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

Mrinal Kanti Rajak1, Rajen Pudur2

  • 1Department of Electrical Engineering, National Institute of Technology Arunachal Pradesh, Jote, Itanagar, Arunachal Pradesh, 791113, India. mrinal.phd20@nitap.ac.in.

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Summary

A new Mitochondrial Energy Production Optimization (MEPO) algorithm enhances grid-connected inverter control in weak grids. This bio-inspired method improves power quality and stability, outperforming existing optimization techniques.

Keywords:
Bio-inspired optimizationGrid-connected inverterMEPO algorithmPower quality optimizationRenewable energy integrationWeak grid control

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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.