期刊
IEEE TRANSACTIONS ON SMART GRID
卷 9, 期 3, 页码 2065-2075出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2016.2606442
关键词
Vehicle to grid; energy management; stochastic dynamic optimization; smart home; plug-in electric vehicle
资金
- Science and Technology Department of Sichuan Province [2016HH0010, 2015TD0021, 2013JY0088]
- NSF of China [51375402]
- Xihua University Fund [z1220315, szjj2012-012]
- Fundamental Research Funds for the Central Universities [0903005203398]
This paper proposes a stochastic dynamic programming framework for the optimal energy management of a smart home with plug-in electric vehicle (PEV) energy storage. This paper is motivated by the challenges associated with intermittent renewable energy supplies and the local energy storage opportunity presented by vehicle electrification. This paper seeks to minimize electricity ratepayer cost, while satisfying home power demand and PEV charging requirements. First, various operating modes are defined, including vehicle-to-grid, vehicle-to-home, and grid-to-vehicle. Second, we use equivalent circuit PEV battery models and probabilistic models of trip time and trip length to formulate the PEV to smart home energy management stochastic optimization problem. Finally, based on time-varying electricity price and time-varying home power demand, we examine the performance of the three operating modes for typical weekdays.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据