Electric Power ›› 2016, Vol. 49 ›› Issue (6): 15-19.DOI: 10.11930/j.issn.1004-9649.2016.06.015.05

• Column of Instrument & Control • Previous Articles     Next Articles

Application of Large Data Analysis on Characteristics Parameter Identification and Optimization of Steam Turbine Regulating Valves

WANG Gang1, LIANG Zhengyu1, LI Cunwen2, YANG Tao2   

  1. 1. Henan Electrical Power Corporation Research Institute, Zhengzhou 450052, China;
    2. College of Energy & Power Engineering, Huazhong University of Science & Technology, Wuhan 430074, China
  • Received:2016-04-08 Revised:2016-06-16 Online:2016-06-16 Published:2016-06-16

Abstract: As a major task in unit-grid coordination, accurate acquisition of the steam turbine regulating valve’s characteristics is the precondition for its precise control. Furthermore, it also affects the unit load stability, the qualities of primary frequency control and AGC performance. Presently, the turbine valve’s characteristics are obtained through field tests. Based on the large data analysis method, the turbine control valve’s characteristic parameters are accurately identified through historical data mining calculation. Therefore, towards the goal to linearize the flow characteristics of valve group, the optimized control valve’s flow management curve is acquired through computation.

Key words: thermal power generation unit, large data, parameter identification, steam turbine, regulating valve flow characteristics

CLC Number: