Robust control strategy for power/frequency regulation in autonomous microgrid system.

This paper proposes a novel control mechanism for the reliable and stable operation of isolated microgrid (MG) systems, which face higher operational complexity due to the involvement of intermittent and uncertain renewable energy sources. The proposed control approach is based on a scaling factor-based fuzzy proportional-integral-derivative with filter-(one plus integral) controller designed using the Prairie dog optimization algorithm. The MG system comprises a biodiesel engine generator, solar photovoltaics, wind turbine generator as distributed generation unit, ultra-capacitor, and flywheel are included as energy storage systems. The performance of the proposed controller is examined with other state-of-the-art control approaches in various real-time scenarios. In addition, the effectiveness of the controller during the integration of electric vehicles (EVs) into the MG has been analyzed. Furthermore, the efficacy of the proposed approach has been confirmed by testing various scenarios for robustness analysis. The results indicate that the proposed controller outperforms other approaches and achieves minimum settling time (10.25 s), undershoot (0.0037 Hz), and overshoot (0.0006 Hz) after the integration of EVs. Overall, the proposed control approach demonstrates its effectiveness to sustain the robust operation of autonomous microgrid system. [ABSTRACT FROM AUTHOR]