DESIGN AND CONTROL OF A FIRE HAWK OPTIMIZED 51-LEVEL ASYMMETRICAL MULTILEVEL INVERTER FOR IMPROVED STABILITY IN ISLANDED SINGLE-PHASE COMMUNITY MICROGRIDS

Abstract

This paper introduces a novel 51-level multi-level inverter (MLI) topology, addressing the challenge of minimizing component count in renewable energy systems. The proposed design features a hybrid asymmetrical configuration with reduced switches and Direct Current (DC)sources, enhancing efficiency and reducing complexity. To optimize power extraction from photovoltaic (PV) sources, a Walrus Optimized Recurrent Neural Network (WO-RNN) is employed, accurately predicting the maximum power point (MPP) under varying conditions. A Fire Hawks Optimization (FHO) based Cascaded Tilt Fractional Order Proportional Integral-Fractional Order Tilt Derivative (C-TFOPI-FOTD) controller governs the switching pulses of the MLI, ensuring precise voltage regulation and harmonic reduction. The proposed inverter control employs FHO due to its superior exploration exploitation balance and rapid convergence compared to conventional techniques such as PSO or GA. Simulation results confirm that FHO-optimized switching reduces THD and improves efficiency, validating its effectiveness for this system. In this work, a hybrid system integrates PV and wind power is used as input source. Simulation results, conducted in MATLAB/SIMULINK under an islanded single-phase microgrid with AC load, validate the effectiveness of the proposed system. The simulations demonstrate a low Total Harmonic Distortion (THD) of 1.29% for voltage and 1.78% for current, indicating high power quality. Furthermore, the proposed inverter topology achieves a high efficiency of 95.653%, attributed to reduce switching and conduction losses. These findings confirm the theoretical analysis and practical viability of the proposed 51-level MLI and its associated control strategies for the efficient integration of renewable energy sources into microgrid systems.

DOI: 10.46121/pspc.53.4.22