An intelligent optimization method for steam turbine back pressure in an air-cooled unit
A technology of steam turbine back pressure and air-cooling units, which is applied in the direction of machines/engines, mechanical equipment, engine components, etc., can solve problems such as obvious gaps in theoretical values, changes in back pressure, high back pressure, etc., to achieve simple and convenient implementation, reduce burden, The effect of fewer parameters
Inactive Publication Date: 2016-05-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology
[0003] However, there are many shortcomings in the traditional existing direct air-cooled units at present, such as: the daily operation of the unit has a high back pressure, which is significantly different from the theoretical value; the back pressure of the unit is greatly affected by environmental factors (temperature, ambient wind speed, wind direction), and the back pressure Changes more frequently
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[0021] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0022] Such as figure 2 As shown in the sample data, when the load is 600MW, the vacuum degree of the exhaust device is maintained at -86kpa, the unit of the ambient temperature is ℃, and the unit of the back pressure is kpa. The original curve of the relationship between ambient temperature and back pressure and the curve fitted by particle swarm optimization algorithm are as follows: figure 2 shown by figure 2 It can be seen that when the ambient temperature is higher than about 10°C, the back pressure increases with the increase of the ambient temperature. The functional relationship between the ambient temperature t and the back pressure y obtained after fitting with the particle swarm optimization algorithm is:
[0023] y=0.0185t 2 -0.405t+9.7
[0024] The final fitting error was 0.1955.
[0025] figure 1 It is the calculation flowchart ...
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The invention discloses a method for intelligently optimizing back pressure of an air cooling unit steam turbine. The method comprises the steps that under the condition that normal production is not affected, field historical data are utilized for obtaining the relation between environment temperatures and the back pressure under different loads, the function relation between the environment temperatures and the back pressure relation under the different loads can be fitted out by selecting an appropriate function relation type and the data conforming to a certain condition, and automatic setting of a setting value in a back pressure adjusting loop can be achieved through a field DCS control module. The method has the advantages that the easiest intelligent algorithm is adopted to fit out the function relation between the environment temperature and the back pressure relation; a field test curve and running experience are combined to obtain economic back pressure values of an air cooling unit under the different environment temperatures and different running stations; automatic setting of the setting value of the back pressure adjusting loop is achieved, and burdens of operators are reduced; and economic running of the air cooling unit is facilitated. The method has the important practical value and guiding significance in the automatic control design and optimization of an air cooling island system.
Description
technical field [0001] The invention relates to an intelligent optimization method for steam turbine back pressure of an air-cooling unit, belonging to the technical field of group intelligent computing. Background technique [0002] At present, with the economic development of various countries in the world and the improvement of people's material living standards, the commissioning of large coal-fired generating units is facing more urgent needs and stricter requirements. While maintaining rapid development, the power industry must strictly control the consumption of water resources and coal resources, and reduce the pollution and damage to natural ecological resources caused by smoke and dust emissions and waste heat from cooling water. Research and development of an air cooling system that uses air as the cooling medium to condense the exhaust gas of the steam turbine is of great significance for effectively alleviating the contradiction of water use and controlling and ...
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IPC IPC(8): F01D17/00
Inventor 翟永杰米路张艳霞伍洋
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)