On a probability distribution model combining household power consumption, electric vehicle home-charging and photovoltaic power production

被引：67
|
作者：
Munkhammar, Joakim [1 ]
Widen, Joakim [1 ]
Ryden, Jesper [2 ]
机构：
[1] Uppsala Univ, Dept Engn Sci, Built Environm Energy Syst Grp, SE-75121 Uppsala, Sweden
[2] Uppsala Univ, Dept Math, SE-75106 Uppsala, Sweden
来源：
APPLIED ENERGY | 2015年 / 142卷
关键词：
Probability density distributions; Household power consumption; Electric vehicle home-charging; Photovoltaic power production; BOTTOM-UP APPROACH; SOLAR-RADIATION; CLEARNESS INDEX; FREQUENCY-DISTRIBUTION; DENSITY DISTRIBUTIONS; ENERGY MANAGEMENT; SELF-CONSUMPTION; DAILY INSOLATION; DEMAND; LOAD;
D O I：
10.1016/j.apenergy.2014.12.031
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper we develop a probability distribution model combining household power consumption, electric vehicle (EV) home-charging and photovoltaic (PV) power production. The model is set up using a convolution approach to merge three separate existing probability distribution models for household electricity use, EV home-charging and PV power production. This model is investigated on two system levels: household level and aggregate level of multiple households. Results for the household level show the power consumption/production mismatch as probability distributions for different time bins. This is further investigated with different levels of PV power production. The resulting yearly distribution of the aggregate scenario of multiple uncorrelated households with EV charging and PV power production is shown to not be normally distributed due to the mismatch of PV power production and household power consumption on a diurnal and annual basis. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：135 / 143
页数：9
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