Optimization of Microgrid scheduling based on Dung Beetle Algorithm

The complexity of multi-objective microgrid optimization problems involves issues of multi-source collaboration, multiple constraints, economic and environmental benefits. This article constructs a fitness function with operating costs and environmental costs as the overall operating objectives, and maximizes the utilization rate of renewable energy through the dung beetle optimization algorithm, meeting the load requirements. By comparing two intelligent algorithms, the Dung Beetle algorithm has faster operation speed, faster convergence, and more economical overall operational goals.