基于大数据分析的电网负荷预测与调控策略研究  

Research on power grid load forecasting and control strategy based on big data analysis

作　　者：钟秋添 朱志鑫 吴益斌 李德才 ZHONG Qiutian;ZHU Zhixin;WU Yibin;LI Decai(State Grid Longyan Electric Power Co.,Ltd.,Longyan,Fujian 364031,China)

机构地区：[1]国网龙岩供电公司,福建龙岩364031

出　　处：《计算机应用文摘》2024年第24期164-166,共3页

摘　　要：文章研究了基于大数据分析的电网负荷预测与调控策略,探讨了大数据技术在电网负荷预测中的应用,分析了影响电网负荷的关键因素,并详细介绍了电网负荷预测模型的构建过程。此外,文章讨论了负荷预测结果对电网调控策略的影响,探讨了不同类型的调控策略,并介绍了在大数据支持下的智能调控方法。通过准确的负荷预测和有效的调控策略,旨在提升电网的运行效率和稳定性,保障电力系统的安全运行。The article studies the power grid load forecasting and regulation strategies based on big data analysis,explores the application of big data technology in power grid load forecasting,analyzes the key factors affecting power grid load,and details the construction process of power grid load forecasting models.In addition,the article discusses the impact of load forecasting results on power grid regulation strategies,explores different types of regulation strategies,and introduces intelligent regulation methods supported by big data.Through accurate load forecasting and effective regulation strategies,the aim is to improve the operational efficiency and stability of the power grid,and ensure the safe operation of the power system.

关 键 词：大数据 电网负荷预测 调控策略 

分 类 号：TM715[电气工程—电力系统及自动化]