A Five Level Inverter With Three Tyre Meta-Heuristic Aware Optimal Parameter Selection

Abstract

In recent years, Multi-Level Inverters (MLIs) have gained significant traction in industrial and grid-connected settings owing to their numerous benefits. To enhance the efficiency of grid-connected PV systems employing five-level inverters, three controllers are employed to govern the control process. The control scheme comprises three loops utilizing FOPI, PID, and PI controllers: one for regulating the intermediate circuit voltage (Vdc) and the remaining two for managing the direct and quadratic currents (Ix, Iy) provided by the multilevel inverter. Precise selection of controller parameters (Kp, KI, λ) is imperative to elevate the efficiency of the multi-level inverter while simultaneously reducing the total harmonic distortion (THD) in both voltage and current output. Similarly, optimization of parameters for PID and PI controllers in the Buck converter is carried out to enhance the system's performance. This optimization employs three-level algorithms including Gradient Optimization Algorithms (GOA), Self-Adaptive-Gradient Optimization Algorithms (SA-GOA), and Aquila Improved GOA (AI-GOA). The study evaluates and compares the performance of three controllers: GOA-FOPI, AI-GOA-PID, and SA-GOA-PI, employing various methodologies. The results validate the effectiveness of the proposed system in minimizing THD. The simulation is conducted using MATLAB/Simulink.