Electric Power ›› 2018, Vol. 51 ›› Issue (3): 21-28.DOI: 10.11930/j.issn.1004-9649.201707172

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Optimization on Valve Flow Characteristics of Steam Turbine Based on Model Self-Adaptation and Its Application

LEI Zhiwei, ZHANG Xing, CHEN Tao, CHEN Shengli, WU Haicheng, ZHANG Jian   

  1. China Datang Corporation Science & Technical Institute Co., Ltd. East China Branch, Hefei 230031, China
  • Received:2017-07-31 Revised:2017-12-08 Online:2018-03-05 Published:2018-03-12
  • Supported by:
    This work is supported by Key Science and Technology Project of China Datang Corporation (KYY2016-3004).

Abstract: The valve flow characteristics of steam turbines have significant impacts on the system security and operation stability as well as load regulation performance of the units. In this paper, regarding the valve structure in nozzle governing, the non-linear valve flow characteristic model is first built for sequence valve control by taking advantage of model adaptive algorithm to conduct flow characteristic linearization based on optimization arithmetic. Second, the simulation study is carried out on this model. The results indicate that the single flow characteristic simulation model adopting RBF network has high model precision. By virtue of the model adaptive optimization algorithm approximate ideal linearity and optimum valve overlap can be obtained. Finally, the simulation result is applied to a 660-MW unit. The test result shows that the method can not only improve the linearity of the valve flow characteristics, but also lower the valve overlap, improve the AGC load response performance and alleviate the valve shaking issue and reduce the throttling losses of the unit.

Key words: steam turbine, governing valve, flow characteristic, model adaptive algorithm, RBF network

CLC Number: