Research on smart grid modeling and control strategy based on artificial intelligence algorithm
As the global energy transition progresses and technology continually advances,the smart grid has gradually garnered widespread attention as a pivotal component in the future energy sector.This paper systematically investigates the utilization of artificial intelligence(AI)techniques,particularly neural network methodologies and reinforcement learning approaches,for the efficient modeling and control strategy design of the smart grid.By successfully integrating AI techniques into the modeling and control strategy design of the smart grid,tangible research outcomes have been achieved.Looking forward,as technology evolves,these methods hold the potential to further propel the automation and intelligence of the smart grid,making significant contributions to the global energy transition and sustainable development.
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