期刊
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
卷 3, 期 2, 页码 232-239出版社
SPRINGEROPEN
DOI: 10.1007/s40565-015-0117-z
关键词
Renewable energy; Electric vehicle; Controlled electric vehicle (EV) charging; Demand side response; Peak-valley price
资金
- National Natural Science Foundation of China [51477116]
- Special Founding for Thousands Plan of State Grid Corporation of China [XT71-12-028]
Renewable energy, such as wind and photovoltaic (PV), produces intermittent and variable power output. When superimposed on the load curve, it transforms the load curve into a 'load belt', i.e. a range. Furthermore, the large scale development of electric vehicle (EV) will also have a significant impact on power grid in general and load characteristics in particular. This paper aims to develop a controlled EV charging strategy to optimize the peak-valley difference of the grid when considering the regional wind and PV power outputs. The probabilistic model of wind and PV power outputs is developed. Based on the probabilistic model, the method of assessing the peak-valley difference of the stochastic load curve is put forward, and a two-stage peak-valley price model is built for controlled EV charging. On this basis, an optimization model is built, in which genetic algorithms are used to determine the start and end time of the valley price, as well as the peak-valley price. Finally, the effectiveness and rationality of the method are proved by the calculation result of the example.
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