在光伏系统中通过滑动模式控制MPPT的新策略
Itzel Contreras Carmona1, Belem Saldivar2, Otniel Portillo-Rodríguez1
1Facultad de Ingeniería, Universidad Autónoma del Estado de México, Toluca, México.
PloS one
|December 13, 2024
概括
本研究介绍了一种强大的最大功率点跟踪 (MPPT) 算法,使用超扭转的滑动模式控制器. 它为太阳能系统提供了一个高效,低复杂的解决方案,即使没有温度传感器.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
背景情况:
- 最大功率点跟踪 (MPPT) 对于优化光伏 (PV) 能源发电至关重要.
- 传统的 MPPT 算法,如 Perturb and Observe (P&O) 和 Incremental Conductance (Inc),在动态条件下存在一些限制.
- 使用人工神经网络 (ANN) 的先进方法提供了更好的性能,但可能是复杂的.
研究的目的:
- 提出一种新的,强大的MPPT算法,用于增强太阳能采集.
- 将拟议的算法与经典和基于ANN的MPPT技术进行比较.
- 为了证明一个低复杂性,高效的MPPT解决方案,而不需要温度传感器.
主要方法:
- 一个超级扭转的滑动模式控制器用于最大功率点的强大的轨迹跟踪.
- 使用基于太阳辐射和温度或系统特征的线性/多重回归模型生成参考轨迹.
- 拟议的算法通过数值模拟与P&O,Inc和基于ANN的MPPT方法进行验证.
主要成果:
- 拟议的算法在融合时间,功率效率和降低振荡幅度方面表现出卓越的性能.
- 与基于ANN的方法相比,没有发现显著的性能差异.
- 基于线性回归的方法提供了一个不需要温度传感器的低复杂性解决方案.
结论:
- 基于控制器的超扭曲滑动模式MPPT算法对光伏系统是有效和强大的.
- 该方法为复杂的基于ANN的方法提供了有竞争力的替代方案.
- 通过线性回归,可以实现简化,无传感器的MPPT策略,提高实际应用性.
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