火力发电机组锅炉控制技术的新进展  

New Advances in the Development of Boiler Control Technologies for Thermal Power Plants

作　　者：栾秀春 李士勇[1] 

机构地区：[1]哈尔滨工业大学控制科学与工程系,黑龙江哈尔滨150001

出　　处：《热能动力工程》2003年第4期329-333,共5页Journal of Engineering for Thermal Energy and Power

基　　金：国家重点基础研究发展规划基金资助项目(G1998020317)

摘　　要：近五年来国内外火力发电机组锅炉控制技术的发展表明:由于系统中存在多种非线性、不确定性及大惯性等不利因素,特别是在发电机组大型化和电网负荷大范围频繁变动的形势下,基于精确数学模型的传统控制技术受到了很大限制;而不完全依赖于精确数学模型的模糊控制、神经控制、自适应控制和预测控制等为锅炉控制提供了新的途径,模拟人类推理和决策的智能控制成为其发展方向。本文作者认为,从非线性科学角度出发,从机组整体上考虑锅炉的控制问题,有助于提高锅炉乃至机组整体控制系统的性能。The development both at home and abroad of boiler control technologies for thermal power plants during the past five years has shown that the precise mathematical model based traditional control techniques suffer from great limitations. This comes about because of the presence of numerous unfavorable factors, such as non linearity, uncertainty and great inertia, etc, especially in the case of a steady increase in unit capacity of power generating units and highly frequent wide range load fluctuations in electric networks. However, control techniques not fully dependent on precise mathematical models, such as fuzzy control, neural control, self adaptive and predictive control, etc have provided new approaches for the control of boilers. In this connection, intelligent control based on the simulation of human reasoning and decision making has become a trend of future development. From the scientific perspective of non linear behavior the authors have addressed the boiler control issue as an integral part of the whole power plant, which is conducive to enhancing the performance of the control system of both the boiler and the power plant as a whole.

关 键 词：电站锅炉 模糊控制 神经控制 自适应控制 预测控制 

分 类 号：TK39[动力工程及工程热物理—热能工程] TM621[电气工程—电力系统及自动化]