| 基于插电式电动汽车储能的智能家居动态规划能量管理策略 |
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| 引用本文： | 武小花,邹渊,阴晓峰,张龙.基于插电式电动汽车储能的智能家居动态规划能量管理策略[J].北京理工大学学报,2017,37(1):56-60. |
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| 作者姓名： | 武小花 邹渊 阴晓峰 张龙 |
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| 作者单位： | 1. 西华大学 汽车与交通学院, 四川, 成都 610039; |
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| 基金项目： | 四川省科技厅应用基础基金资助项目（2013JY0088）；四川省青年科技创新研究团队专项计划基金资助项目（2015TD0021）；国家自然科学基金资助项目（51375402；51375044）；四川省教育厅基金资助项目（12ZB320）；西华大学基金资助项目（z1220315）；汽车工程四川省高等学校重点实验室开放研究基金资助项目（szjj2012-012） |
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| 摘 要： | 电动汽车储能为可持续能源供应和分布式能源储存提供了新的机遇和挑战.文中提出基于插电式电动汽车储能的智能家居能量管理问题，并应用动态规划方法完成能量管理策略设计.根据系统结构对系统功率流和PEV电池组进行建模.在家庭能量需求和PEV充电需求约束下，以分时电价和分时家庭能量需求为背景，提出用电成本最小的动态规划能量管理策略优化问题.仿真验证了不同家庭能量需求、不同车辆行驶工况下所提方法的系统经济性，仿真结果表明夏令时和冬令时分别节省家庭日用电费用约50%和27%.
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| 关 键 词： | 电动汽车入网 能量管理策略 动态规划 智能家居 插电式电动汽车 |
| 收稿时间： | 2015/3/30 0:00:00 |
Dynamic Energy Programming Management Based on Smart Home for PEV Energy Storage |
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| WU Xiao-hu,ZOU Yuan,YIN Xiao-feng and ZHANG Long.Dynamic Energy Programming Management Based on Smart Home for PEV Energy Storage[J].Journal of Beijing Institute of Technology(Natural Science Edition),2017,37(1):56-60. |
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| Authors: | WU Xiao-hu ZOU Yuan YIN Xiao-feng and ZHANG Long |
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| Institution: | 1. School of Automobile and Transportation, Xihua University, Chengdu, Sichuan 610039, China;2. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | The on-board energy storages in PEVs (plug-in electric vehicles) make a new challenge and opportunity for the sustainable and distributed energy supply study. An energy management strategy of the smart home was proposed based on the dynamic programming method for PEVs energy storage. The power flow and the PEV batteries were modeled to adapt the specific home energy consumption structure. Constrained by the home energy demand and PEV charging power request, the electricity minimum consumption problem was formulated as the dynamic programming paradigm based on the time-varying electricity price and time-varying home power demand. Simulation results show the economy efficiency of the proposed method in different house power demand and the different drive condition. The daily total electric cost of smart home with PEV energy storage is 50% less than that of non-PEV case in summer weekdays, and 27% in winter weekdays. |
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| Keywords: | vehicle to grid energy management dynamic programming smart home plug-in electric vehicle (PEV) |
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