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Optimal sizing and allocation of battery energy storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries

机译:在考虑电网寿命的情况下,在配电网中优化具有风能和太阳能DG的电池储能系统的尺寸和分配,以进行电压调节

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The lifespan of a battery in battery energy storage systems (BESSs) is affected by various factors such as the operating temperature of the battery, depth of discharge, and magnitudes of the charging/discharging currents supplied to or drawn from the battery. In this study, the optimal location and size of a BESS are found for voltage regulation in a distribution system while increasing the lifespan of the battery. Various factors that affect the lifespan of a battery are considered and modelled. The problem is formulated as a multi-objective optimisation problem with two-objective functions. The first objective function calculates the energy losses in the system, whereas the second objective function represents the total investment cost of the distributed generator (DG) and BESS installations. Wind and solar DGs with uncertainties in their output powers are also considered with the BESSs. An elitist non-dominated sorting genetic algorithm-II with a utopian point method is used to solve the optimisation problem. Furthermore, an IEEE 906 bus European low-voltage test feeder and eight test cases are considered for this study. The results show reduced losses and cost, improvement in the voltage profile, and extended lifespan of the batteries.
机译:电池能量存储系统(BESS)中电池的寿命受各种因素影响,例如电池的工作温度,放电深度以及提供给电池或从电池汲取的充电/放电电流的大小。在这项研究中,找到了BESS的最佳位置和大小,以在配电系统中调节电压,同时增加了电池的使用寿命。考虑并建模了影响电池寿命的各种因素。该问题被表述为具有两个目标函数的多目标优化问题。第一个目标函数计算系统中的能量损失,而第二个目标函数代表分布式发电机(DG)和BESS装置的总投资成本。 BESS也考虑了输出功率不确定的风电和太阳能DG。用一种基于乌托邦点法的精英非控制排序遗传算法-Ⅱ来解决优化问题。此外,本研究考虑了IEEE 906总线欧洲低压测试馈线和八个测试用例。结果表明减少了损耗和成本,改善了电压曲线,并延长了电池的使用寿命。

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