Research on load modeling and forecasting algorithm of automobile charging station based on GA

Today, with the global climate deterioration, urban pollution and oil crisis becoming more and more serious, electric vehicles, as the representative of new energy load, have alleviated these three problems at one fell swoop, which has also made breakthroughs in the development and production of electric vehicles, indicating that more and more electric vehicles are about to be connected to the power grid. The most basic work of large-scale charging load prediction and evaluation is the load modeling of electric vehicle charging stations, which will directly affect the power grid. This paper studies the load modeling and forecasting algorithm of automobile charging station based on GA. GA is used. Its principle is that GA is similar to natural evolution, which solves the problem by acting on the genes on the chromosome to find the best chromosome. Similar to nature, GA knows nothing about the problem itself. What it needs is only to have more breeding opportunities for the chromosomes generated by GA. After research, the research effect of this paper is remarkable, and it is suitable to be widely used.