基于调度业务模型和大数据驱动的电网智能状态感知体系设计  

Design of Intelligent State-Aware System for Power Grid Based on Dispatching Business Model and Big Data Drive

作　　者：蔡新雷 齐颖 CAI Xinlei;QI Ying(Electric Power Dispatching and Control Center of Guangdong Power Grid,Guangzhou 510600,China;Guangdong Rural Credit Union Bank YINXIN Center,Guangzhou 510600,China)

机构地区：[1]广东电网有限责任公司电力调度控制中心,广东广州510600 [2]广东省农村信用社联合社银信中心,广东广州510600

出　　处：《电工技术》2021年第1期94-95,98,共3页Electric Engineering

摘　　要：针对电网实时调度业务引入人工智能技术,采用调度业务模型和大数据驱动,以安全防误为准则,打通横纵向业务系统,构建辅助调控人员开展日常业务工作的一体化、自动化、智能化的体系,实现降低调控人员负载率及提高电网操作安全性、便捷性的目标。系统具备对任务有序编排、安全防误、重要消息提醒、人机智能交互能力,可实现辅助驾驶与自动驾驶,利用机器学习扩充知识库,主动感知分析电网运行事件,提升调度业务水平和电网安全性。Artificial intelligence technology was introduced for real-time dispatching business of power grid.Driven by scheduling business model and big data,taking safety and error prevention as the criterion,through the horizontal and vertical business system,an integrated,automated and intelligent system that assists regulators in their daily business work was built.The system had the ability of orderly scheduling of tasks,safety and error prevention,important message reminders,and human-machine intelligent interaction.The functions such as assisted driving and automatic driving,using machine learning to expand the knowledge base,actively perceiving and analyzing power grid operation events were achieved.The level of dispatching services and power grid security was improved.

关 键 词：调度业务 人工智能 数据驱动 智能状态感知 辅助决策 

分 类 号：TM734[电气工程—电力系统及自动化]