Optimization of Microgrid Hybrid Energy Storage System Operation Based on tGRIME Algorithm

This paper proposes an improved rime algorithm (tGRIME) to optimize microgrid energy management with a hybrid energy storage system. This method utilizes a fusion of the golden sine algorithm (GSA) and an adaptive t-distribution strategy to enhance the global search and local optimization capabilities of the rime algorithm (RIME). The simulation results obtained through tGRIME were compared with three other algorithms, which show that the exchange amount of electricity calculated by the tGRIME is significantly the lowest among the four algorithms, at 0.017MW, which is one-third of the results of the ordinary RIME. The computation time of the tGRIME is 52.12s, which is the second longest among all the four algorithms, as it requires more iterations to find better solutions. These indicates that the tGRIME has better performance in global search and optimization.