深度调峰背景下的厂级热电负荷分配优化  

Optimization of Plant-level Thermal and Power Load Distribution Under the Back-ground of Deep Peak Shaving

作　　者：汪茹康 周家辉 徐钢[1] 陈宏刚[1] 王永旭[2] WANG Rukang;ZHOU Jiahui;XU Gang;CHEN Honggang;WANG Yongxu(School of Energy,Power and Mechanical Engineering,North China Electric Power Univesity,Beijing 102206,China;Tongliao Power Plant Co.,Ltd.,Tongliao 028000,Inner Mongolia Autonomous Region,China)

机构地区：[1]华北电力大学能源动力与机械工程学院,北京102206 [2]通辽发电总厂有限责任公司,内蒙古通辽028000

出　　处：《动力工程学报》2023年第2期185-193,共9页Journal of Chinese Society of Power Engineering

基　　金：国家自然科学基金创新研究群体资助项目(51821004)。

摘　　要：为解决在调峰辅助服务市场下不同容量的热电联产机组的热电调度问题,建立了多台热电联产机组调峰调度模型,该模型以全厂收益最大为目标函数,使用分段三次Hermite插值法计算燃煤成本,综合考虑机组的热电出力约束条件,使用粒子群算法求解机组之间的热电调度问题。以某热电厂典型日热电负荷为例进行算例分析。结果表明:所建调峰调度模型能显著提升全厂总收益,且全厂总收益随调峰分摊金额的提高而减少;当热负荷增大时全厂总收益也增大,在全厂电负荷约为机组额定容量之和的60%时,全厂总收益达到最大。In order to solve the thermal power scheduling problem of cogeneration units with different capacity in the peak shaving auxiliary service market,the peak shaving scheduling model of multiple cogeneration units was established.The maximum profit of the whole plant was taken as the objective function,the piecewise cubic Hermite interpolation method was used to calculate the coal-fired cost.Moreover,considering the thermal power output constraints of the unit,the particle swarm optimization algorithm was used to solve the thermal power scheduling problem between units.Finally,the typical daily thermal power load of the thermal power plant was taken as an example.Results show that the peak shaving scheduling model can significantly improve total income of the plant,and the total income decreases with the increase of peak shaving allocation amount.When the thermal load increases,the total income also increases.When the power load of the whole plant is about 60% of the total rated capacity of the unit,the total income reaches the maximum.

关 键 词：热电联产 粒子群 负荷分配 深度调峰 

分 类 号：TK284[动力工程及工程热物理—动力机械及工程]