通过基于PSO的MPPT和基于PSO的直接扭矩控制使用实时模拟来提高光伏水系统的性能
Ikram Saady1,2, Btissam Majout1, Badre Bossoufi3
1Laboratory of Engineering Modelling and Systems Analysis, Sidi Mohamed Ben Abdellah University Fez, Fes, Morocco.
Scientific reports
|May 9, 2025
概括
粒子集群优化 (PSO) 通过优化控制器来实现最大功率点跟踪 (MPPT) 和直接扭矩控制 (DTC) 来显著改进光伏水系统. 这提高了效率,并减少了功率振荡和波纹.
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
- 电力电子 电力电子 电力电子
背景情况:
- 光伏水系统 (PVWPS) 对于灌和供水至关重要.
- 为最大功率点跟踪 (MPPT) 和直接扭矩控制 (DTC) 优化控制器是PVWPS效率的关键.
- 现有的方法在动态响应和功率质量方面可能存在局限性.
研究的目的:
- 通过使用粒子集群优化 (PSO) 来优化MPPT和DTC控制器来提高PVWPS性能.
- 为了比较基于PSO的控制与基于人工神经网络 (ANN) 的控制的有效性.
- 通过模拟和实时测试来验证拟议的控制战略.
主要方法:
- 实现基于PSO的MPPT控制器,以最大限度地提高光伏阵列输出.
- 在直接扭矩控制 (DTC) 框架内使用PSO优化的比例整合 (PI) 控制器来提高感应电机的效率.
- 在 MATLAB/Simulink 中评估系统性能,并在 dSPACE DS1104 平台上通过实时模拟进行验证.
主要成果:
- 基于PSO的MPPT和DTC显示,功率振荡减少了83.33%.
- 实现了流量 (66.67%) 和扭矩波纹 (60%) 的显著降低.
- 与基于ANN的方法相比,观察到50%的响应时间改善和水流量增加.
结论:
- 拟议的基于公共服务的控制策略为PVWPS提供了卓越的性能,稳定性和可靠性.
- PSO优化在电源质量和动态响应方面提供了实质性的改进.
- 实时验证证实了PSO方法对PVWPS应用的有效性.
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