Research on Adaptive Optimization of the Operation of Dual Pressure Condensers for Large Steam Turbines in Power Plants
[Purposes]Due to the significant difference between the actual operation and design values of the high and low pressure dual sides of a dual pressure condenser,which seriously affects the operational efficiency of the condenser,a study on adaptive optimization of the operation of a large steam turbine dual pressure condenser in power plants is proposed.[Methods]Firstly,based on the historical sequence of the influencing parameters of the vacuum degree of the dual pressure condenser,a grey theory is intro-duced to construct a vacuum calculation model for large steam turbine dual pressure condensers in power plants.By substituting each influencing parameter into the model,the predicted calculation values of the vacuum degree of the dual pressure condenser at future times can be output.Then,with the goal of pre-cise control of the optimal vacuum degree of the condenser,the particle swarm optimization algorithm is used to find the optimal hyperparameters of the model,and the optimal parameters are applied to the vacuum operation of the dual pressure condenser to achieve adaptive optimization.[Findings]The re-search results indicate that the circulating water flow rate of the double pressure condenser optimized by the design method is significantly lower than before optimization,at 1.1.2×10-4 kg/s～1.4×10-4 kg/s.[Con-clusions]The research results can improve the operational efficiency and stability of the unit,and con-tribute to the energy-saving operation benefits of large steam turbines in power plants.
large scale steam turbines in power plantsdual pressure condenseroperational optimiza-tionadaptive optimization methods
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