基于NSGA-Ⅱ算法的S-CO_(2)再压缩再热燃煤系统多目标优化  

Multi-objective Optimization of S-CO_(2)Recompression and Reheat Coal-fired System Based on NSGA-ⅡAlgorithm

作　　者：杨伊琳 李鹏[1,2] 刘世通[1] 白亚平 赵文升 韩中合 YANG Yilin;LI Peng;LIU Shitong;BAI Yaping;ZHAO Wensheng;HAN Zhonghe(School of Energy,Power and Mechanical Engineering,North China Electric Power University,Baoding 071003,Hebei Province,China;Hebei Key Laboratory of Low-carbon and Efficient Power Generation Technology,North China Electric Power University,Baoding 071003,Hebei Province,China)

机构地区：[1]华北电力大学能源动力与机械工程学院,河北保定071003 [2]华北电力大学河北省低碳高效发电技术重点实验室,河北保定071003

出　　处：《动力工程学报》2024年第8期1298-1306,共9页Journal of Chinese Society of Power Engineering

基　　金：保定市科技计划资助项目(2272P017);河北省高等学校科学技术研究资助项目(QN2023081)。

摘　　要：以S-CO_(2)再压缩再热循环燃煤发电热力系统为研究对象,以循环热效率ηt和平准化度电成本C LCOE为系统的热力性能和经济性能指标,分析了系统关键参数对系统热力和经济性能的影响规律。基于非支配排序遗传(NSGA-II)算法建立了S-CO_(2)再压缩再热循环燃煤发电热力系统的多目标优化模型,以系统的热力学性能和经济性为目标,得到了系统关键参数的最优解。最后,以再热温度、透平入口温度、主压缩机出口压力、再热压力、主压缩机入口压力、主压缩机入口温度、分流系数为决策变量,对系统进行多目标优化。结果表明:透平入口温度、再热温度的升高会使系统的循环效率和平准化度电成本同时增大,系统的热力性和经济性不能同时达到最优;多目标优化后ηt和C LCOE分别为53.07%、453.43元/(MW·h),相较于设计工况,ηt提高了5.42%,C_(LCOE)降低了5.91%。Taking the coal-fired thermodynamic system of S-CO_(2)recompression and reheat cycle as the research object,and the cycle efficiency(ηt)and levelized cost of energy(C LCOE)as the thermodynamic and economic performance indexes of the system,the influence laws of the system key parameters on the thermodynamic and economic performance of the system were analyzed.A multi-objective optimization model of S-CO_(2)recompression and reheat cycle coal-fired thermodynamic system was established based on NSGA-II algorithm.Aiming at the thermodynamic performance and economy of the system,the optimal solutions of the system key parameters were obtained.Finally,the multi-objective optimization of the system was carried out by taking reheat temperature,turbine inlet temperature,main compressor outlet pressure,reheat pressure,main compressor inlet pressure,main compressor inlet temperature and split-flow coefficient as the decision variables.Results show that the cycle efficiency and levelized cost of energy of the system increase with the increase of turbine inlet temperature and reheat temperature,thus thermodynamic performance and economy of the system cannot be optimized simultaneously.The multi-objective optimization results ofηt and C_(LCOE)are 53.07%and 453.43 yuan/(MW·h).Compared with the design condition,ηt is increased by 5.42%and C LCOE is decreased by 5.91%.

关 键 词：S-CO_(2) 系统性能 多目标优化 NSGA-Ⅱ算法 TOPSIS法 

分 类 号：TK123[动力工程及工程热物理—工程热物理]