摘要
在“双碳”目标背景下,热工自动化系统的智能化改造成为提升火电机组灵活性与能效的关键路径。本研究提出了一种基于智能智慧发电技术的三级架构改造方案,融合边缘计算、数字孪生和人工智能算法,实现了某600 MW超临界机组的全流程智能化升级。通过部署142个智能测点、构建数字孪生体和优化控制策略,系统供电煤耗降低2.1 g/kWh,主保护误动次数归零,汽温波动幅度缩小至±3℃。实证表明,该方案显著提升了机组的经济性、安全性与环保性能,为传统火电的智能化转型提供了可复制的技术范式。
Against the backdrop of the"dual carbon"goals,the smart transformation of thermal automation systems has become a key path to enhance the flexibility energy efficiency of thermal power units.This research proposes a three-level architecture transformation scheme based on smart power generation technology,integrating edge computing,digital twin,and AI algorithms to realize a full-process smart upgrade of a 600 MW supercritical unit.By deploying 142 smart measuring points,constructing a digital twin,and optimizing control strategies,the system's coal consumption rate has decreased by 2.1 g/kWh,the number of main protection misoperations has been reset to zero,and the fluctuation amplitude of steam temperature has been reduced to±3℃.The empirical results show that the scheme significantly improves the economic,safety,and environmental performance of the unit,providing a replicable technological paradigm for the smart transformation of traditional thermal power.
作者
杜赢
DU Ying(Guoneng Yuedian Taishan Power Generation Co.,Ltd.,Taishan,Guangdong Province,529228 China)
出处
《科技资讯》
2025年第24期81-83,共3页
Science & Technology Information
关键词
热工自动化
智能化改造
数字孪生
边缘计算
Thermal automation
Smart transformation
Digital twin
Edge computing
