首页|600MW等级超超临界燃煤发电机组动态建模与变负荷控制优化

600MW等级超超临界燃煤发电机组动态建模与变负荷控制优化

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为提升超超临界燃煤发电机组变负荷过程关键参数控制效果及能效,以某600 MW等级超超临界燃煤发电机组为研究对象进行建模仿真,其关键热力参数偏差满足火电仿真标准规定,建立了燃煤发电机组热力系统内部蓄热分布模型,提出了前馈机组内部蓄热状态的水燃比和烟气挡板开度控制逻辑,将机组变负荷过程实时的蓄热状态前馈到给水、给煤流量和烟气挡板调控中.仿真结果表明:机组在 40%THA~70%THA 负荷段以 1.0%Pe/min~3.0%Pe/min 速率变负荷时,累计主蒸汽温度偏差率绝对值下降 27%~31%,机组瞬态过程平均发电标准煤耗率下降0.37~0.65 g/(kW·h).证明所提出的控制策略提升了超超临界燃煤发电机组变负荷瞬态过程关键热力参数控制精度和能量转化效率.
Dynamic modeling and variable load control optimization for 600 MW class ultra-supercritical coal-fired power generation units
To improve the control effect of key parameters and energy conversion efficiency of ultra-supercritical coal-fired power generation units during load cycling process,600 MW class ultra-supercritical coal-fired power generation units are taken as the research objects to carry out modeling and verification.The deviation of key thermal parameters meets the specified range of thermal power simulation standard.The spatiotemporal distribution model of internal heat storage in thermal system of coal-fired power generation units is established,and the water-fuel ratio and flue gas damper opening control logic of the feedforward internal heat storage state of the unit are proposed.The real-time heat storage state of the unit during the load cycling process is fed forward to the flow rate of feed water,coal,and flue gas damper control.The simulation results show that,when the unit load cycling rate varies from 1.0%Pe/min to 3.0%Pe/min within 40%~70%THA load range,the absolute value of the cumulative main steam temperature deviation rate decreases by 27%~31%.The average power generation standard coal consumption rate of the unit decreases by 0.37~0.65 g/(kW·h)during the transient process.The proposed control strategies improve the control accuracy of key thermal parameters and the energy conversion efficiencies of the ultra-supercritical coal-fired power generation units during load cycling transient processes.

coal-fired power generationvariable loadsteam temperature controltransient energy saving

刘茜、刘泽锋、王朝阳、刘明、严俊杰

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西安交通大学动力工程多相流国家重点实验室,陕西 西安 710049

西安热工研究院有限公司,陕西 西安 710054

燃煤发电 变负荷 汽温控制 瞬态节能

国家重点研发计划项目

2022YFB4100402

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(10)