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Optimization Research Of Operational Parameters Of 1000MW Ultra Supercritical Double Reheating Unit

Posted on:2018-06-16Degree:MasterType:Thesis
Country:ChinaCandidate:C LiuFull Text:PDF
GTID:2322330515457726Subject:Thermal Engineering
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The existing thermal power generation technology face many social resources and economic pressure,thermal power generation technology for further research and development of more environmentally friendly and low energy consumption is the best choice to solve the problem after thermal power development.Facing the rapid development of China's society and science and technology,the power demand of each industry and the pressure of environmental protection have higher standards for energy saving and emission reduction in China.The operating parameters of a deeper study and optimization of the unit,to realize the unit is important to reduce the average coal consumption rate.The operation of modern large fossil fired power units is more complex,taking a N1000-32.1/600/620/620 unit as an example.Variable condition algorithm of steam turbine,condenser,circulating water system and water supply system with unit heat consumption rate and the minimum power variation and the difference of the highest maximum power consumption of circulating water pump and the plant power efficiency as the objective function based on the establishment of the main steam pressure,exhaust pressure and power supply to the highest efficiency of operation parameter optimization model the optimization of the objective function to determine the optimal operation parameters.The calculation results show that in the optimization of main steam pressure,the number of the control valve of the unit is less,and the throttling loss caused by the regulating valve has a great influence on the heat consumption rate of the unit.Through the comparison of a throttle valve,a valve two valve throttle sliding pressure steam distribution and the changes of the sliding pressure operation of thermal unit three steam distribution mode of consumption rate,to meet the load conditions,a valve full open throttle valve of steam distribution is better than that of the pure sliding pressure operation and two valve throttle valve sliding pressure.Under the same load,the optimal value of the unit is slightly larger than the design value,and the heat consumption rate is slightly lower than the design value.In the variable working condition,the thermal economy of the unit is the best by the change of the main steam pressure,thus the optimal main steam pressure curve of the unit's actual operation is obtained.In the exhaust steam pressure and pump operation parameter optimization,at a given temperature of the circulating water,when the power increases,the optimal circulating water pump flow and the optimal exhaust pressure increased;in a given load condition,when the temperature of circulating water is lower than 10 ? or higher than 20 ?,the influence of cooling water the temperature of the exhaust steam pressure is more obvious,and the power increment varies greatly.When the circulating water temperature is 30 degrees Celsius,as far as possible to reduce the condenser pressure,circulating water pump flow basically reached the maximum value of 8866kg/s.In order to supply maximum efficiency for parameter optimization operation of objective function,given a unit power,with the increase in the temperature of circulating cooling water,the optimal steam pressure,exhaust pressure,circulating water flow increased,and the electric pump and pneumatic pump to increase power consumption,the power supply the reduction efficiency.Taking the 85% load as an example,when the circulating water temperature rises from 5 to 30,the efficiency of the power supply is 45.26%,45.13%,45.08%,45.03%,44.95%,44.89%,the highest value and the minimum value is 0.37%.As a result,the unit should be as far as possible to reduce the temperature of the circulating water,to ensure good heat economy.
Keywords/Search Tags:double reheating, operating parameters, variable working condition algorithm, steam distribution mode, particle swarm optimization algorithm
PDF Full Text Request
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