Open AccessEnergy Efficiency Optimization Management for Industrial Enterprises with Electric Vehicle Charging Stations
Author(s) -
Jiang Yuan,
Tian Huang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/510/2/022042
Subject(s) - automotive engineering , renewable energy , matlab , electric vehicle , photovoltaic system , electricity generation , energy management , power (physics) , electric power , efficient energy use , genetic algorithm , electric potential energy , computer science , energy (signal processing) , engineering , electrical engineering , statistics , physics , mathematics , quantum mechanics , machine learning , operating system
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.