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作 者:田亮[1] 王桐[1] Tian Liang;Wang Tong(School of Control and Computer Engineering, North China Electric Power University, Baoding 071000, China)
机构地区:[1]华北电力大学控制与计算机工程学院,河北保定071000
出 处:《系统仿真学报》2018年第5期1803-1811,共9页Journal of System Simulation
基 金:国家973计划(2012CB215200)
摘 要:电网要求供热机组在供热季内尽量降低发电负荷下限以提高风电负荷消纳能力,汽轮机低压缸排汽流量是决定发电负荷下限的主要参数。通过分析汽轮机侧工质流动质量-能量平衡关系,选择凝结水流量、凝结水焓升、6号低加焓降作为辅助变量,建立了低压缸排汽流量静态软测量模型,并进一步选择了汽轮机7、8段抽汽压力、温度,利用Flügel公式计算出汽轮机末级蒸汽流量引入动态补偿。通过对比分析一330 MW供热机组的静态运行数据,以及汽轮机低压缸进汽流量调节蝶阀和热网抽汽调节蝶阀开度扰动实验数据,验证了准确度及动态响应速度能够满足现场要求。In order to improve the capacity of absorbing the wind power, power grid requests heating units to reduce the power load limit as far as possible. Turbine exhaust steam flow is a main parameter which determines power load limit. By analysing the balance of the mass-energy on vapor flow, and choosing the condensate flow and enthalpy rise of condensate and enthalpy drop of number 6 low pressure heater as auxiliary variables, soft-sensor method of low pressure cylinder exhaust flow is established. Furthermore, number 7 and number 8 extraction pressure and temperature are chosen simultaneously and dynamic low pressure cylinder exhaust flow is calculated by FlOGEL formula as dynamic compensation. The comparison between the static operating data of a 330 MW heating unit, the disturbance experimental data of low-pressure valve and extraction valve show that the accuracy and the dynamic respond speed of the soft-sensor signal satisfy the in-field requirements.
分 类 号:TK273[动力工程及工程热物理—动力机械及工程]
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