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Economic evaluation of a PV combined energy storage charging station based on cost estimation of second-use batteries

机译:基于二次电池成本估算的光伏联合储能充电站的经济评价

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Recycling of a large number of retired electric vehicle batteries has caused a certain impact on the environmental problems in China. In term of the necessity of the re-use of retired electric vehicle battery and the capacity allocation of photovoltaic (PV) combined energy storage stations, this paper presents a method of economic estimation for a PV charging station based on the utilization of retired electric vehicle batteries. According to the second-use battery technology, a capacity allocation model of a PV combined energy storage charging station based on the cost estimation is established, taking the maximum net income of the PV combined energy storage charging station as the objective function, the real-time power balance of the PV combined energy storage charging station and the state of charge (SOC) of the energy storage system as constraint conditions. As the economy of the second-use battery energy storage system is related to the purchase, operation and maintenance costs of the energy storage system, the capacity cost of the retired electric vehicle batteries is estimated by the double declining balance method. In order to facilitate comparative analysis, the optimal capacity configuration of the PV combined energy storage charging station is given by the teaching-learning-based optimization (TLBO) and particle swarm optimization(PSO) algorithms respectively. The net present value (NPV) is adopted to evaluate the cost and benefit of the PV charging station with the second-use battery energy storage during the lifecycle. Combined with the actual operation data of the PV combined energy storage charging station in Beijing, the economy of the PV combined energy storage charging station is evaluated according to the conventional batteries and the second-use batteries. The simulation results show that the optimal capacity configuration obtained by the TLBO algorithm is better than that of the conventional batteries obtained by the PSO algorithm, which provides a theory basic for the re-use of the retired electric vehicle batteries and has a certain practical value of the project. (C) 2018 Elsevier Ltd. All rights reserved.
机译:大量废弃电动汽车电池的回收利用对中国的环境问题产生了一定的影响。针对退役电动汽车电池的再利用和光伏(PV)组合式储能站容量分配的必要性,提出一种基于退役电动汽车利用率的光伏充电站经济估算方法电池。根据二次电池技术,建立了以成本估算为基础的光伏联合储能充电站容量分配模型,以光伏联合储能充电站的最大净收入为目标函数,实光伏联合储能充电站的时间功率平衡和储能系统的充电状态(SOC)作为约束条件。由于二次电池储能系统的经济性与储能系统的购买,运行和维护成本有关,因此,通过双重递减余额法估算退役电动汽车电池的容量成本。为了便于比较分析,分别通过基于教学的优化(TLBO)和粒子群优化(PSO)算法给出了光伏联合储能充电站的最佳容量配置。净现值(NPV)用于评估生命周期内具有二次使用电池能量存储的PV充电站的成本和收益。结合北京市光​​伏复合储能充电站的实际运行数据,根据常规电池和二次电池对光伏复合储能充电站的经济性进行了评估。仿真结果表明,TLBO算法获得的最优容量配置优于PSO算法获得的常规电池配置,这为报废电动汽车电池的再利用提供了理论基础,具有一定的实用价值。该项目。 (C)2018 Elsevier Ltd.保留所有权利。

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