Analysis of power demand response for smart home in Germany from end-user's perspective based on high resolution power demand model

N. H. Mallick, M. H. Maruf
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引用次数: 1

Abstract

This study forecasts the load profile of Germany for household scenarios till 2050 based on Markov chain process. Taking into account the penetration level of photovoltaic (PV) solar technology, technological improvement of efficient home appliances, battery support, load management and demand response scheduling, a high resolution smart home demand profile is created. At the end, combining of all, a highly annual aggregated demand profile is produced which shows daily variations on demand load profile for fixed tariff scenarios up to 44% with respect to the present demand profile. On the other hand it is found that, Time of Use (TOU) tariff shows a variation of 64% with respect to the present demand profile.
基于高分辨率电力需求模型的终端用户视角下德国智能家居电力需求响应分析
本研究基于马尔可夫链过程预测了德国到2050年的家庭用电负荷情况。考虑到光伏(PV)太阳能技术的渗透水平,高效家电的技术改进,电池支持,负载管理和需求响应调度,创建了高分辨率的智能家居需求概况。最后,综合所有因素,得出一个高度年度汇总需求概况,显示固定电价情景下需求负荷概况与当前需求概况相比的每日变化高达44%。另一方面,它发现,使用时间(TOU)关税显示了64%的变化相对于目前的需求概况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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