摘要
文章旨在通过结合大数据技术和人工智能技术,对配电网进行智能化改进,提出相应的优化措施。文章通过传统配电网优化运行方法进行分析,在传统配电网优化运行方法的基础上,提出采用大数据技术和人工智能技术中的强化学习方法对配电网进行智能化优化的方法,并对强化学习法的几种常见方法及其应用进行了详细的介绍;通过典型案例分析,验证了基于大数据技术和人工智能技术的配电网优化措施的实效和可行性。通过文章的研究,笔者期望能够为配电网的优化和智能化改造提供一定的理论和技术支持,为构建智能电网和实现可持续发展作出贡献。同时,也希望对大数据技术和人工智能技术在能源领域的应用和未来发展进行深入探讨,为相关领域的研究和实践提供一定的参考和借鉴价值。
The aim of this article is to propose corresponding optimization measures for the intelligent improvement of the distribution network by combining big data technology and artificial intelligence technology.Firstly,this article analyzes the traditional optimization methods of distribution network operation.Based on the traditional optimization methods of distribution network operation it proposes a method of intelligent optimization of the distribution network by using reinforcement learning method in big data technology and artificial intelligence technology and introduces several common methods and their applications of reinforcement learning method in detail.Through typical case analysis the effectiveness and feasibility of the optimization measures of distribution network based on big data technology and artificial intelligence technology are verified.The conclusion part summarizes the work results of the full text.Through this study the author hopes to provide certain theoretical and technical support for the optimization and intelligent transformation of the distribution network and contribute to the construction of smart grid and the realization of sustainable development.At the same time the author also hopes to explore the application and future development of big data technology and artificial intelligence technology in energy field through this study providing certain reference and reference value for the research and practice in related fields.
作者
李文献
Li Wenxian(Qingshen County Power Supply Branch,Sichuan Electric Power Company,Meishan 620400,China)
出处
《无线互联科技》
2023年第23期103-106,110,共5页
Wireless Internet Technology
关键词
配电网
大数据技术
人工智能技术
优化措施
强化学习方法
distribution network
big data technology
artificial intelligence technology
optimization measures
reinforcement learning method
