Stochastic streamflow model for hydroelectric systems using clustering techniques
Stochastic streamflow model for hydroelectric systems using clustering techniques
复制标题
使用聚类技术的水力发电系统随机水流模型
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
D. Falcão
中科院分区：
文献类型：
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作者：
D.L.D.D. Jardim;M. Maceira;D. Falcão
本文将聚类技术应用于巴西水力发电系统的月流量生成模型中，以减轻中期运行规划模型的计算工作量。本文分为三个部分。第一部分简要介绍了多水库水电系统中期最优运行策略的计算模型。第二部分提出了基于周期水文序列自回归模型的月流量模型。最后一部分描述了用于根据对象的内在属性对其进行分组的多变量技术。用一个案例研究来说明这种方法的性能。
In this paper, clustering techniques were applied in the monthly streamflow generation model developed for the Brazilian hydroelectric system to alleviate the computational effort in the mid-term operation planning model. The work is organized in three parts. The first part describes briefly the model for calculating mid-term optimal operating strategies in a multi-reservoir hydroelectric system. The second part presents the monthly streamflow model based on autoregressive modeling of periodic hydrologic series. The last part describes multivariate techniques that are used to group objects based on their intrinsic properties. A case study is used to illustrate the performance of this approach.