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作 者:袁桂丽[1] 张睿 赵洵 张国斌 李洪波 杭晨辉 Yuan Guili;Zhang Rui;Zhao Xun;Zhang Guobin;Li Hongbo;Hang Chenhui(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;Inner Mongolia Power(Group)Co.,Ltd.Inner Mongolia Power Research Institute Branch,Hohhot 010020,China;Inner Mongolia Power(Group)Co.,Ltd.Power Dispatching and Control Branch,Hohhot 010010,China)
机构地区:[1]华北电力大学控制与计算机工程学院,北京102206 [2]内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司,呼和浩特010020 [3]内蒙古电力(集团)有限责任公司电力调度控制分公司,呼和浩特010010
出 处:《太阳能学报》2024年第12期627-636,共10页Acta Energiae Solaris Sinica
基 金:内蒙古自治区科技重大专项(2021ZD0026)。
摘 要:为应对“三北”地区风光发电的随机性、间歇性、不确定性以及在风电大发期,燃煤热电联产机组“以热定电”的运行方式使其灵活调节能力不足的问题,该文运用拉丁超立方采样法模拟次日风光出力场景,基于一定置信水平预留旋转备用,通过碳捕集设备提供电量备用优化虚拟电厂旋转备用容量,建立含碳捕集热电机组的虚拟电厂热电联合日前随机优化调度模型,采用二次插值法与自适应遗传算法求解模型。仿真表明,通过碳捕集设备辅助电量备用,可权衡虚拟电厂的旋转备用预留和低碳运行,减少弃风弃光,降低旋转备用成本,实现电力系统的安全低碳经济运行。In order to cope with the randomness,intermittency and uncertainty of wind power generation in the“Three North”region,particularly during periods of high wind power generation,the operation mode of coal-fired Cogeneration units that“determine power by heat”is insufficient for flexible adjustment.For this reason,the Latin hypercube sampling method is used to simulate the next day’s wind and power output scenario,determine the spinning reserve based on a certain confidence level,and optimize the rotating reserve capacity of virtual power plant by providing power reserve through carbon capture equipment.A day-ahead stochastic optimal scheduling model of combined heat and power of virtual power plant containing carbon capture thermal power units is established,and the model is solved by using quadratic interpolation method and adaptive genetic algorithm.The simulation shows that the auxiliary power reserve of carbon capture equipment can balance the reserve of rotating reserve and low-carbon operation of virtual power plant,reduce wind and solar curtailment,reduce the cost of rotating reserve,and realize safe and low-carbon economy operation of power system.
关 键 词:热电联产机组 旋转备用 虚拟电厂 拉丁超立方采样 不确定性
分 类 号:TM73[电气工程—电力系统及自动化]
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