Cooperative Control of Wind Farms under Maintenance Constraints

被引：0
|
作者：
Buccafusca, Lucas [1 ,2 ]
Beck, Carolyn L. [1 ,2 ]
机构：
[1] Univ Illinois, Dept Ind & Enterprise Syst Engn, Urbana, IL 61801 USA
[2] Univ Illinois, Coordinated Sci Lab, Urbana, IL 61801 USA
来源：
2022 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS, CCTA | 2022年
关键词：
Cooperative Systems; Multiobjective Control; Nonconvex Optimization; Wind Farms; MODEL-FREE APPROACH; TURBINE WAKES; OPTIMIZATION;
D O I：
10.1109/CCTA49430.2022.9966154
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we incorporate wake steering models into a multiobjective wind farm model for improving power extraction, specifically under the framework of handling maintenance of individual turbines. We expand upon a previous heuristic method to find axial induction factors for the far-field wake problem and using the results of the algorithm as parameters for a model predictive control framework. Simulation results are discussed, demonstrating improved power output over algorithms that do not account for maintenance.
引用
收藏
页码：568 / 574
页数：7
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