Optimal Configuration of Microgrid with Gravity Energy Storage based on Improved Whale Algorithm

In view of the low utilization rate of renewable energy in the microgrid and the poor controllability of new energy output, it is highly dependent on the upper grid. This paper establishes a microgrid model with gravity energy storage as the core and wind power and photovoltaic power as power sources. Taking the self-power supply rate of the microgrid and new energy abandonment rate as optimization indicators, and the lowest average daily operating cost as the objective function, the model is solved by an improved whale algorithm. In the simulation analysis, the operation results in different modes are compared through the analysis of a variety of working conditions. The conclusion shows that the configuration of gravity energy storage components can improve the utilization rate of renewable energy and self-power supply within the microgrid, and reduce the investment and operating costs of the grid-connected/island mode, which verifies the effectiveness of the model and algorithm.