基于数据驱动的电网电力供应保障与调度管理  

Data-driven Grid Power Supply Assurance and Dispatch Management

作　　者：叶润森 刘志添 黄康君 童曦贤 YE Runsen;LIU Zhitian;HUANG Kangjun;TONG Xixian

机构地区：[1]广东电网有限责任公司广州供电局,广东广州510510

出　　处：《电力系统装备》2024年第9期91-93,共3页Electric Power System Equipment

摘　　要：文章探讨了数据驱动在电网电力供应保障与调度管理中的关键应用。通过分析实时数据、预测负荷需求、优化能源调度以及风险管理与应急响应,讨论了数据驱动方法在电力系统运行中的作用。首先通过数据驱动的实时负荷预测,系统能够更准确地预测未来需求,为资源分配和供电策略提供支持。其次研究了智能电网与能源储存技术的整合。数据驱动的方法有助于优化能源储存利用,提高系统的韧性和可靠性,同时最大化可再生能源的利用率。进一步论述了风险管理与应急响应。通过数据驱动的风险预测和实时监测,系统能够识别潜在风险并迅速响应,以确保电力系统的稳定性和可靠性。最后讨论了智能调度与优化算法,通过结合历史数据和实时信息,优化能源分配和设备运行模式,提高电力系统的效率和灵活性。The article explores the key applications of data-driven approaches in ensuring power supply and scheduling management in the power grid.The role of data-driven methods in power system operation was discussed by analyzing real-time data,predicting load demand,optimizing energy dispatch,and risk management and emergency response.Firstly,through data-driven real-time load forecasting,the system can more accurately predict future demand,providing support for resource allocation and power supply strategies.Secondly,the integration of smart grid and energy storage technology was studied.The data-driven approach helps optimize energy storage and utilization,improve system resilience and reliability,while maximizing the utilization of renewable energy.Further elaborated on risk management and emergency response.Through data-driven risk prediction and real-time monitoring,the system is able to identify potential risks and respond quickly to ensure the stability and reliability of the power system.Finally,intelligent scheduling and optimization algorithms were discussed.By combining historical data and real-time information,energy allocation and equipment operation modes were optimized to improve the efficiency andflexibility of the power system.

关 键 词：数据驱动 电网 决策支持 风险管理 

分 类 号：TM73[电气工程—电力系统及自动化]