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Optimised operation of power sources of a PV/battery/hydrogen-powered hybrid charging station for electric and fuel cell vehicles

机译:电动和燃料电池车辆的PV /电池/氢动力混合充电站的电源优化运行

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摘要

This study presents a new energy management system (EMS) for the optimised operation of power sources of a hybrid charging station for electric vehicles and fuel cell vehicles. It is composed of a photovoltaic (PV) system, a battery and a hydrogen system as energy storage systems (ESSs), a grid connection, six fast charging units and a hydrogen supplier. The proposed EMS is designed to reduce the utilisation costs of the ESS and make them work, as much as possible, around their maximum efficiency points. The optimisation function depends on a cost prediction system that calculates the net present cost of the components from their previous performance and a fuzzy logic system designed for improving their efficiency. Finally, a particle swarm optimisation algorithm is used to solve the optimisation function and obtain the required power for each ESS. The proposed EMS is checked under Simulink environment for long-term simulations (25 years). By comparing the EMS with a simpler one that optimises only the costs, it is proved that the proposed EMS achieves better efficiency of the charging station (+7.35%) and a notable reduction in the loss of power supply probability (-57.32%) without compromising excessively its average utilisation cost (+1.81%).
机译:这项研究提出了一种新能源管理系统(EMS),用于优化电动汽车和燃料电池汽车混合充电站电源的运行。它由光伏(PV)系统,电池和作为储能系统(ESS)的氢气系统,并网,六个快速充电单元和一个氢气供应商组成。提议的EMS旨在降低ESS的使用成本,并使它们在最大效率点附近尽可能多地工作。优化功能取决于成本预测系统和模糊逻辑系统,该成本预测系统根据组件的先前性能来计算它们的净当前成本,该模糊逻辑系统旨在提高组件的效率。最后,使用粒子群优化算法求解优化函数并获得每个ESS所需的功率。建议的EMS在Simulink环境下进行了长期仿真(25年)检查。通过将EMS与仅优化成本的较简单EMS进行比较,证明了所提出的EMS可以实现更好的充电站效率(+ 7.35%)并显着降低电源损失的可能性(-57.32%),而无需大大损害了其平均使用成本(+ 1.81%)。

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