Cooperative Yaw and Induction Control for Wind Farm and Its Effectiveness in Providing Secondary Frequency Regulation

This paper introduces a novel dual point gradient descent method specifically designed to tackle the challenge of local optima in wind farm power optimization problems. Unlike conventional approaches that frequently get trapped in suboptimal solutions, this method enhances the likelihood of achieving global optimality. We extensively test the proposed approach through a series of case studies, focusing on its convergence speed and capability to maintain global optimality, particularly for wind farms operating in Automatic Generation Control (AGC) mode. The results confirm the method’s effectiveness, showcasing its potential as a robust solution for optimizing wind farm power output under varying operational conditions.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10991690
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Cooperative Yaw and Induction Control for Wind Farm and Its Effectiveness in Providing Secondary Frequency Regulation

Jin Xu, Zishuo Huang, Jiang Li, Guojian Li et al.
Power Systems and Renewable Energy
article

Cooperative Yaw and Induction Control for Wind Farm and Its Effectiveness in Providing Secondary Frequency Regulation

Jin Xu, Zishuo Huang, Jiang Li, Guojian Li, Zhenfeng Wang, Jihui Dong
article en

Abstract

This paper introduces a novel dual point gradient descent method specifically designed to tackle the challenge of local optima in wind farm power optimization problems. Unlike conventional approaches that frequently get trapped in suboptimal solutions, this method enhances the likelihood of achieving global optimality. We extensively test the proposed approach through a series of case studies, focusing on its convergence speed and capability to maintain global optimality, particularly for wind farms operating in Automatic Generation Control (AGC) mode. The results confirm the method’s effectiveness, showcasing its potential as a robust solution for optimizing wind farm power output under varying operational conditions.

Tsinghua Sichuan Energy Internet Research Institute (CN), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 62%
Power Systems and Renewable Energy
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