改进的自适应控制技术,用于从光伏系统中提取最大功率
Ahmed O Hafez1, Mahmoud A Attia2, Ahmed H El-Ebiary3
1Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Scientific reports
|November 23, 2025
概括
新的自适应控制器,设置会员关系投影算法 (SMAPA) 和单个感知器自适应PI (SP-API),显著提高光伏 (PV) 系统的效率和稳定性,用于最大功率点跟踪 (MPPT). 这些方法可以在没有大量数据集的情况下提供实时适应.
科学领域:
- 可再生能源系统可再生能源系统
- 控制系统工程 控制系统工程
- 电力电子 电力电子 电力电子
背景情况:
- 光伏 (PV) 系统需要强大的最大功率点跟踪 (MPPT),以保持稳定的电网集成,尽管环境波动,如辐射和温度变化.
- 传统的MPPT方法可能难以实时适应动态环境条件,从而影响系统的整体效率和可靠性.
研究的目的:
- 调查和比较四个适应MPPT控制器的性能,用于电网连接的光伏系统.
- 为光伏MPPT引入和评估基于SP-API和SMAPA的新型PI控制器,以及针对MRFO优化的PID和API控制器.
- 在不依赖于大量数据集的情况下,评估控制器适应均和部分遮阳条件的适应性.
主要方法:
- 实施四个自适应MPPT控制器:基于MRFO优化的PID,API,SP-API和基于SMAPA的PI,与增量导电 (IC) 算法集成.
- 使用两个电网光伏系统的案例研究进行评估:模拟每日变化和部分遮阳场景.
- 基于效率,动态响应,波纹和能量损失对控制器性能进行比较分析.
主要成果:
- 基于SMAPA的PI控制器实现了最高的效率 (约. 99.8%),波纹和能量损失最小 (约. 0.2%) 的时间.
- 该SP-API控制器表现出强的性能,紧随其后的是SMAPA控制器.
- 与新型自适应控制器相比,传统的PID和API控制器表现出较弱的动态响应和较高的能量损耗.
结论:
- SMAPA和SP-API控制器为光伏系统中的MPPT提供了卓越的适应性和稳定性,性能优于传统方法.
- 这些新型自适应控制器对光伏系统的可靠电网集成充满希望,特别是在具有挑战性的环境条件下.
- SP-API和SMAPA的实时适应能力消除了对广泛数据集的需求,简化了实施.
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