<p>This paper presents optimization approaches that are essential for designing the most efficient proportional-integral (PI) controller for power converters in grid-connected PV (photovoltaic) systems. This research optimizes the PI controller parameters using a synthetic ecological system. Real-time K_p and K_i data enhances the power quality and stability of a three-phase grid-linked PV inverter system. A PI controller and synchronous reference frame are used to build the proposed controller method. High dynamic responsiveness is achieved by feed-forward compensation inside the current control loop. This research aims to improve the power quality of the inverter system by minimizing the transient response, and overshoot, and achieving zero steady-state error caused by load variation and DC link stability. voltage and frequency stability improvements can be completed rapidly and with less complexity using the Artificial Eco System optimization approach to optimizing PI control settings. For a 2.1&#xa0;kW solar PV system, inverter control is developed in MATLAB/Simulink, and the Artificial Ecosystem Optimization technique is implemented. Total harmonic distortion (THD) variation is kept to a minimum in both the simulated and real-world experiments when PI and Augmented full state feedback controller performances are compared with and without an optimization method.</p>