基于人工智能算法的智能电网建模与控制策略研究  

Research on smart grid modeling and control strategy based on artificial intelligence algorithm

作　　者：薛乔溦 XUE Qiaowei(State Grid Fujian Electric Power Co.,Ltd.Fuzhou Changle District Power Supply Company,Fuzhou 350000,China)

机构地区：[1]国网福建省电力有限公司福州长乐区供电公司,福建福州350000

出　　处：《中国高新科技》2024年第9期44-46,共3页

摘　　要：全球能源转型的步伐加快和技术不断进步,使得智能电网成为未来能源领域的关键焦点,并受到广泛关注。文章系统性地探讨了如何利用人工智能技术对智能电网进行高效建模和智能控制,将人工智能技术中的BP神经网络和基于DQN算法的强化学习方法引入智能电网的建模和控制策略设计中,取得了较为良好的研究成果。面向未来,文章所提出的智能电网建模与智能控制策略有望进一步推动电网运行的自动化和智能化,为全球能源转型和可持续发展做出更大的贡献。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.

关 键 词：智能电网 DQN BP神经网络 电网建模 控制策略 

分 类 号：TM76[电气工程—电力系统及自动化]