Substation Lighting Control System for Smart Grid:Energy Efficiency Optimization Based on AI Perception and Adaptive Algorithms
XIE Shuke
ZHANG Nan
Abstract：To optimize energy efficiency management,this paper has developed a substation lighting control system based on AI perception and adaptive algorithms.Through the collection and fusion of multi-source sensor data,a high-precision environmental perception module is constructed.Combined with deep learning and fuzzy control,a lighting hierarchical control strategy is designed.Additionally,a dynamic power regulation and energy efficiency closed-loop control module is also designed to ensure the optimal energy efficiency of the system in complex environments.The system also achieves adaptive regulation through reinforcement learning and fuzzy control.Through simulation platform testing and field application verification,the results show that the system exhibits excellent performance in terms of energy efficiency,power stability,and response speed,providing an effective solution for energy efficiency management in smart grids.
Keywords：smart gridsubstation lightingAI perceptionadaptive algorithm
Publication Date：2026-02-25
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：4( 169-171,180 )