Optimized carbon emission dispatch of power systems based on backpropagation algorithm

Abstract With the intensification of global climate change, carbon emissions from power systems have become an increasingly serious issue. Optimizing power system dispatch to reduce carbon emissions has become an urgent need. This paper proposes a power system carbon emission optimization dispatch model based on the backpropagation algorithm. By incorporating a genetic algorithm to optimize the backpropagation algorithm, the model improves the dispatch efficiency of power systems while reducing carbon emissions. Experimental results show that the improved model has significant advantages in terms of convergence speed and global optimal solution. It can effectively handle the scheduling tasks of power systems with multiple constraints and demonstrates strong adaptability and optimization performance under different load conditions.