Journal of System Simulation ›› 2018, Vol. 30 ›› Issue (5): 1803-1811.doi: 10.16182/j.issn1004731x.joss.201805023

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Soft-sensor Method of Low Pressure Cylinder Exhaust Flow of Heating Units

Tian Liang, Wang Tong   

  1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071000, China
  • Received:2016-05-26 Revised:2016-08-01 Online:2018-05-08 Published:2019-01-03

Abstract: 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 FlÜGEL 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.

Key words: heating unit, low pressure cylinder exhaust flow, soft-sensor method, data fitting

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