Energy Efficiency Optimization Management for Industrial Enterprises with Electric Vehicle Charging Stations

被引：0
|
作者：
Yuan, Jiang [1 ]
Hao, Tian
机构：
[1] Chongqing Elect Power Design Inst Co Ltd, Chongqing, Peoples R China
来源：
2020 4TH INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2020) | 2020年 / 510卷
关键词：
D O I：
10.1088/1755-1315/510/2/022042
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：
Most industrial enterprises only have extensive production mode and lack of certain economy. Combined with the characteristics of renewable energy power generation system and electric vehicles, a mathematical model of electric vehicles with wind power and photovoltaic power generation station was firstly built, and then an industrial enterprise energy efficiency optimization management model with electric vehicles charging station was built on this model. Improved adaptive genetic optimization algorithm is programmed based on MATLAB 7.0. Then taking a certain system as an object, we optimize the energy efficiency of industrial enterprises in 5 typical scenarios. The results show that the reasonable utilization of renewable energy power generation and electric vehicle charging load can significantly improve the energy efficiency of industrial enterprises.
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页数：8
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