混合多目标优化μ合成强大的控制器,用于隔离微电网中的频率调节
Abdallah Mohammed1, Ahmed Kadry2, Maged Abo-Adma1
1Faculty of Engineering, Helwan University, Cairo, Egypt.
Scientific reports
|January 17, 2025
概括
本研究介绍了孤立微电网的最佳稳健控制策略,显著改善了频率调节和对不确定性的稳定性. 与传统方法相比,开发的控制器表现出卓越的性能和稳定性.
科学领域:
- 电气工程 电气工程
- 控制系统 控制系统
- 可再生能源系统可再生能源系统
背景情况:
- 孤立的微电网在频率调节方面面临重大挑战,原因是无法预测的系统不确定性和波动的负载需求.
- 现有的控制策略通常在这些动态条件下难以保持稳定性和性能.
研究的目的:
- 开发和评估一个最佳的μ合成强大的控制策略,用于在孤立的微电网中增强频率调节.
- 通过使用一种新的固定结构重量选择方法,提高系统性能,稳定性和对不确定性的稳定性.
主要方法:
- 开发了一种固定结构方法来选择性能和强度的重量,该方法由子系统的频率分析提供信息.
- 在不平等约束下,μ合成强大的控制器使用多目标粒子群优化 (MOPSO) 和多目标遗传算法 (MOGA) 进行了优化.
- 使用帕雷托前端分析来确定最佳控制器解决方案.
主要成果:
- 经过MOPSO优化的控制器表现出卓越的稳定性,能够承受高达236%的不确定性,而传统μ合成控制器的不确定性为171%.
- 拟议的控制器显著减少了频率偏差,并改善了短暂响应.
- 尼奎斯特稳定性分析证实了控制器在可再生能源的不确定性方面具有强度.
结论:
- 建议的最佳μ合成强大的控制策略对于孤立微电网的频率调节非常有效.
- 控制器提高了系统的稳定性和性能,同时保持了对重大不确定性的稳定性.
- 未来的研究将专注于对实用的数字信号处理 (DSP) 应用的离散时间实现.
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