摘要
电力系统的复杂性和不确定性增加导致传统的电力调度方式难以满足现代电力系统的需求。因此,文章探讨基于大数据的电力调度决策支持系统和大数据技术在电力调度中的应用。该平台融合人工智能技术和改进方案增强电能分配的系统性、精确度与自动化程度,实现对电力负荷预测、发电计划优化、故障诊断与恢复等关键环节的支持。实证研究揭示基于海量数据分析的电力监控决策辅助系统,可以有效增强电力传输网的操作效能和稳定性。
The increasing complexity and uncertainty of the power system make it difficult for traditional power dispatch methods to meet the needs of modern power systems.Therefore,the article explores the application of big data based power dispatch decision support systems and big data technology in power dispatch.This platform integrates artificial intelligence technology and improvement solutions to enhance the systematicity,accuracy,and automation of power distribution,achieving support for key links such as power load forecasting,generation plan optimization,fault diagnosis,and recovery.Empirical research has revealed that power monitoring decision support systems based on massive data analysis can effectively enhance the operational efficiency and stability of power transmission networks.
作者
李志华
LI Zhihua(Yangquan Power Supply Company of State Grid Shanxi Electric Power Company,Yangquan 045000,China)
出处
《通信电源技术》
2024年第14期55-57,共3页
Telecom Power Technology
关键词
大数据
电力调度
决策支持系统
机器学习
负荷预测
big data
electric power dispatching
decision support system
machine learning
load forecasting