基于排队理论的储能式快充站容量优化配置

基于排队理论的储能式快充站容量优化配置
摘要：电动汽车快速充电能有效解决充电时间长的缺点,但充电功率大且具有较大的随机性。为了解决这一问题,将储能应用于快速充电站,可缓解电网压力,提高电网稳定性。根据传统加油站车辆进站分布,运用排队理论对充电站进行负荷建模,以满足日最大到达率确定充电机数量。将充电机量化为储能侧充电机和电网侧充电机,构建了一种充电容量配置模型。该模型以充电站设备投资成本和购电成本最小为目标,配置充电机比例。最后通过算例验证了该模型的可行性和有效性。

Abstract:Fast charging of electric vehicles can effectively solve the disadvantage of long-time charging, but it has such features as high charging power and great randomness. To solve this problem, energy storage is applied to fast charging stations for electric vehicle to alleviate the pressure of the power grid, and to enhance the stability of power grid. According to distribution of vehicle stops for traditional gas station, the Queuing Theory is used to build load model of charging station to obtain the days biggest arrival rate, then to determine the number of chargers. The chargers are divided into storage side chargers and grid side chargers, and a charging capacity allocation model is constructed. The objective of this model is to minimize investment costs of station equipment and purchase costs of electricity, so the proportion of chargers is configured. In the end, the feasibility and validity of the model are verified through an example.

标题：基于排队理论的储能式快充站容量优化配置
英文标题：Optimized Capacity Allocation of Fast Charging Station with Energy Storage Based on Queuing Theory

作者：方超明, 张 宇, 王育飞, 刘耀辉,

关键词：快速充电, 储能, 容量配置, 排队理论,

发表日期：2017-04-19

2025-1-25 21:08 上传 基于排队理论的储能式快充站容量优化配置.pdf

文件大小:

929.98 KB

下载次数:

60

高速下载