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耦合熔盐储热火电机组技术经济分析与运行优化

Techno-economic Analysis and Operation Optimization of Thermal Power Units Coupled With Molten Salt Heat Storage
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摘要 随着新能源发电量占比不断提高,火电机组逐渐由主体性电源转向辅助服务型电源。本文针对660 MW超临界火电机组利用主蒸汽加热冷熔盐储热、利用热熔盐加热部分凝结水释热的熔盐储热系统耦合方案,基于系统变工况模型分析了机组技术、经济指标随熔盐质量流量、高温温度的变化规律,构建了以全程热效率和净利润为指标的多目标优化问题,并采用白鲸算法优化求解最优熔盐参数。研究发现:基于帕累托思想求得最优运行参数下机组储、释热过程调峰深度分别为12.50%和7.29%,对应全程热效率和净利润分别为38.18%、2.05亿美元,更能满足目前火电机组调峰调频辅助服务的角色要求。 With the increase in the proportion of new energy power generation,thermal power units have gradually changed from the main power supply to the auxiliary service power supply.This paper proposes a coupling scheme of molten salt heat storage system for a 660 MW supercritical thermal power unit,which uses the main steam to heat the cold molten salt for heat storage and uses the hot molten salt to heat part of condensate for heat release.Based on the off-design model,the unit technical and economic indicators are analyzed with respect to variations in molten salt mass flow rate and high temperature,and a multi-objective optimization problem with whole process thermal efficiency and net profit as indicators is constructed and solved using the beluga whale algorithm to obtain optimal molten salt parameters.It is found that under the optimal operating parameters obtained through the Pareto method,the peak shaving depth during the heat storage and release process are 12.50%and 7.29%,respectively,and the corresponding whole process thermal efficiency and net profit are 38.18%and 205 million dollars,respectively.The simulation results indicate that the proposed optimization method can better meet current needs in providing peak shaving and frequency regulation auxiliary services.
作者 魏乐 周家俊 张怡 房方 WEI Le;ZHOU Jiajun;ZHANG Yi;FANG Fang(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
出处 《工程热物理学报》 北大核心 2026年第1期46-58,共13页 Journal of Engineering Thermophysics
基金 国家重点研发计划项目(No.2022YFB4100404)。
关键词 熔盐储热 火电机组 技术经济分析 多目标优化 全过程指标 molten salt heat storage thermal power units techno-economic analysis multiobjective optimization whole process indicators
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