Abstract
The power source optimal allocation method is studied based on the improved particle swarm optimization in order to ensure the superiority and rationality of microgrid voltage optimal allocation. According to the weight coefficient optimization configuration objective function and constraint conditions, a microgrid voltage optimization configuration model is established. The inertia weight value in the particle swarm is optimized according to the optimal similarity. The distance scale and the fitting degree are combined. The power source optimization configuration is completed on the basis of increasing the improved particle swarm. The test results show that the average value of the load fluctuation is 4.279, and the average reduction is 7%, which improves the effectiveness and superiority of power source optimal allocation.
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