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作 者:王强 李斌[1] 张金宏 王雨萌 杨建蒙[1] Wang Qiang;Li Bin;Zhang Jinhong;Wang Yumeng;Yang Jianmeng(School of Energy Power and Mechanical Engineering,North China Electric Power University,Baoding 071003,China;China United Network Communications Co.,Ltd.Qingdao Branch,Qingdao 266200,China;Shandong Electric Power Engineering Consulting Institute Co.,Ltd.,Jinan 250013,China)
机构地区:[1]华北电力大学能源动力与机械工程学院,保定071003 [2]中国联合网络通信有限公司青岛市分公司,青岛266200 [3]山东电力工程咨询院有限公司,济南250013
出 处:《太阳能学报》2024年第11期153-161,共9页Acta Energiae Solaris Sinica
摘 要:为提高新能源消纳,促进火电机组灵活性改造,以“光火储”一体化发电系统为研究对象,采用贝叶斯算法优化长短期记忆神经网络,建立用电侧负荷需求预测模型。基于燃煤机组(CFPP)的出力特性分析提出以平抑CFPP出力波动为目标的“光火储”一体化发电系统的运行策略。结果表明:热力性能方面,耦合了储能之后对CFPP造成的不利影响可抵消掉;出力波动特性方面,相比于原CFPP,机组连续运行7 d的出力波动率降低7.16%,优化效果显著。In order to improve the consumption of new energy and promote the flexibility transformation of thermal power units,taking the“solar-fired-storage”integrated power generation system as the research object,the Bayesian algorithm was used to optimize the long-term and short-term memory neural network,and a load demand forecasting model on the power consumption side was established.Based on the analysis of the output characteristics of coal-fired power plants(CFPP),the operation strategy of the“solar-fired-storage”integrated power generation system to stabilize CFPP output fluctuations is proposed.The results show that in terms of thermal performance,the adverse effects on CFPP after being coupled with energy storage can be offset.In terms of output fluctuation characteristics,compared with the original CFPP,the output fluctuation rate of the unit for 7 days of continuous operation is reduced by 7.16%,and the optimization effect is significant.
关 键 词:太阳热能 储热 压缩空气储能 负荷预测 运行策略
分 类 号:TK519[动力工程及工程热物理—热能工程]
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