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

Area of Science:

• Electrical Engineering
• Control Systems
• Renewable Energy Integration

Background:

• Weak grid conditions, characterized by low Short Circuit Ratio (SCR), pose significant challenges for stable and high-quality power injection from grid-connected inverters.
• Maintaining power quality and system stability during grid disturbances is crucial for reliable operation of renewable energy sources.

Purpose of the Study:

• To introduce and evaluate a novel bio-inspired algorithm, Mitochondrial Energy Production Optimization (MEPO), for advanced control of grid-connected inverters.
• To enhance power quality and system stability in low SCR environments and during grid disturbances.

Main Methods:

• Development of a novel Mitochondrial Energy Production Optimization (MEPO) algorithm for inverter control.
• Design of a comprehensive LCL filter for superior harmonic suppression.
• Implementation and experimental validation on a prototype inverter system.

Main Results:

• The MEPO controller achieved a current Total Harmonic Distortion (THD) of [Formula: see text], significantly outperforming Particle Swarm Optimization ([Formula: see text]) and Genetic Algorithm ([Formula: see text]).
• Demonstrated rapid settling times ([Formula: see text]) for current control and voltage regulation within [Formula: see text], maintaining a power factor of 0.998.
• Experimental validation showed steady-state errors below [Formula: see text] and robust frequency tracking at [Formula: see text].

Conclusions:

• The proposed MEPO algorithm offers a significant advancement in grid-connected inverter control, particularly for weak grid applications.
• The bio-inspired approach ensures robust performance, high power quality, and improved system stability.
• MEPO demonstrates superior convergence speed and reliability compared to conventional optimization methods.