MILP method for multi-objective short-term optimal scheduling of cascaded hydropower stations coupling peak-shaving and navigation demands

被引：0
|
作者：
Wu H. [1 ]
Li S. [1 ]
Tang H. [1 ]
Ma X. [2 ]
Zhang X. [2 ]
Liao S. [2 ]
机构：
[1] Electric Power Dispatching and Control Center of China Southern Power Grid Company Limited, Guangzhou
[2] Institute of Hydropower and Hydroinformatics, Dalian University of Technology, Dalian
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2024年 / 44卷 / 01期
关键词：
backwater jacking; mixed-integer linear programming; multi-objective optimal scheduling; normal boundary intersection method;
D O I：
10.16081/j.epae.202303035
中图分类号：
学科分类号：
摘要：
The contradiction between the peak-shaving task of power grid and the demand of river navigation is a critical problem faced by the cascaded hydropower stations with navigation tasks when scheduling, and the jacking effect of interval backwater increases the complexity of the problem. A mixed-integer linear programming model for multi-objective short-term optimal scheduling of cascaded hydropower stations is established considering the backwater influence,which takes the minimum average distances of remaining load and downstream tail water level as the objectives. After the nonlinear constraints are aggregated by the function,the constraints are linearized by the hexahedral grid technology and the second kind special ordered set constraint method. The normal boundary intersection method is used to solve the model. Example results show that the proposed method can fully consider the influence of backwater jacking,consider both the peak shaving and navigation requirements,efficiently solve the multi-objective scheduling problem and obtain ideal results. © 2024 Electric Power Automation Equipment Press. All rights reserved.
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页码：103 / 110
页数：7
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