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金沙江下游梯级汛前联合消落控制方式研究 被引量:6

Research on Control Method of Cascade Joint Fading Before Flood in Lower Jinshajiang River
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摘要 流域梯级水库群汛前消落控制是水库调度的关键问题之一,而传统的判别系数法在确定水库群消落次序时未考虑弃水风险的存在,难以满足实际消落控制需求。为此,以金沙江下游梯级枢纽为例,构建了梯级水库汛前消落控制模型,针对不同典型来水并通过设定梯级各水库不同消落时机代入模型进行模拟调度,得到了梯级不同时机组合所对应的发电量和弃水量,从中推求出不同来水情景下兼顾发电和弃水的梯级水库最优消落时机。结果表明,确定的梯级消落控制方法能很好地适应不同的调度需求,可为金沙江下游梯级水库消落调度工程应用提供指导。 The control of cascade reservoirs in the river basin before flood season is one of the key issues for reservoir scheduling.However,the traditional discriminant coefficient method does not consider the existence of the risk of abandoning water when determining the sinking order of reservoir groups,and it is difficult to meet the actual sinking control needs.Therefore,this article takes the cascade hub in the lower reaches of the Jinshajiang River as the research object,and builds a cascade reservoir pre-flood control model.For different typical inflows and by setting different cascade fading times of the reservoirs,the simulation scheduling is carried out.The combination of power generation and spillage water corresponding to different fading times combinations of cascades,and finally the optimal sinking time of cascade reser voirs is derived considering power generation and spillage water in different inflow scenarios.The results show that the cascade sinking control method determined by the method can well adapt to different dispatching requirements and provide guidance for the application of the cascade sinking dispatch project in the lower reaches of the Jinshajiang River.
作者 朱锦干 周建中 张勇传 ZHU Jin-gan;ZHOU Jian-zhong;ZHANG Yong-chuan(Hubei Key Laboratory of Digital Watershed Science and Technology,School of Hydropower and Information Engineering,Huazhong University of Science and Technology,Wuhan 430074,China)
出处 《水电能源科学》 北大核心 2020年第7期61-64,共4页 Water Resources and Power
基金 国家自然科学基金重点项目(U1865202) 国家重点研发计划(2016YFC0402205)。
关键词 金沙江下游梯级 消落时机 不同来水情景 弃水风险 cascade in the lower reaches of the Jinshajiang River fade time different inflow scenarios abandoned water risk
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