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Control strategies to smooth short-term power fluctuations in large photovoltaic plants using battery storage systems

机译:使用电池存储系统来平滑大型光伏电站中短期功率波动的控制策略

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摘要

The variations in irradiance produced by changes in cloud cover can cause rapid fluctuations in the power generated by large photovoltaic (PV) plants. As the PV power share in the grid increases, such fluctuations may adversely affect power quality and reliability. Thus, energy storage systems (ESS) are necessary in order to smooth power fluctuations below the maximum allowable. This article first proposes a new control strategy (step-control), to improve the results in relation to two state-of-the-art strategies, ramp-rate control and moving average. It also presents a method to quantify the storage capacity requirements according to the three different smoothing strategies and for different PV plant sizes. Finally, simulations shows that, although the moving-average (MA) strategy requires the smallest capacity, it presents more losses (2–3 times more) and produces a much higher number of cycles over the ESS (around 10 times more), making it unsuitable with storage technologies as lithium-ion. The step-control shown as a better option in scenery with exigent ramp restrictions (around 2%/min) and distributed generation against the ramp-rate control in all ESS key aspects: 20% less of capacity, up to 30% less of losses and a 40% less of ageing. All the simulations were based on real PV production data, taken every 5 s in the course of one year (2012) from a number of systems with power outputs ranging from 550 kW to 40 MW.
机译:云量变化引起的辐照度变化会导致大型光伏(PV)电站产生的功率快速波动。随着电网中PV功率份额的增加,这种波动可能会对功率质量和可靠性产生不利影响。因此,需要能量存储系统(ESS)才能将功率波动降至最大允许值以下。本文首先提出了一种新的控制策略(步进控制),以相对于两种最新策略(斜坡率控制和移动平均值)改善结果。它还提出了一种根据三种不同的平滑策略以及针对不同光伏电站规模来量化存储容量需求的方法。最后,仿真表明,尽管移动平均(MA)策略要求的容量最小,但它呈现出更多的损耗(多出2到3倍),并且在ESS上产生了更多的循环次数(大约多了10倍),这使得它不适合像锂离子这样的存储技术。在ESS的所有关键方面,逐步的限制条件(大约2%/ min)和分布式发电针对斜坡率控制均表现出更好的步进控制能力:容量减少20%,损失最多减少30%并减少40%的老化。所有模拟均基于真实的光伏生产数据,在一年中(2012年)每5 s从一系列功率输出范围为550 kW至40 MW的系统中获取。

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