基于MLP-MINLP的发电机组干湿联合冷却系统运行优化  

Operation optimization of dry-wet joint cooling system of generator set based on MLP-MINLP

作　　者：马尧 曹越 陈然璟 司风琪[1] MA Yao;CAO Yue;CHEN Ranjing;SI Fengqi(Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education,Southeast University,Nanjing 210096,China)

机构地区：[1]东南大学能源转换及过程测控教育部重点实验室,江苏南京210096

出　　处：《热力发电》2025年第3期121-130,共10页Thermal Power Generation

基　　金：国家重点研发计划项目(2022YFB4100700)。

摘　　要：“双碳”背景下,发电机组作为消纳新能源的调节性电源,对其发电灵活性提出了重大挑战。干湿联合冷却系统是保证发电机组安全、稳定运行的重要系统,急需对该系统的运行策略进行优化以提高其灵活性和经济性。以某660 MW发电机组的干湿联合冷却系统为研究对象,建立了预测干湿联合冷却系统冷却水出水温度的多层感知机(MLP)神经网络模型,并根据实际运行条件的限制建立并线性化处理了干湿联合冷却系统的混合整数非线性规划(MINLP)模型。通过求解MLP-MINLP优化模型获得了各工况下干湿联合冷却系统变频风机运行的最优策略,实现了降低干湿联合冷却系统耗电量的目标。结果表明:优化变频风机配置后总功率显著降低约11.16%,变频风机异频运行策略可使总功率有限降低约3.62%~5.38%。MLP-MINLP优化模型可实现干湿联合冷却系统的灵活、经济运行,为干湿联合冷却系统运行优化提供了解决方案。In the context of achieving“dual-carbon”goals,power units function as adaptable power sources for integrating new energy sources,posing significant challenges to their power generation flexibility.The dry-wet joint cooling system plays a pivotal role in ensuring the safe and stable operation of power units.Therefore,there is an urgent need to optimize the operational strategy of the dry-wet joint cooling system to enhance its flexibility and economic efficiency.Focusing on the dry-wet joint cooling system of a 660 MW generator set,a multi-layer perceptron(MLP)neural network model has been established to predict the outlet temperature of the cooling water.A mixed integer nonlinear programming(MINLP)model is formulated and linearized based on actual operating condition constraints.By solving the MLP-MINLP optimization model,the optimal operation strategy for variable-frequency fans in each operating condition of dry-wet joint cooling system is determined,successfully reducing its power consumption.The results indicate that,after optimizing the configuration of variable-frequency fans,there is a significant reduction in total power by approximately 11.16%,and implementing different frequency operations for variable-frequency fans can reduce total power by about 3.62%~5.38%in a limited manner.The MLP-MINLP optimization model can achieve precise and low-power operation of dry-wet joint cooling system,offering a viable solution for optimizing dry-wet joint cooling systems.

关 键 词：干湿联合冷却系统 变频风机 多层感知机 混合整数非线性规划 

分 类 号：TM6[电气工程—电力系统及自动化]