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面向清洁能源消纳的抽水蓄能电站运行方式研究 被引量:16

Study on the Operation of Pumped Storage Power Station for Clean Energy Consumption
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摘要 风电光伏电具有随机波动性和间歇性,为对冲风电光伏电大规模并网的影响,优化抽水蓄能电站运行方式十分有必要。在优先消纳风电和光伏电功率的前提下,以抽水蓄能电站运行后电网剩余负荷均方差最小为目标,建立抽水蓄能电站运行优化模型。然后针对非线性目标函数、含0-1变量和整数变量及时间关联约束复杂特点,提出了一种基于双向切负荷法的抽水蓄能电站运行搜索优化方法。采用湖北电网2019年运行数据,分析了优先消纳风电、光伏电功率后电网剩余负荷特性变化,对白莲河抽水蓄能电站运行方式进行优化。实例结果验证了所提出的模型和求解方法的可行性和有效性。 Wind power and photovoltaic power have the characteristics of random,dynamic and intermittent.In order to hedge the impact of large-scale grid connection of wind power photovoltaic power,it is necessary to optimize the daily operation scheme of pumped storage power plants.On the premise of prioritizing the consumption of wind power and photovoltaic power,with the goal of minimizing the mean square error of the residual load of the grid considering the operation of the pumped storage power station,the operation optimization model of the pumped storage power station is established.Then,aiming at the characteristics of nonlinear objective function,0-1 variables and integer variables,and time-related constraints,a method for searching and optimizing the operation of pumped storage power plants based on the bidirectional load shedding method is proposed.Based on the operating data of Hubei Power Grid in 2019,the residual load characteristics of the grid after the priority consumption of wind power and photovoltaic power were analyzed,and the operation mode of the Bailian River Pumped Storage Power Station was optimized.The case results verify the feasibility and effectiveness of the proposed model and solution method.
作者 孙望良 梅亚东 肖小刚 张祥 余姚果 朱迪 SUN Wang-liang;MEI Ya-dong;XIAO Xiao-gang;ZHANG Xiang;YU Yao-guo;ZHU Di(Central China Branch of State Grid Corporation of China,Wuhan 430077, China;State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)
出处 《中国农村水利水电》 北大核心 2020年第12期172-179,共8页 China Rural Water and Hydropower
基金 国家电网有限公司科技项目资助(合同号:SGHZ0000DKJS1900230)。
关键词 抽水蓄能 清洁能源 削峰填谷 pumped storage clean energy utilization peak load shifting
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