首页> 外文会议>European Photovoltaic Solar Energy Conference and Exhibition >MODELLING AND ENERGY MANAGEMENT OPTIMISATION OF BATTERY ENERGY STORAGE SYSTEM (BESS) BASED PHOTOVOLTAIC CHARGING STATION (PV-CS) FOR UNIVERSITY CAMPUS
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MODELLING AND ENERGY MANAGEMENT OPTIMISATION OF BATTERY ENERGY STORAGE SYSTEM (BESS) BASED PHOTOVOLTAIC CHARGING STATION (PV-CS) FOR UNIVERSITY CAMPUS

机译:大学校园电池储能系统(BESS)光伏充电站(PV-CS)的建模与能量管理优化

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As utilization of Photovoltaic Charging Stations (PV-CS) that generate clean electricity from the sun increase, Dublin Institute of Technology (DIT) adopts this application for accommodating the required charge of small campus Battery Electric Vehicles (BEVs). This paper presents the virtual simulation of the 10.5 kW Battery Energy Storage System (BESS) based PV-CS model. Transient System Simulation (TRNSYS) built-in climatic data and modular structure properties were adopted to replicate the experimentally proposed PV-CS, where special attention was paid to the electrical measurments and energy flow signals. The objective was set to model the PV-CS system, formulate an energy managment optimisation and justify the ideal value and or potential range of the equivalent battery size. The primary assessment for energy management of the charging infrastructure was performed through the formulation of analytical energy balancing optimization. The energy balancing approach adopted the Simple Payback Period (SPP) method in order to investigate the acquired positive gains (Gain-1 and Gain-2) by BESS unit. The key variables for tuning the BESS capacity were load profile and size of BESS. The resultant measurement signals from TRNSYS were monitored and compared to their analytical equivalents, where verification and conclusion on accuracy improvements for BESS capacity and reliable system performance were drawn.
机译:由于利用从太阳增加产生清洁电力的光伏充电站(PV-CS),都柏林理工学院(DIT)采用这种应用,以适应小校园电池电动车(BEV)所需的电荷。本文介绍了基于10.5千瓦电池储能系统(BESS)的PV-CS模型的虚拟仿真。采用瞬态系统仿真(TRNSYS)内置气候数据和模块化结构性能来复制实验所提出的PV-CS,其中特殊的注意力被支付给电气测量和能量流量信号。该目标设置为模拟PV-CS系统,制定能量管理优化,并证明了等效电池尺寸的理想值和或潜在范围。通过制定分析能量平衡优化进行充电基础设施的能源管理的主要评估。能量平衡方法采用简单的投资回收期(SPP)方法,以便通过BESS单元调查所获得的正收益(GAIN-1和GAIN-2)。用于调整BESS容量的关键变量是加载概况和BESS的大小。从Trnsys的所得测量信号被监视并与其分析等同物进行比较,其中绘制了验证和结论的培训和结论对BESS容量和可靠的系统性能进行了准确改进。

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