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作 者:Jie Ma Pengcheng Yue Haozheng Yu Yuqing Zhang Youwen Zhang Cuiping Li Junhui Li Wenwen Qin Yong Guo
机构地区:[1]State Grid Henan Economic Research Institute,Zhengzhou,450000,China [2]Zaozhuang Power Supply Company,State Grid Shandong Electric Power Company,Zaozhuang,277000,China [3]Key Laboratory of Modern Power SystemSimulation and Control&Renewable Energy Technology,Ministry of Education,Northeast Electric Power University,Jilin,132012,China
出 处:《Energy Engineering》2024年第7期1823-1846,共24页能源工程(英文)
基 金:The study was supported by the State Grid Henan Economic Research Institute Regional Autonomy Project.
摘 要:In recent years,the proportion of installed wind power in the three north regions where wind power bases are concentrated is increasing,but the peak regulation capacity of the power grid in the three north regions of China is limited,resulting in insufficient local wind power consumption capacity.Therefore,this paper proposes a two-layer optimal scheduling strategy based on wind power consumption benefits to improve the power grid’s wind power consumption capacity.The objective of the uppermodel is tominimize the peak-valley difference of the systemload,which ismainly to optimize the system load by using the demand response resources,and to reduce the peak-valley difference of the system load to improve the peak load regulation capacity of the grid.The lower scheduling model is aimed at maximizing the system operation benefit,and the scheduling model is selected based on the rolling schedulingmethod.The load-side schedulingmodel needs to reallocate the absorbed wind power according to the response speed,absorption benefit,and curtailment penalty cost of the two DR dispatching resources.Finally,the measured data of a power grid are simulated by MATLAB,and the results show that:the proposed strategy can improve the power grid’s wind power consumption capacity and get a large wind power consumption benefit.
关 键 词:Wind power consumption two-layer optimal demand response rolling scheduling wind curtailment penalty
分 类 号:TM73[电气工程—电力系统及自动化]
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