基于配网可视化系统的配变重过载预测算法研究  

Research on Overload Prediction Algorithm of Distribution Transformer Based on Distribution Network Visualization System

作　　者：吴蓓婷 Wu Bei-ting(Shanghai Electric Power Company Shibei Power Supply Company,Shanghai 200072,China)

机构地区：[1]上海市电力公司市北供电公司,上海200072

出　　处：《科学与信息化》2024年第21期71-73,共3页Technology and Information

摘　　要：本文探讨了基于配网可视化系统的配变重过载预测算法。研究聚焦于如何利用可视化系统中的数据分析和机器学习技术,实现对配变重过载的精准预测。通过集成实时数据监控、历史负荷分析和智能算法,该系统能够有效识别潜在的重过载风险,提前预警并采取相应措施,从而提高配电网的稳定性和可靠性,减少停电事故的发生,保障电力供应的连续性和安全性。This paper discusses the overload prediction algorithm of distribution transformer based on distribution network visualization system.The research focuses on how to use data analysis and machine learning technology in visualization system to accurately predict the overload of distribution transformer.By integrating real-time data monitoring,historical load analysis and intelligent algorithms,this system can effectively identify potential overload risks,give early warnings and take corresponding measures,thereby improving the stability and reliability of the distribution network,reducing the occurrence of power failure accident,and ensuring the continuity and safety of electricity supply.

关 键 词：配网可视化系统 配变重过载 预测算法 

分 类 号：TM7[电气工程—电力系统及自动化]