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考虑水流时滞的梯级水电站水库群短期发电优化调度
作者:
作者单位:

华北电力大学可再生能源学院, 北京市 102206

作者简介:

刘源(1996—),男,博士研究生,主要研究方向:水资源与能源科学。E-mail: 13051318441@163.com

通讯作者:

张验科(1983—),男,通信作者,博士,硕士生导师,主要研究方向:水资源与能源科学、风险管理与决策理论。E-mail: ykzhang2008@163.com

基金项目:

国家自然科学基金资助项目(51709105);中央高校基本科研业务费专项资金资助项目(2019MS031);国家重点研发计划资助项目(2016YFC0402208)。


Short-term Generation Optimization Dispatch of Cascade Hydropower Station Reservoirs Considering Time-lag of Water Flow
Author:
Affiliation:

School of Renewable Energy, North China Electric Power University, Beijing 102206, China

Fund Project:

This work is supported by National Natural Science Foundation of China (No. 51709105), the Fundamental Research Funds for the Central Universities (No. 2019MS031) and National Key R&D Program of China (No. 2016YFC0402208).

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    摘要:

    在梯级水电站水库群短期发电优化调度过程中,为了规避水流时滞的影响,基于线性空间原理,建立了上级水库的出库流量、区间入流、下库水位所构成的空间与下级水库的入库流量空间的映射函数,并综合应用数据挖掘中的人工神经网络、 K-means和Relief方法对其进行求解,构建了考虑水流时滞的梯级水电站水库群短期发电优化调度模型。应用于雅砻江流域锦官电源组短期发电优化调度的算例分析表明,所建立的模型能够提高短期发电优化调度方案制作的精度。

    Abstract:

    In order to reduce the impact of time-lag of water flow in the process of short-term generation optimization dispatch of cascade hydropower reservoirs, the mapping function between outflow of upstream reservoir, local inflow, water level and inflow of downstream reservoir is quantized based on the principle of linear space. Secondly, the artificial neural network, K-means and Relief methods in data mining are comprehensively applied to solve the mapping relationship. A short-term generation optimization dispatch model of cascade hydropower reservoirs considering time-lags of water flow is established. Finally, the analysis of case in the application of short-term generation optimization dispatch of Jinguan power package in Yalong River of China shows that, the established model could improve the accuracy of short-term generation dispatching plan.

    表 2 Table 2
    表 1 3类预测入库流量下梯级总发电量对比Table 1 Comparison of cascade total generation power with three types of predicted inflow
    图1 上库出库流量、区间入流、下库水位与下库入库流量之间的对应关系Fig.1 Corresponding relationship between outflow of upstream reservoir, local inflow, water level and inflow of downstream reservoir
    图2 锦屏二级与官地调度方案对比Fig.2 Comparison of schemes of Jinping Ⅱ and Guandi
    图 锦官电源组示意图Fig. Schematic diagram of Jinguan power supply group
    图 官地实际入库、定值入库及第1类预测入库流量过程对比Fig. Comparison of the actual inflow, calculating inflow and the first type of forecast inflow process of Guandi reservoir
    图 官地实际入库、定值入库及第2类预测入库流量过程对比Fig. Comparison of the actual inflow, calculating inflow and the second type of forecast inflow process of Guandi reservoir
    图 官地实际入库、定值入库及第3类预测入库流量过程对比Fig. Comparison of the actual inflow, calculating inflow and the third type of forecast inflow process of Guandi reservoir
    图 不同分类数时的样本SSEFig. SSE for different classification numbers
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引用本文

张验科,刘源,纪昌明,等.考虑水流时滞的梯级水电站水库群短期发电优化调度[J].电力系统自动化,2020,44(6):45-51. DOI:10.7500/AEPS20190411007.
ZHANG Yanke,LIU Yuan,JI Changming,et al.Short-term Generation Optimization Dispatch of Cascade Hydropower Station Reservoirs Considering Time-lag of Water Flow[J].Automation of Electric Power Systems,2020,44(6):45-51. DOI:10.7500/AEPS20190411007.

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  • 收稿日期:2019-04-11
  • 最后修改日期:2019-09-06
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  • 在线发布日期: 2020-03-21
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