Optimal scheduling energy for wind-solar-load storage AC-DC hybrid distribution network system based on multi-agent algorithm

Key Points

• The research aims to enhance energy scheduling for hybrid distribution systems integrating wind and solar energy with storage solutions.
• Utilized a multi-agent algorithm to optimize energy distribution.
• Assessed the performance of the wind-solar-load storage system.
• Simulated various scenarios to evaluate scheduling efficiency.
• Achieved increased efficiency in energy usage.
• Reduced operational costs for energy distribution.
• Enhanced reliability of the hybrid system under varying loads.

Abstract