Bi-level Optimization for Hydrothermal Unit Maintenance Considering Generation Right Transaction

被引：0
|
作者：
Dai J. [1 ]
Jiang Y. [1 ]
Tian N. [1 ]
Dong J. [2 ]
Liu M. [2 ]
Xie M. [2 ]
机构：
[1] Power Dispatching and Control Center of Guizhou Power Grid, Guiyang
[2] School of Electric Power Engineering, South China University of Technology, Guangzhou
来源：
Gaodianya Jishu/High Voltage Engineering | 2022年 / 48卷 / 10期
关键词：
bi-level programming; cascade hydropower; generation right transaction; hydrothermal unit maintenance; KKT condition;
D O I：
10.13336/j.1003-6520.hve.20210778
中图分类号：
学科分类号：
摘要：
The reasonable maintenance arrangement of hydrothermal units is an important measure to ensure power system’s reliable operation. The generation right transaction is an effective way to redistribute generation resources. In this paper, taking the complex characteristics of the cascade hydropower into account, and focusing on the coupling relationship between unit maintenance and generation right transaction, we built a bi-level programming model to optimize unit maintenance considering generation right transaction in annual time scale for provincial power grid. In accordance with this large-scale mixed-integer bi-level nonlinear programming problem, we put forward the price discretization based linearization (PDBL) method to linearize the objective function at the upper level problem and replace the lower-level problem by its Karush-Kuhn-Tucker (KKT) condition, so as to transform the original problem into a mixed-integer single-level linear programming problem that can be solved directly. Finally, based on an actual provincial power system, the proposed bi-level programming model is simulated for whole year. The results show that the unit maintenance optimization considering generation right transaction can further improve the income of hydrothermal units and promote the consumption of clean energy. © 2022 Science Press. All rights reserved.
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页码：4143 / 4153
页数：10
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