In a standalone microgrid (SMG) system, frequency deviation can indeed be a significant issue because some Renewable energy Source like wind power and solar power are intermittent in nature. The problem is exacerbated by the low inertia characteristic of these systems. Incorporating energy storage systems offers a solution to address frequency deviations by swiftly responding to imbalances between power generation and consumption. Moreover, employing controllers tuned with optimization techniques enhances the effectiveness of managing frequency deviations in the system. Thus, this study provides a Tilt Integral Derivative (TID) controller based on the Marine Predator algorithm (MPA) for the purpose of load frequency control (LFC) of the considered SMG. The study is also validated in real time using OPAL-RT digital simulator. To demonstrate the efficacy, the performance of the proposed controller and algorithm has been compared with that of conventional controllers and algorithms. According to simulation data, MPA tuned TID controller produces the best frequency regulation when it comes to peak overshoot/undershoot, and setting time under various operating scenarios when compared to conventional controllers.


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    Title :

    Optimal Frequency Regulation in Standalone Microgrid Using Marine Predator Algorithm


    Contributors:


    Publication date :

    2024-07-31


    Size :

    1657871 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English