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首页> 外文期刊>Applied Energy >Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration
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Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

机译:在具有高光伏渗透率的低压配电网络中,对电池储能进行最佳放置,调整大小和每日充电/放电

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Proper installation of rooftop photovoltaic generation in distribution networks can improve voltage profile, reduce energy losses, and enhance the reliability. But, on the other hand, some problems regarding harmonic distortion, voltage magnitude, reverse power flow, and energy losses can arise when photovoltaic penetration is increased in low voltage distribution network. Local battery energy storage system can mitigate these disadvantages and as a result, improve the system operation. For this purpose, battery energy storage system is charged when production of photovoltaic is more than consumers’ demands and discharged when consumers’ demands are increased. Since the price of battery energy storage system is high, economic, environmental, and technical objectives should be considered together for its placement and sizing. In this paper, optimal placement, sizing, and daily (24 h) charge/discharge of battery energy storage system are performed based on a cost function that includes energy arbitrage, environmental emission, energy losses, transmission access fee, as well as capital and maintenance costs of battery energy storage system. All simulations are carried out in DIgSILENT and MATLAB linked together. Results show that by using the proposed approach, overvoltage and energy losses are decreased, reverse power flow is prevented, environmental emission is reduced, and economic profit is maximized.
机译:在配电网中正确安装屋顶光伏发电可以改善电压分布,减少能量损失并提高可靠性。但是,另一方面,当在低压配电网中增加光伏穿透力时,可能会出现一些与谐波失真,电压幅度,反向功率流和能量损耗有关的问题。本地电池能量存储系统可以缓解这些缺点,从而改善系统运行。为此,当光伏产品的产量超过消费者需求时,对电池储能系统进行充电;而当消费者需求增加时,则对电池储能系统进行放电。由于电池储能系统价格高昂,因此在放置和调整尺寸时应同时考虑经济,环境和技术目标。在本文中,基于能量函数(包括能量套利,环境排放,能量损失,传输访问费,以及资本和电池储能系统的维护费用。所有仿真都是在DIgSILENT和MATLAB链接在一起进行的。结果表明,通过所提出的方法,可以减少过电压和能量损失,防止反向潮流,减少环境排放,并最大限度地提高经济效益。

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