Travel temperature directly affects the specific energy consumption of electric vehicle through various interferences, resulting in the difference in charging power demand at different temperatures. According to the statistical principle, under the support of a large number of samples, the least squares method to obtain the specific relationship between the electric power consumption per km of electric vehicles and the travel temperatures in this paper. Then a power calculation model for electric vehicles considering the influence of travel temperature is proposed. The distribution network of a certain residential district in Beijing is taken as an example. Monte Carlo method is used to simulate the specific difference of electric vehicle charging load under different seasons (temperatures). The different impacts of EV load on the regional power grid in different seasons are analyzed to provide a new seasonal scheduling idea for the orderly control of EV charging behavior in the future.
张新城,刘志珍,侯延进,宗沙沙.考虑出行温度影响的电动汽车充电功率需求分析[J].电力科学与技术学报,2021,(4):124-131. Zhang Xincheng, Liu Zhizhen, Hou Yanjin, Zong Shasha. Analysis of charging power demand of electric vehicles considering the influence of travel temperature[J]. Journal of Electric Power Science and Technology,2021,(4):124-131.复制