基于人工智能的配电网负荷预测和优化控制方法研究  

Research on Distribution Network Load Prediction and Optimal Control Method Based on Artificial Intelligence

作　　者：张少华 ZHANG Shaohua(Taizhou Jiangyan Power Supply Office,Jiangyan District,Taizhou 225599,China)

机构地区：[1]泰州市姜堰区姜堰供电所,江苏泰州225599

出　　处：《通信电源技术》2024年第15期110-112,共3页Telecom Power Technology

摘　　要：针对配电网的负荷预测和优化控制问题进行深入研究,并结合人工智能技术手段加以解决。针对配电网负荷预测的基本原理进行分析,在此基础上提出并构建人工智能负荷预测模型,探讨基于人工智能的优化控制策略的设计与实现方法。通过案例分析,验证所提方法的有效性和实用性,为配电网的稳定运行提供技术支持。The load forecasting and optimal control of distribution network are deeply studied and solved by artificial intelligence technology.Based on the analysis of the basic principle of distribution network load forecasting,an artificial intelligence load forecasting model is proposed and constructed,and the design and implementation method of optimal control strategy based on artificial intelligence is discussed.Through case analysis,the effectiveness and practicability of the proposed method are verified,which provides technical support for the stable operation of distribution network.

关 键 词：人工智能 配电网 负荷预测 优化控制 

分 类 号：TM715[电气工程—电力系统及自动化] TP18[自动化与计算机技术—控制理论与控制工程]