Linking intra-day variations in residential electricity demand loads to consumers' activities: What's missing?
Linking intra-day variations in residential electricity demand loads to consumers' activities: What's missing?
复制标题
将住宅电力需求负荷的日内变化与消费者活动联系起来：缺少什么？
DOI：
10.1016/j.enbuild.2017.12.012
复制
发表时间：
2018
影响因子：
6.7
通讯作者：
Ramírez-Mendiola J
中科院分区：
文献类型：
--
作者：
Ramírez-Mendiola J
越来越多的兴趣，在国内电力消费模式中观察到的一天内的变化的代表性，推动了各种建模框架的发展，将消费者的行为模式作为模拟电力消费的一个关键要素。一些现有的模型产生用户活动模式的更广泛的特征的合理表示，通常呈现为住宅占用模式。然而，当这些活动模式被用于产生与这些活动相关联的电力需求负荷的估计时，很少注意活动与负责产生实际需求负荷的电力设备的实际使用之间的联系。相反，根据活动模式模拟需求负荷是通过简化假设来进行的，这些假设掩盖了这些联系背后的现实。因此，本文旨在通过更详细地关注基本活动模式以及这些模式与相关设备的使用模式之间的关系，来揭示活动与电力需求概况之间的关系。这些关系是根据目前可用的数据集进行研究的。对与使用多个电器相关联的活动的分析揭示了每个电器全天被激活的可能性相对于用户参与与电器相关联的活动的可能性之间的差异。在实践中，这显示了每个设备在与活动相关联的需求负载中的份额在一天中是如何变化的。因此，与特定活动相关联的功率消耗受制于相同种类的可变性;活动相关的需求。这种分析的结果可以与当前的或新的建模方法结合使用，以便将用户活动模式与更现实的电力需求负荷的模拟联系起来。
An increasing interest in the representation of the intra-day variability observed in domestic electricity consumption patterns has driven the development of various modelling frameworks that incorporate consumer behavioural patterns as a key element for the simulation of electricity consumption. Some of the existing models produce reasonable representations of the broader characteristics of user activity patterns, typically rendered as dwelling occupancy patterns. However, when these activity patterns are used to produce estimates of the electricity demand loads associated with such activities, little attention is paid to the links between activities and the actual use of the electric equipment responsible for the production of the actual demand loads. Instead, the simulation of demand loads from activity patterns is ruled by simplifying assumptions that mask the reality behind those links. This paper therefore seeks to unpack the relationship between activity and electricity demand profiles by focussing on the underlying activity patterns in more detail, and how these relate to the usage patterns of the associated appliances. These relationships are studied based on currently available datasets. The analysis of the activities associated with the use of more than one appliance revealed the differences between the likelihood of each appliance being activated throughout the day relative to user engagement in the activity the appliance is associated with. In practice, what this shows is how each appliance's share of the demand load associated with the activity varies throughout the day. As a result, the power consumption associated with a particular activity is subject to the same kind of variability; activity-related demand. The results of this analysis can be used in conjunction with current or new modelling approaches with a view to linking the user activity patterns with the simulation more of realistic electricity demand loads.