Electric Vehicles Based on Hierarchical MPC
Energy Management for Smart Grids With Electric Vehicles Based on Hierarchical MPC
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DOI：
10.1109/tii.2012.2228876
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发表时间：
2013-08
影响因子：
12.3
通讯作者：
F. Kennel;D. Görges;Steven Liu
中科院分区：
文献类型：
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作者：
F. Kennel;D. Görges;Steven Liu
提出了一种基于分层模型预测控制（HiMPC）的电动汽车智能电网能量管理系统。能量管理系统实现了负载频率控制（LFC）、经济运行和电动汽车融入智能电网。主要组件是HiMPC，它允许覆盖不同的时间尺度，关于约束（例如额定功率）和预测（例如可再生能源发电），以及基于系统模型和基于优化的设计拒绝干扰（例如由于波动的可再生能源发电）。对于电动汽车集成，提出了一个聚合器作为HiMPC和单个车辆之间的链接。聚合器特别地基于车辆用户的当前移动性需求和统计移动性行为向HiMPC提供关于用于LFC的电动车辆的可用性的预测。在整个文件中，能源管理系统进行评估的智能电网的一个中间城市。
This paper presents an energy management system for smart grids with electric vehicles based on hierarchical model predictive control (HiMPC). The energy management system realizes load-frequency control (LFC), an economic operation and an electric vehicle integration into the smart grid. The main component is the HiMPC, which allows covering different time scales, regarding constraints (e.g. power ratings) and predictions (e.g. on renewable generation), as well as rejecting disturbances (e.g. due to fluctuating renewable generation) based on a systematic model- and optimization-based design. For the electric vehicle integration, an aggregator is proposed as link between HiMPC and individual vehicle. The aggregator in particular provides predictions to the HiMPC on the availability of electric vehicles for LFC based on the current mobility demand and the statistical mobility behavior of the vehicle users. Throughout the paper, the energy management system is evaluated for the smart grid of an intermediate city.