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In order to improve voltage regulation in a four-bus micro grid system (MGS) employing various controllers, this research describes the application of soft computing technique. This micro-grid connecting with AC grid, wind, solar power and battery as a sources and different types of loads. The most sophisticated methods in MGS to increase voltage control and the dynamic responsiveness of the MGS are soft computing techniques including Genetic Algorithm (GA), Fuzzy, and Artificial Intelligence (AI). This study uses FOPID, PR, GA-FOPID, and FL-FOPID controllers to improve MGS’s voltage regulation and current dynamic response during fault or disturbance. Maintaining of voltage regulation is most important in the present modern grid. The comparative Simulink test results of different controllers implemented are explained using MATLAB Simulink software.

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Soft Computing Techniques for Integration and Enhancement of Voltage Regulation in MGS Using FOPID and PR Controllers

  • 会议论文

  • 发表日期：

    2026年

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  • Somala Arjuna Rao,
  • H. R. Ramesh

摘要

In order to improve voltage regulation in a four-bus micro grid system (MGS) employing various controllers, this research describes the application of soft computing technique. This micro-grid connecting with AC grid, wind, solar power and battery as a sources and different types of loads. The most sophisticated methods in MGS to increase voltage control and the dynamic responsiveness of the MGS are soft computing techniques including Genetic Algorithm (GA), Fuzzy, and Artificial Intelligence (AI). This study uses FOPID, PR, GA-FOPID, and FL-FOPID controllers to improve MGS’s voltage regulation and current dynamic response during fault or disturbance. Maintaining of voltage regulation is most important in the present modern grid. The comparative Simulink test results of different controllers implemented are explained using MATLAB Simulink software.