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电池退化在线监测以增强光伏电站的功率平滑
Online Monitoring of Battery Degradation for Enhanced Power Smoothing of PV Power Plants
| 作者 | Ammar Atif Abdalla · Mohamed Shawky El Moursi · Tarek H. M. El-Fouly · Khalifa Hassan Al Hosani |
| 期刊 | IEEE Transactions on Sustainable Energy |
| 出版日期 | 2025年3月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 光伏电站 电池储能系统 控制器 电池退化 功率共享模型 |
语言:
中文摘要
为实现碳中和目标,光伏(PV)电站并网规模不断扩大,但其出力受天气影响显著,易引发电网电压与频率波动。结合电池储能系统(BESS)是有效的功率平滑方案,然而传统控制器导致电池频繁均等充放电,加速老化。本文提出将BESS划分为独立充放电子组,基于功率波动预测动态分配电池单元,并通过功率分配模型管理激活策略、实现组间支援。结合在线健康评估与退化均衡层,依据循环寿命优先调度,有效降低电池循环次数。实验验证表明,所提方法可将电池退化率控制在0.099%以内,显著优于传统方法的4.41%。
English Abstract
In pursuit of a carbon-neutral future, the integration of photovoltaic (PV) power plants into the electrical power grid is expanding. Although beneficial, this expansion presents challenges due to weather-induced variability, which destabilizes the grid and causes voltage and frequency deviations. A viable solution is the use of Battery Energy Storage Systems (BESS) alongside PV power plants. However, conventional controllers, which lead to uniform and frequent charging cycles, accelerate degradation and reduce efficiency in BESS. To address this, this paper proposes segmenting the BESS units into distinct charging and discharging groups, effectively minimizing battery cycling and enhancing their lifespan. The controller dynamically assigns batteries to each group based on power fluctuation forecasts using a power-sharing model. This model manages battery activation, enables inter-group support, and balances degradation by monitoring BESS charge levels and assessing battery health through an online system. This controller, coupled with a degradation balancing layer, strategically prioritizes units based on their cycling age. The proposed technique was rigorously tested and experimentally validated, demonstrating that it significantly reduces battery degradation to a maximum of 0.099%, in stark contrast to the up to 4.41% observed with conventional controllers.
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SunView 深度解读
该电池退化在线监测与动态分组技术对阳光电源PowerTitan储能系统和ST系列储能变流器具有重要应用价值。文章提出的独立充放电子组划分策略可直接应用于大型储能系统的电池簇管理,通过基于循环寿命的优先调度算法,配合iSolarCloud云平台的智能诊断功能,可实现电池健康状态的实时评估与退化均衡控制。该方法将退化率从4.41%降至0.099%,显著延长电池寿命,可优化阳光电源光储一体化解决方案中的功率平滑控制策略,降低储能系统全生命周期成本,提升光伏电站并网友好性,为构网型GFM控制提供更可靠的储能支撑。