摘要
电动出租车作为当下发展的重要领域之一,其运行特征存在跨区域一致性,然而受各地电源结构、出租车保有量等因素影响,出租车电气化对电网产生的影响及实现的碳减排效益具有地域差异性。基于高斯混合分布模型对收集的实际电动出租车的运行数据进行了充电行为模拟,获得了电动出租车运行的一般特征。以南方5省为例,考虑电源构成、负荷水平、出租车保有量,分别对出租车电气化产生的对电网负荷的影响及实现的碳减排量进行了模型构建及数据测算。结果表明,大规模电动出租车接入电网减小了电网负荷谷时段的负荷波动,然而加大了高峰时段的负荷波动,同时,造成了电网负荷率的地域差异性变化,并且不同地区所实现的碳减排幅度存在显著差异。
China has introduced a number of policies to promote the development of electric vehicles. As one of the important fields for development, electric taxis have consistency across regions in operating characteristics. However, the impacts of electric taxis on grid operation and the benefits in carbon emission reduction are different in different regions due to their differences in power structure, taxi ownership and others. Focusing on this issue, this paper firstly simulates the actual operation data of electric taxis based on Gaussian mixture model and obtains the general running characteristics of electric taxis. By taking five southern China provinces as examples, models are built respectively to analyze the impacts of electric taxis on the power load and carbon reductions with consideration of the power structure, power load and taxi fleet scale. The results show that large scale electric taxis can assist reducing the load fluctuations during the valley load time, but increase the load fluctuations during the peak load periods. At the same time, the rate of grid load is varied geographically due to the impacts of electric taxis. Moreover, the amounts of carbon emission reduction are significantly different among regions.
出处
《中国电力》
CSCD
北大核心
2016年第2期141-147,共7页
Electric Power
基金
国家自然科学基金资助项目(71473083)
北京市自然科学基金资助项目(9142016)~~
关键词
电动汽车
运行特点
负荷峰谷
负荷率
碳减排
electric vehicle
operating characteristics
peak/valley load
rate of grid load
carbon emission reduction
