Method for Daily Operation of Hydropower Stations With One Reservoir Based on Cluster Analysis and Decision Tree Technique

被引：0

作者：

Shen J. ^{[1
]}

Zhang N. ^{[1
]}

Cheng C. ^{[1
]}

Zhang C. ^{[1
]}

机构：

[1] Institute of Hydropower & Hydroinformatics, Dalian University of Technology, Dalian, 116023, Liaoning

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Cascaded hydropower plants with one; Cluster; Decision tree; Generation schedule; reservoir;

D O I：

10.13334/j.0258-8013.pcsee.180228

中图分类号：

学科分类号：

摘要：

Short-term operation of cascaded hydropower plants with one reservoir is very difficult because the generation of downstream hydropower plant is highly sensitive to the release of upstream reservoir. This paper developed a novel practical method for short-term operation based on knowledge rule technology. This method integrates the cluster analyst and decision tree algorithm. First, energy production relationship among cascaded hydropower plants was determined by the linear regression method. Second, typical generation curves of all hydropower plants were identified using cluster analysis method based on massive practical data. These curves were classified into several generation decision processes by considering daily energy production demand, forebay water level and grid characteristic. Thus, the decision library of generation operation can be built. Besides, several strategies of solving complex operation constraints were presented to guarantee the feasibility and practicality of optimal results. This method was verified to determine the day-ahead generation schedule for Tianshengqiao cascaded hydropower plants in Hongshui River. Results show that the method can quickly obtain generation schedule according to the given conditions and constraint boundaries. Moreover, the obtained generation profile is consistent with history records. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：652 / 663

页数：11

共 21 条

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