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考虑负荷特性与工况的公交充电站光储配置

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随着光储充一体化充电站的发展,如何在现有公交充电站基础上合理确定光储容量成为了焦点。因此提出了考虑负荷特性与运行工况的光储公交充电站容量配置模型。首先考虑公交充电站充电负荷特性,通过移动边界法确定储能充放电状态的阈值,构建更加最优的光储公交充电站运行工况及运行条件。其次,以极大化光伏利用率和极小化系统投资、运行成本为目标,采用粒子群算法进行优化求解,确定出光储公交充电站最优的光伏以及储能容量。基于实际运营数据,对考虑负荷特性和运行工况的光储公交充电站和未考虑的光储公交充电站进行经济性对比。结果表明,在相同配置情况下考虑负荷特性和运行工况能够得到更加合理地光伏和储能容量。
Solar-Storage Configuration of Bus Charging Station Considering Load Characteristics and Working Conditions
With the development of light-storage-charge integrated charging stations,how to reasonably determine the light-storage capacity on the basis of existing bus charging stations has become the focus.Therefore,this paper proposes a capacity allocation model for the charging station of optical storage buses that considers the load character-istics and operating conditions.Firstly,considering the charging load characteristics of the bus charging station,the threshold of the charging and discharging state of the energy storage is determined by the moving boundary method,and the more optimal operating conditions and operating conditions of the optical storage bus charging station are con-structed.Secondly,with the goal of maximizing photovoltaic utilization and minimizing system investment and operating costs,the particle swarm algorithm is used to optimize the solution to determine the optimal photovoltaic and energy storage capacity of the solar-storage bus charging station.Based on the actual operation data,an economic comparison is made between the solar-storage bus charging station considering the load characteristics and operating conditions and the unconsidered solar-storage bus charging station.The results show that more reasonable photovoltaic and energy storage capacity can be obtained by considering the load characteristics and operating condi-tions under the same configuration.

Electric busPhotovoltaic electric bus charging stationsParticle swarm algorithmMoving boundary method

何鑫、孙国歧、魏晓宾、蔡旭

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东华大学信息科学与技术学院,上海 201620

山东德佑电气股份有限公司,山东 淄博 255088

上海交通大学电子信息与电气工程学院,上海 200240

电动公交 光储电动公交充电站 粒子群算法 移动边界法

国家自然科学基金重点项目山东省重点研发计划(重大科技创新工程)

518370072019JZZY020804

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
年,卷(期):2024.41(6)