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作 者:解凯[1,2] 郝飞[1] 廖丛林[3] 夏可青 Xie Kai;Hao Fei;Liao Conglin;Xia Keqing(Nanjing NARI Electric Co.,Ltd.,Nanjing 211102,China;School of Computer Science and Engineering,Southeast University,Nanjing 210096,China;School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)
机构地区:[1]南京南瑞继保电气有限公司,江苏南京211102 [2]东南大学计算机科学与工程学院,江苏南京210096 [3]华北电力大学控制与计算机工程学院,北京102206
出 处:《能源与环保》2025年第3期189-197,共9页CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基 金:国家重点研发计划(2024YFB2408403);内蒙古自治区科技突围工程(2024KJTW0017)。
摘 要:虚拟电厂(Virtual Power Plant,VPP)通过控制技术将新能源发电、储能等资源高效整合,对实现“双碳”目标具有重大意义。为提升虚拟电厂对新能源的消纳率,构建了一种考虑配置不同类型储能系统的经济调度模型。首先,提出了包含风电、光伏、火电和储能系统的虚拟电厂结构,并建立其数学模型;其次,考虑新能源消纳过程的弃风弃光以及系统运维和碳排放成本,建立了以经济性最优为目标函数的调度模型并求解;最后,对比分析了不同容量和功率的电储能、氢储能2种储能方式对虚拟电厂调度的经济性以及风光消纳的影响。结果表明,采用氢储能可以更好的实现虚拟电厂经济性运行,并显著提高风光消纳率。Virtual power plants(VPPs)efficiently integrate resources such as new energy generation and energy storage through control technology,which is of great significance for achieving the"dual carbon"goal.In order to improve the consumption rate of renewable energy in VPPs,an economic dispatching model considering the configuration of different types of energy storage systems was constructed.Firstly,a VPP structure including wind power,photovoltaic,thermal power and energy storage systems was proposed and its mathematical model was established;secondly,considering the wind and light abandonment in the process of new energy consumption,as well as the operation and carbon emission costs of the system,a dispatching model with the optimal economy as the objective function was established and solved;finally,a comparative analysis was conducted on the economic efficiency of virtual power plant dispatching and the impact on wind and solar power consumption of two energy storage methods,namely electric energy storage and hydrogen energy storage,with different capacities and powers.The results showed that using hydrogen energy storage can better achieve the economic operation of VPPs and significantly improve the wind and solar power consumption rate.
分 类 号:TM73[电气工程—电力系统及自动化]
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