The research’s main goal is to produce an approach for dual stage-frequency control using a running city game optimizer. The predominant aim of a controller is to affirm stabilization of the frequency within the micro-grid system and to uphold the equilibrium of load demand in the event of any irregularities within operational conditions. In this context, one of the contemporary optimization algorithms, known as running city game optimizer (RCGO) is utilized that can lead to superior solutions that improve the performance of the controllers, particularly in dynamic and uncertain environments. To determine optimal parameters of controllers, including Proportional-Integral-Derivative with Filter (PIDF), PID with Proportional-Derivative Filter (PID-PDF), and Proportional-Derivative Filter (PDF), the RGCO algorithm is used. The RCGO algorithm is adept at managing various types of constraints with increased efficiency and is capable of yielding superior solutions. Consequently, the RCGO-based dual-stage frequency controller is positioned to facilitate a dependable operational framework.