Abstract
Distributed generation is a new type of environment-friendly energy, which has a good development prospect. However, due to its inherent defects, it is still difficult to be widely used in large-scale access points and loads. As a new type of distributed power supply, Micro grid is decentralized and intermittent in power supply. In order to make rational use of power grid resources, it is necessary to optimize the distributed energy storage scheduling. The particle swarm optimization algorithm proposed in this paper is also to improve the data processing capacity of the scheduling system. This paper mainly uses the experimental comparison method and particle swarm optimization algorithm to study the micro grid distributed energy storage scheduling optimization. The experimental results show that the FCPSO algorithm takes the least time, only 7s, and has the lowest cost. Therefore, this algorithm can be used for in-depth analysis of micro grid scheduling.
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