Hybrid multi-objective optimization of μ-synthesis robust controller for frequency regulation in isolated microgrids

被引：0
作者：
Mohammed, Abdallah [1 ]
Kadry, Ahmed [1 ]
Abo-Adma, Maged [1 ]
El Samahy, Adel [1 ]
Elazab, Rasha [1 ]
机构：
[1] Helwan Univ, Fac Engn, Cairo, Egypt
来源：
SCIENTIFIC REPORTS | 2025年 / 15卷 / 01期
关键词：
Optimal mu-synthesis controller; Isolated microgrid; Frequency regulation; Robust performance; Robust stability; Multi-objective optimization; CONTROL STRATEGY; DESIGN; SYSTEM; PSO;
D O I：
10.1038/s41598-025-85910-6
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Frequency regulation in isolated microgrids is challenging due to system uncertainties and varying load demands. This study presents an optimal mu -synthesis robust control strategy that regulates microgrid frequency while enhancing system performance and stability-a proposed fixed-structure approach for selecting performance and robustness weights, informed by subsystem frequency analysis. The controller is optimized using multi-objective particle swarm optimization (MOPSO) and multi-objective genetic algorithm (MOGA) under inequality constraints, employing a Pareto front to identify optimal solutions. Comparative analyses demonstrate that the MOPSO-optimized controller achieves superior robustness and performance, tolerating up to 236% uncertainty compared to 171% for conventional mu -synthesis controllers. Additionally, it significantly reduces frequency deviation and enhances transient response. Nyquist stability analysis confirms robustness across renewable energy uncertainties. The results highlight the proposed controller's effectiveness in isolated microgrid frequency regulation, with future work focused on discrete-time implementation for practical digital signal processing (DSP) applications.
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页数：24
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