摘要
人工智能技术能够通过分析电力调度数据高精度,识别和调整自适应参数,对提升电力调度的稳定性具有重要意义。基于此,本文对人工智能模块和自适应广域阻尼控制器的电力调度稳定控制方法展开研究,阐述基于电力调度稳定控制系统的设计思路,并从自适应广域阻尼控制器、人工智能模块、可视化监控曲线3个方面说明电力调度稳定控制系统的搭建方式,最后将本文方法与随机模型预测控制方法和实时调度模型进行对比测试试验,验证了人工智能技术对电力调度系统稳定控制能力的提升。
Artificial intelligence technology plays a crucial role in improving the stability of power dispatching by identifying and adjusting adaptive parameters through high-precision analysis of power dispatching data.This paper focuses on the power dispatching stability control system and presents the design approach behind an artificial intelligence module and adaptive wide-area damping controller power dispatching stability control method.The paper explores the adaptive wide-area damping controller,artificial intelligence module,and visual monitoring curve of the power dispatching stability control system.The proposed stability control method includes both stochastic model prediction control method,and real-time scheduling model line comparison test,which verifies the ability of artificial intelligence technology to enhance the stability control of the electric power dispatching system.
作者
张锐
赵俊炜
ZHANG Rui;ZHAO Junwei(Guangdong Power Grid Co.,Ltd.Dongguan Power Supply Bureau,Dongguan,Guangdong 523000,China)
出处
《自动化应用》
2023年第8期70-73,共4页
Automation Application
关键词
人工智能
电力调度
稳定控制
artificial intelligence
power dispatching
stability control
作者简介
张锐,男,1988年生,工程师,研究方向为配网调度自动化、综合能源技术。
