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Application of genetic algorithm in cold end system optimization for thermal power plants
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作者 LI Qianjun LIU Guangyao +2 位作者 ZHAO Quanbin JU Lincang CHONG Daotong 《热力发电》 CAS 北大核心 2014年第1期26-30,共5页
Systematical analysis on factors affecting the cold end system in power plants was conducted.The optimization model was obtained,which regarded the minimum net coal consumption rate as the objectivefunction,used sever... Systematical analysis on factors affecting the cold end system in power plants was conducted.The optimization model was obtained,which regarded the minimum net coal consumption rate as the objectivefunction,used several objective conditions as the variables,such as flow rate and temperature of the circu-lating water,supercooling degree of the condenser,fouling and air leakage in the condenser.Genetic algo-rithm was employed to optimize the multiple factors affecting the cold end system,and the optimizationconditions for the minimum net coal consumption rate and the corresponding parameters were obtained.Comparison indicated that this genetic algorithm not only can optimize the cold end system quickly and ac-curately,but also can compensate the economic efficiency drop that caused by defects of some parametersthrough automatic adjustment of the parameters. 展开更多
关键词 genetic algorithm circulating water temperature heat transfer coefficient CONDENSER circulatingwater flow coal consumption rate
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