火电厂电气自动化系统改进研究  

Research on Improvement of Electrical Automation System in Thermal Power Plants

作　　者：杨东林 YANG Dong-lin(Guizhou Xingyi Electric Power Development Co.,Ltd.,Xingyi 562422,China)

机构地区：[1]贵州兴义电力发展有限公司,兴义562422

出　　处：《价值工程》2024年第19期91-94,共4页Value Engineering

摘　　要：本研究旨在探讨如何在能源与环境双重压力下提升火电厂电气自动化系统的运行效率及降低能源消耗。通过引入先进的控制算法如蚁群算法和混合算法,增强系统自学习能力;构建模块化、可扩展的设计框架;以及引入远程监控与诊断技术,本研究采用了一系列创新方法以改进电气自动化系统。结果显示,这些策略不仅显著提升了系统的运行效率和稳定性,还大幅降低了维护成本,为系统的持续发展和技术进步提供了坚实基础。结论表明,通过这些技术的应用,火电厂电气自动化系统能够实现更高效、低碳的转型,对于促进电力系统的稳定和可靠运行具有重要意义。This study aims to explore how to improve the operational efficiency of electrical automation systems in thermal power plants and reduce energy consumption under the dual pressure of energy and environment.By introducing advanced control algorithms such as ant colony algorithm and hybrid algorithm,the self-learning ability of the system is enhanced;a modular and scalable design framework is built;and by introducing remote monitoring and diagnostic technology,this study adopts a series of innovative methods to improve the electrical automation system.The results show that these strategies not only significantly improve the operational efficiency and stability of the system,but also significantly reduce maintenance costs,providing a solid foundation for the sustained development and technological progress of the system.The conclusion indicates that through the application of these technologies,the electrical automation system of thermal power plants can achieve more efficient and low-carbon transformation,which is of great significance for promoting the stable and reliable operation of the power system.

关 键 词：火电厂电气自动化 先进控制算法 模块化设计 远程监控与诊断 

分 类 号：TM621[电气工程—电力系统及自动化]