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首页> 外文会议>2012 International Conference on Connected Vehicles and Expo >Optimization of Home Energy Usage by Intelligently Charging/Discharging EV/PHEV
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Optimization of Home Energy Usage by Intelligently Charging/Discharging EV/PHEV

机译：通过智能地对EV / PHEV进行充电/放电来优化家庭能源使用

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摘要

In this paper, the problem of energy cost minimization for residential home equipped with electric drive vehicles is considered. In future residential homes, electric drive vehicles, including Hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (EVs), are expected to be common due to the growing energy cost and the need for improving efficiency and energy sustainability. In this context, a constrained optimization problem is formulated for home owners to take advantage of controlling when and how the EVs/PHEVs are charged or discharged in order to minimize their energy cost while keeping the vehicle ready for their daily commute. By taking into account the nonlinear characteristics of the battery charging and discharging, and realistic energy pricing from government agencies such as ERCOT (Electric Reliability Council of Texas), a nonlinear programming solution is derived using the sub-gradient search algorithm. Simulation results demonstrate the effectiveness of the proposed scheme.
机译：本文考虑了配备电动汽车的住宅的能源成本最小化问题。在未来的住宅中，由于能源成本的增长和需求的增加，包括混合动力电动汽车（HEV），插电式混合动力电动汽车（PHEV）和全电动汽车（EV）在内的电动汽车有望普及。以提高效率和能源可持续性。在这种情况下，为房主制定了一个约束优化问题，以利用其控制EV / PHEV的充电时间和方式以及如何进行充电，以最大程度地降低其能源成本，同时使车辆为日常通勤做好准备。考虑到电池充电和放电的非线性特性以及政府机构（例如ERCOT（德克萨斯州电可靠性委员会））的实际能源定价，使用次梯度搜索算法得出了非线性规划解决方案。仿真结果证明了该方案的有效性。

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