Automation of Electric Power SystemsVol. 39, Issue 15, Pages: 75-81(2015)
作者机构:
上海大学机电工程与自动化学院,上海市,200072
作者简介:
基金信息:
DOI:
CLC:
Published:2015
稿件说明:
移动端阅览
LI Mingyang. [J]. Automation of electric power systems, 2015, 39(15): 75-81.
DOI:
LI Mingyang. [J]. Automation of electric power systems, 2015, 39(15): 75-81.DOI:
电动汽车充放电决策模型及电价的影响分析
摘要
以电动汽车运营收益最大化为目标
以满足电动汽车动力电池充放电容量及电动汽车行程需求为约束条件
构造了一个电动汽车充放电收益最大化模型
该模型表示电动汽车充放电决策。以2009年美国家庭出行调查为依据
根据用户出行规律
采用蒙特卡洛模拟法模拟用户行程需求
对电动汽车充放电运行的经济效益以及充电负荷分布进行仿真计算和分析。研究结果表明
所提出的模型可以表示电动汽车响应电价的能力
利用该模型还研究了实时电价对含电动汽车接入电网功能的电动汽车充放电电量分布及电动汽车运行成本的影响
揭示了实时电价机制为了更好地促进充放电电量的合理分布需要动态调整的特点
以及电动汽车接入电网功能可以显著减少电动汽车的运行成本
且存在较大的经济空间组织充电运营商的特点。电动汽车电池存储作用值得进一步开发。
Abstract
Under the constraints of power battery charging/discharging capacity and customer travel needs
an electric vehicle charging/discharging model is proposed to maximize electric vehicle economic benefits. The vehicle travel behavior data used are derived from the 2009 national household travel survey (NHTS). The Monte Carlo simulation method is utilized to generate the trip needs of customers based on the actual customers’ travel rule. The economic benefits and load distribution of electric vehicle charging/discharging are simulated and analyzed. The results show that the proposed model is able to represent the ability of electric vehicles to respond to the time of use electricity price. Meanwhile
with this model
the influence of real-time electricity price on the distribution of charge/discharge electric quantities and running cost of electric vehicles with vehicle-to-grid (V2G) function are studied. It is shown that real-time electricity pricing needs dynamic adjustment for better charge and discharge distribution
the V2G function should markedly reduce the running cost of electric vehicles
and there exists plenty of room for organizing electric operators in making economic benefits. The effects of electric vehicle battery storages are worth further developing.