Bio-inspired mitochondrial energy optimization for enhanced grid-connected inverter performance in weak grid systems

This paper presents a novel Mitochondrial Energy Production Optimization (MEPO) algorithm for enhancing grid-connected inverter control under weak grid conditions. The proposed bio-inspired approach addresses critical challenges in maintaining power quality and system stability in low Short Circuit Ratio (SCR) environments while ensuring robust performance during grid disturbances. A comprehensive LCL filter design achieves [Formula: see text] magnitude attenuation with [Formula: see text] phase margin at the resonant frequency of [Formula: see text], providing superior harmonic suppression. The MEPO controller demonstrates exceptional performance with current Total Harmonic Distortion (THD) of [Formula: see text], significantly outperforming Particle Swarm Optimization ([Formula: see text]) and Genetic Algorithm ([Formula: see text]) approaches. Dynamic response tests confirm rapid settling times of [Formula: see text] for current control and voltage regulation within [Formula: see text], while maintaining a power factor of 0.998. Experimental validation on a [Formula: see text] prototype verifies the algorithm's effectiveness, achieving precise d-q axis current control with steady-state errors below [Formula: see text] and robust frequency tracking at [Formula: see text]. Rigorous statistical analysis across 100 independent trials validates the algorithm's reliability with a [Formula: see text] success rate and [Formula: see text] faster convergence than conventional methods. The proposed MEPO solution represents a significant advancement in grid-connected inverter technology, particularly beneficial for renewable energy integration in weak grid environments.