Optimal Configuration of Composite Energy Storage Based on Quantum Genetic Algorithm with Minimizing Life Cycle Cost for Distribution Network

Key Points

• Optimal configurations achieved a significant decrease in life cycle costs, indicating better financial viability for energy systems.
• The analysis utilized a quantum genetic algorithm to enhance decision-making and optimize energy storage configurations.
• Results emphasize the importance of optimizing composite energy storage systems for efficient energy distribution and management.
• These findings may enable more sustainable energy practices, though external validation is needed for broader application.