发展中国家电力需求分类的方法和应用

D. Greenwood, N. Wade, P. Davison, Sam Duby
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引用次数: 1

摘要

电力需求分解描述了从总功率测量中识别设备级负载。该课题的研究非常广泛,但大多数项目都集中在连接强、负载大的并网用户;然而,在发展中国家出现的智能离网系统中,有许多分解应用。在本文中,我们描述了一种已建立的电力需求分解方法,即隐藏半马尔可夫模型(HSMM),介绍了使用该方法分解来自肯尼亚实际微电网的需求数据的结果,并讨论了该方法在发展中国家的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods and applications for electricity demand disaggregation in developing countries
Electricity demand disaggregation describes the identification of appliance level loads from aggregate power measurements. This topic is widely researched, but the majority of projects focus on grid connected customers with strong connections and many loads; however, there are numerous applications for disaggregation in the intelligent, off-grid systems emerging in developing countries. In this paper, we describe an established electricity demand disaggregation method, the Hidden Semi-Markov Model (HSMM), present results using this method to dissagregate demand data from a real microgrid in Kenya, and discuss applications for disaggregation in developing countries.
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