Intelligent combustion optimization control system and method for coal-fired power plant boiler

• Main Authors: SHI QUANCHENG, ZHAO XU, MADHAV, TIAN YONGQIANG, HE XIANG, ZHU PAN, CAI CHUANQI, LYU WEIZHI, WU CHENGGANG, WANG JIAWANG
• Format: Patent
• Language: Chinese; English
• Published: 22.07.2022
• Subjects: CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

The invention provides an intelligent combustion optimization control system and method for a coal-fired power plant boiler, and the method comprises the steps: obtaining a combustion parameter optimal output set Ve under different working conditions through employing a BP neural network physical model coupling genetic algorithm, and carrying out the reasonable regulation and control of the intelligent combustion of the coal-fired power plant boiler; according to the intelligent combustion optimization control method, a big data analysis theory method is applied, optimal operation modes under different working conditions are searched and reasoned from unit operation historical data and test data, a combustion parameter optimal output set Ve is obtained, refined operation of a unit is greatly promoted, and energy conservation and emission reduction efficiency and operation safety are improved. 本发明提供了一种用于燃煤电站锅炉的智慧燃烧优化控制系统及方法，采用BP神经网络物理模型耦合遗传算法得出不同工况下的燃烧参数最优输出集Ve，对燃煤电站锅炉的智慧燃烧进行合理调控；所述智慧燃烧优化控制方法应用大数据分析理论方法，从机组运行历