An Intelligent Source-Network-Load-Storage Configuration Method Based on Moth-Flame Optimization
Te Li, Liwei Zhang, Ruihan Duan, Chuan Tong, Yan Liu, Litao Shi, Chao Gao · 2024
The source-network-load-storage configuration of large-scale power systems plays an important role in the stability and efficiency of new power systems. Apply the Analytical Hierarchy Process to find a goal function with indices including the consumption amount of new energy, the proportion of annual consumption of new energy, the comprehensive utilization rate of new energy, the construction investment, and the emission of carbon, etc. Then use Moth-Flame Optimization to optimize the configuration. Compared to the conventional calculation method, Moth-Flame Optimization achieves the production simulation of source-network-load-storage integration and has a relatively high comprehensiveness of indices. Meanwhile, it can avoid the inconvenience of conventional methods, accelerate the solving speed, and improve the accuracy of the calculation results.