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含风光柴蓄的电动汽车充电站容量优化配置方法
引用本文:邢毓华,师高翔.含风光柴蓄的电动汽车充电站容量优化配置方法[J].电气传动,2021,51(7):67-74.
作者姓名:邢毓华  师高翔
作者单位:西安理工大学自动化与信息工程学院,陕西西安710048
摘    要:多能源互补的复合充电站模式是解决海岛电动汽车充电问题的有效途径之一.根据海岛地区能源结构特点,提出了考虑投资运营成本和可再生能源利用率的功率分配方案.以油机发电功率、蓄电池组电量、风机组功率、光伏机组功率、系统各部分功率平衡为约束条件建立数学模型,选用带精英策略的非支配排序遗传算法NSGA-II对所构建的模型进行求解....

关 键 词:投资运营成本  可再生能源利用率  功率平衡  优化方案  非支配排序遗传算法

Optimal Capacity Allocation Method of Electric Vehicle Charging Station for Micro-grid with PV,Wind Turbine,Diesel Generation and Storage Batteries
XING Yuhua,SHI Gaoxiang.Optimal Capacity Allocation Method of Electric Vehicle Charging Station for Micro-grid with PV,Wind Turbine,Diesel Generation and Storage Batteries[J].Electric Drive,2021,51(7):67-74.
Authors:XING Yuhua  SHI Gaoxiang
Affiliation:(School of Automation and Information Engineering,Xi'an University of Technology,Xi’an 710048,Shaanxi,China)
Abstract:The hybrid charging station model with multiple complementary energy sources is one of the effective ways to solve the problem of island electric vehicle charging.According to the characteristics of energy structure in the island area,the power distribution scheme considering the investment and operation cost and renewable energy utilization rate was proposed.The mathematical model was established with the constraint conditions of oil generator power,battery power,wind power,photovoltaic power and power balance of each part of the system.Nondominated sorting genetic algorithms-II(NSGA-II)with elite strategy was used to solve the model.Combining with a specific example,the Pareto optimal solution was obtained.Several groups of typical optimal dispatching schemes were selected to conduct power balance analysis and verified the validity of the established mathematical model,so as to provide theoretical basis and technical support for the construction and operation management of multi-energy compound electric vehicle charging station.
Keywords:operating cost of investment  utilization of renewable energy  power balance  prioritization scheme  non-dominated sorting genetic algorithms-II(NSGA-II)
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