发电技术 ›› 2025, Vol. 46 ›› Issue (4): 839-848.DOI: 10.12096/j.2096-4528.pgt.24033

• 发电及环境保护 • 上一篇    下一篇

燃气-蒸汽联合循环发电系统多目标优化分析

王文静1, 韩依璇1, 李继宾2, 沈晓旭2, 霍兆义1, 冯亮花1   

  1. 1.辽宁科技大学材料与冶金学院,辽宁省 鞍山市 114051
    2.上海嘉德环境能源科技;有限公司,辽宁省 鞍山市 114051
  • 收稿日期:2024-04-04 修回日期:2024-07-01 出版日期:2025-08-31 发布日期:2025-08-21
  • 作者简介:王文静(1998),女,硕士研究生,研究方向为能量系统集成优化,wwj180508@163.com
    韩依璇(1997),女,硕士,助教,研究方向为能量系统集成优化, hanoeseom@163.com
    霍兆义(1982),男,博士,副教授,研究方向为复杂能量系统集成优化、工业低温余热综合利用、能量系统诊断分析等,huozhaoyi@ustl.edu.cn
  • 基金资助:
    国家自然科学基金项目(52074151);辽宁省科技厅应用基础研究项目(2022JH2/101300079)

Multi-Objective Optimization Analysis of Gas-Steam Combined Cycle Power Generation Systems

Wenjing WANG1, Yixuan HAN1, Jibin LI2, Xiaoxu SHEN2, Zhaoyi HUO1, Lianghua FENG1   

  1. 1.School of Materials and Metallurgy, University of Science and Technology Liaoning, Anshan 114051, Liaoning Province, China
    2.Anshan Cadre Environment Energy Science and Technology Co. , Ltd. , Anshan 114051, Liaoning Province, China
  • Received:2024-04-04 Revised:2024-07-01 Published:2025-08-31 Online:2025-08-21
  • Supported by:
    National Natural Science Foundation of China(52074151);Applied Basic Research Project of the Science and Technology Department of Liaoning Province(2022JH2/101300079)

摘要:

目的 为提高燃气-蒸汽联合循环发电机组效率,需进行热力系统的优化设计,因此提出一种同时考虑热效率、运行成本和碳排放的联合循环发电系统多目标优化建模方法。 方法 燃气循环考虑叶片冷却建模,蒸汽循环基于三压再热余热锅炉建模。所构建的混合整数非线性数学规划模型采用 GAMS 软件进行求解,对发电机组进行优化,探究联合循环发电系统的最佳设计参数,包括循环压比、透平初温、底循环蒸汽参数,分析多目标之间的权衡关系。 结果 透平初温对循环效率、总成本和碳排放量影响程度最大。当权衡系统联合循环效率、系统总成本和碳排放进行多目标优化时,联合循环效率应为65%。 结论 所提方法可以更好优化大型发电机组热力参数,达到节能减排、提高能效的目的。

关键词: 联合循环发电机组, 多目标优化, 碳排放, 热力计算, 余热锅炉, 循环压比, 仿真分析

Abstract:

Objectives To improve the efficiency of gas-steam combined cycle power generation units, an optimized design of thermodynamic systems is required. Therefore, a multi-objective optimization modeling method for combined cycle power generation systems, simultaneously considering thermal efficiency, operating cost, and carbon emission is proposed. Methods The gas cycle is modeled incorporating blade cooling, while the steam cycle is modeled based on a triple-pressure reheat heat recovery steam generator. The constructed mixed-integer nonlinear mathematical programming model is solved using GAMS software to optimize the generation units, explore optimal design parameters of the combined cycle power generation system including cycle pressure ratio, turbine inlet temperature, and bottom-cycle steam parameters, and analyze trade-off relationships among multiple objectives. Results Turbine inlet temperature has the most significant effect on cycle efficiency, total cost, and carbon emissions. When conducting multi-objective optimization that balances combined cycle efficiency, total system cost, and carbon emissions, the combined cycle efficiency should be 65%. Conclusions The proposed method can more effectively optimize the thermodynamic parameters of large-scale generation units to achieve energy saving, emission reduction, and improved energy efficiency.

Key words: combined cycle generator sets, multi-objective optimization, carbon emission, thermodynamic calculation, waste heat boiler, cycle pressure ratio, simulated analysis

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