Abstract: Due to the intermittency of photovoltaic power generation and the volatility of loads, it is difficult to ensure the dispatching effect of low-voltage microgrids. A dispatching method for photovoltaic-storage low-voltage microgrids at subway stations based on dynamic load adjustment is proposed. Economic and energy-saving rate maximization goals, as well as power balance and energy storage battery constraints, are set. A load dynamic adjustment mechanism is introduced to construct a dispatching model for photovoltaic-storage low-voltage microgrids at subway stations. The particle swarm optimization algorithm is used to solve the model, yielding the optimal dispatching strategy for photovoltaic-storage low-voltage microgrids at subway stations. Experimental results show that the design method has significant advantages in peak shaving and valley filling, as well as in reducing operating costs, demonstrating good dispatching effects for photovoltaic-storage low-voltage microgrids at subway stations.