在光伏水中使用GTO优化的PI控制器控制感应电机的高效预测扭矩控制
Ridha Kechida1, Abdelmalek Gacem2, Mabrouka Romdhane3
1LNTDL Laboratory, Department of Electrical Engineering, University of El Oued, El Oued, Algeria. ridha-kechida@univ-eloued.dz.
Scientific reports
|March 14, 2026
概括
本研究介绍了一种使用大猩猩部队优化 (GTO) 进行增强控制的优化光伏水系统 (PVWPS). 在不同的条件下,GTO-PTC方法显著提高了系统的效率和稳定性.
科学领域:
- 可再生能源系统可再生能源系统
- 控制工程 控制工程 控制工程
- 优化算法 优化算法
背景情况:
- 光伏水系统 (PVWPS) 对于灌和供水至关重要.
- 可变的气候条件对PVWPS的性能和稳定性构成挑战.
- 传统的控制策略通常在效率和动态响应方面表现出局限性.
研究的目的:
- 提出和评估一个集成和最佳调节的光伏水系统 (PVWPS).
- 在可变的气候条件下提高PVWPS的性能和运行稳定性.
- 为了比较直接扭矩控制 (DTC),预测扭矩控制 (PTC) 和一种新的大猩猩部队优化-PTC (GTO-PTC) 策略的有效性.
主要方法:
- 实施和比较三个控制策略:DTC,PTC和GTO-PTC与优化的PI速度控制器.
- 应用大猩猩部队优化 (GTO) 来调整比例积分 (PI) 控制器参数以提高性能.
- 采用最大功率点跟踪 (MPPT) 的增量导电算法来最大限度地提取能量.
- 在各种操作场景下使用MATLAB/Simulink进行系统开发和测试.
主要成果:
- 预测扭矩控制 (PTC) 与直接扭矩控制 (DTC) 相比表现优越,减少扭矩和流量波动,改善电流质量.
- 与传统方法相比,拟议的PI-GTO-PTC战略显著提高了控制精度,并减少了振荡.
- 优化的系统显示了整体效率的提高和更快的动态响应.
- 增量传导 MPPT 算法确保了能量提取的高精度和出色的稳定性.
结论:
- 该GTO-PTC战略在控制光伏水系统方面取得了重大进展.
- 优化的PVWPS表现出高性能和运行稳定性,使其适用于可变的气候条件.
- 这项研究为太阳能供电的水应用提供了强大而高效的解决方案.
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