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

Abstract 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 $$-53.31~\text {dB}$$ magnitude attenuation with $$115.57^\circ$$ phase margin at the resonant frequency of $$100~\text {kHz}$$ , providing superior harmonic suppression. The MEPO controller demonstrates exceptional performance with current Total Harmonic Distortion (THD) of $$1.8\%$$ , significantly outperforming Particle Swarm Optimization ( $$2.5\%$$ ) and Genetic Algorithm ( $$2.7\%$$ ) approaches. Dynamic response tests confirm rapid settling times of $$2.5~\text {ms}$$ for current control and voltage regulation within $$\pm 1\%$$ , while maintaining a power factor of 0.998. Experimental validation on a $$10~\text {kW}$$ prototype verifies the algorithm’s effectiveness, achieving precise d-q axis current control with steady-state errors below $$0.5\%$$ and robust frequency tracking at $$49.9~\text {Hz}$$ . Rigorous statistical analysis across 100 independent trials validates the algorithm’s reliability with a $$95\%$$ success rate and $$43.2\%$$ 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.