Whole-process steam turbine modeling and identification method for actual characteristics of parameters changing with operating conditions
An identification method and technology for steam turbines, which are applied in design optimization/simulation, special data processing applications, geometric CAD, etc., can solve the problems of no engine turbine model, difficulty in supporting power system stability research, and difficulty in simulating the output characteristics of steam turbine units.
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Embodiment 1
[0114] The present invention provides a whole-process steam turbine system modeling and identification method that considers the characteristics of key parameters varying with operating conditions. The present invention will be further described below in conjunction with the accompanying drawings, including the following steps:
[0115] Step 1: Use the mechanism analysis method to establish a mathematical model of the whole process steam turbine considering the characteristics of key parameter random group operating conditions. The power model of the cylinder is obtained to obtain a complete steam turbine power output model, and the influence of the change of operating conditions on key parameters is considered in the model, so as to obtain the whole process steam turbine model when key parameters change with operating conditions;
[0116] Step 2: Conduct on-site disturbance tests under typical working conditions, obtain test data on the influence of working condition changes o...
Embodiment 2
[0203] According to a whole-process steam turbine modeling and identification method based on the variable parameter method provided by the present invention, a steam turbine in a power plant is used as the research object for verification. The relevant parameters of exhaust steam condensation type are shown in Table 1.
[0204] Table 1 embodiment steam turbine related parameters
[0205]
[0206] In the table: p 0 is the main steam pressure.
[0207] Establish the whole-process steam turbine model based on the variable parameter method with the method described in the manual; obtain the input and output data of the steam turbine system through field tests; Figure 4 The particle swarm optimization-steam turbine system identification model shown in the figure identifies undetermined parameters and identifies multiple working conditions to obtain the changing trend of key parameters with load. Taking KGV as an example, its changing characteristics with working conditions a...
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