基于人工智能的燃煤电厂热能效率优化控制研究

Research on AI-Based Thermal Efficiency Optimization Control in Coal-Fired Power Plants

本文深入探讨了基于人工智能的燃煤电厂热能效率优化控制,通过数据采集、人工智能算法应用、系统模型建立、优化策略设计以及关键因素分析,形成了一套综合而创新的研究框架。提出的智能优化系统融合深度学习、强化学习和遗传算法,通过实际应用实现了对电厂运行的全面智能监控与调控。该研究不仅在理论上拓展了燃煤电厂效率优化的研究领域,同时为实际电厂运行提供了高效、智能、可持续的支持。

This paper delves into the research on AI-based thermal efficiency optimization control in coal-fired power plants,forming a comprehensive and innovative research framework through data collection,application of artificial intelligence algorithms,establishment of system models,design of optimization strategies,and analysis of key factors.The proposed intelligent optimization system integrates deep learning,reinforcement learning,and genetic algorithms,realizing comprehensive intelligent monitoring and control of power plant operations through practical applications.This study not only expands the theoretical research field of efficiency optimization in coal-fired power plants,but also provides efficient,intelligent,and sustainable support for actual power plant operations.