基于大数据技术的错峰用电管理应用研究

为有效地降低峰谷差,提高负荷率,本文提出了一种面向智能电网的错峰用电管理新思路,利用大数据技术进行用户的用电模式识别,并将这项技术应用到错峰用电管理领域当中,针对用户不同的用电特点,考虑差异化错峰用电策略。这种基于用户的用电模式识别而开展的错峰潜力分析,可有效地弥补现有错峰用电管理方式相对粗放的不足。

Study on Peak Load Shifting Management Based on the Big Data Technology

In order to reduce the difference between peak and valley load effectively and improve load rate, a new idea for peak load shifting management is presented for smart grid, in which the electricity consumption pattern is recognized by using big data technology. In addition, this technology is also applied to peak load shifting management, and different peak load shifting strategies are considered as to the consumption characteristics of different users. The peak load shifting potential analysis based on pattern recognition can make up for the shortcoming of extensive peak load shifting management effectively.