开发一个固定的订单[公式:参见文本]控制器,以实现一个强大的P&O-MPPT战略,以控制多晶太阳能光伏能源系统
Moussa Sedraoui1, Mohcene Bechouat2, Ramazan Ayaz3,4
1Department of Electrical and Automation Engineering, Faculty of Science and Technology, University of 08 mai 1945 Guelma, Guelma, Algeria. sedraoui.moussa@univ-guelma.dz.
Scientific reports
|January 23, 2025
概括
本研究介绍了一种不确定的模型和对实时天气下的太阳能光伏转换系统 (SPCS) 的稳健控制. 这种新的方法提高了对不断变化的条件的性能和稳定性.
科学领域:
- 可再生能源系统可再生能源系统
- 控制理论 控制理论
- 电气工程 电气工程
背景情况:
- 太阳能光伏转换系统 (SPCS) 对可再生能源至关重要,但对实时天气变化敏感.
- 现有的控制策略可能无法充分解决动态环境条件固有的不确定性.
- 精确的建模和强大的控制对于优化SPCS性能和可靠性至关重要.
研究的目的:
- 开发和验证一种新的不确定的模型,用于实时天气条件下模拟SPCS运行.
- 设计一个强大的控制策略,以提高SPCS的性能和抗环境波动的弹性.
- 将拟议的强有力的控制方法与标准的扰乱和观察 (P&O) 算法的有效性进行比较.
主要方法:
- 介绍SPCS的新型不确定模型,捕捉实时天气影响.
- 修改了标准的Perturb and Observe (P&O) 算法,使用实时数据 (温度,太阳辐射,风速) 产生最佳参考电压.
- 基于不确定模型的强大的固定顺序H无限控制器的设计,解决频率域规格.
主要成果:
- 提出的不确定的模型准确地模拟了SPCS在动态天气条件下运行.
- 与标准P&O-MPPT方法相比,强有力的控制策略表现出优越的性能和稳定性.
- 实验结果证实了新控制策略的有效性,特别是在突然的气象变化和不同负载下.
结论:
- 新的不确定性模型和强大的控制策略显著提高了SPCS的性能和可靠性.
- 开发的方法提供了增强的跟踪动态,噪声抑制和减弱模型不确定性.
- 这种方法为在不可预测的现实条件下进行太阳能转换提供了更有效的解决方案.
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