Optimized design method for nozzle number of nozzle sets considering turbine actual operation binding
A technology of practical operation and optimized design, applied in mechanical equipment, engine components, machines/engines, etc., can solve problems such as throttling loss, reduced internal efficiency, and small valve opening.
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specific Embodiment approach 1
[0102] Specific Embodiment 1: The optimal design method for the number of nozzles of each nozzle group considering the actual operation constraints of the steam turbine described in this embodiment is implemented according to the following steps:
[0103] Step 1: Construct the nozzle number optimization model:
[0104] Y=W 1 (xgz 1 -Ge 1 ) 2 +W 2 (xgz 2 -Ge 2 ) 2 +......+W l (xgz l -Ge l ) 2 (2-10)
[0105] W 1 , W 2 ......W l Indicates the operating time percentage of each load point;
[0106] xgz 1 、xgz 2 ......xgz l Indicates the actual flow of each given load point;
[0107] Ge 1 、 Ge 2 ......Ge l Indicates the theoretical flow at each given load point;
[0108] The comprehensive deviation degree between the actual flow and the theoretical flow is represented by Y;
[0109] Step 2. Calculate the actual flow at each given load point:
[0110] Calculate the actual flow of 1...l given load points from the number of nozzles of each valve and their ...
specific Embodiment approach 2
[0220] Specific implementation mode 2: In this implementation mode, in step 2, p is calculated by the dichotomy method 2 During the process, the nozzle post pressure p 1k The calculation process is: the sliding pressure operation law curve obtained in the actual operation of the steam turbine unit: power-main steam pressure, and then according to the actual operating load, check the pressure of the main steam, and then calculate p 1k . Other steps are the same as in the first embodiment.
[0221] Carry out following elaboration again for the inventive method:
[0222] 1. Genetic algorithm and its improved optimization method
[0223] Genetic Algorithm is an efficient global search algorithm based on natural selection and genetic theory, which combines the survival rule of the fittest in the process of biological evolution with the random information exchange mechanism of chromosomes within the population. The genetic algorithm abandons the traditional search method, simula...
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