基于大数据的电力调度决策支持系统研究
Research on Power Dispatching Decision Support System Based on Big Data
李志华1
作者信息
- 1. 国网山西省电力公司阳泉供电公司,山西 阳泉 045000
- 折叠
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.
Abstract
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.
关键词
大数据/电力调度/决策支持系统/机器学习/负荷预测Key words
big data/electric power dispatching/decision support system/machine learning/load forecasting引用本文复制引用
出版年
2024
NETL
NSTL
万方数据