Scholarlink

<p>The amalgamation of photovoltaic (PV) microgrid systems with recent utility grid presents significant challenges due to uncertainties in solar energy generation and load demand. This paper explores a robust multivariable H<sub>∞</sub> controller for inverter control in a PV microgrid system under uncertain conditions. The proposed H<sub>∞</sub> control approach effectively mitigates disturbances and system uncertainties while maintaining voltage and frequency stability. A comprehensive model of the PV system is designed, incorporating uncertainties in its resistances and inductances. The efficacy of the H<sub>∞</sub> controller is evaluated through simulations results using MATLAB and experimental results using OPAL-RT Hardware-In-Loop simulator. Both set of results demonstrate effectiveness of proposed controller in enhancing system resilience compared to conventional control methods like Proportional-Integral and Fractional-order-Proportional-Integral (FOPI) controllers. The parameters of all the controllers (H<sub>∞</sub>, PI and FOPI) are optimised using Water Evaporation Optimisation algorithm for better comparison. The simulation and experimental results highlight the advantage of the presented controlling strategy in improving robustness, reliability, and stability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Robust Control Under Uncertainty of a Photovoltaic Microgrid System with an H∞ Controller

  • 期刊论文

  • 发表日期：

    2025年8月27日

查看全文
  • Sangram Sekhar,
  • Raseswari Pradhan,
  • Swati Sucharita Pradhan

摘要

The amalgamation of photovoltaic (PV) microgrid systems with recent utility grid presents significant challenges due to uncertainties in solar energy generation and load demand. This paper explores a robust multivariable H∞ controller for inverter control in a PV microgrid system under uncertain conditions. The proposed H∞ control approach effectively mitigates disturbances and system uncertainties while maintaining voltage and frequency stability. A comprehensive model of the PV system is designed, incorporating uncertainties in its resistances and inductances. The efficacy of the H∞ controller is evaluated through simulations results using MATLAB and experimental results using OPAL-RT Hardware-In-Loop simulator. Both set of results demonstrate effectiveness of proposed controller in enhancing system resilience compared to conventional control methods like Proportional-Integral and Fractional-order-Proportional-Integral (FOPI) controllers. The parameters of all the controllers (H∞, PI and FOPI) are optimised using Water Evaporation Optimisation algorithm for better comparison. The simulation and experimental results highlight the advantage of the presented controlling strategy in improving robustness, reliability, and stability.