Open Access

ARTICLE

A Partitioned Yaw Control Algorithm for Wind Farms Using Dynamic Wake Modeling

Yinguo Yang¹, Lifu Ding^2,*, Yang Liu¹, Bingchen Wang², Weihua Wang¹, Ying Chen²

1 Power Dispatch Control Center, Guangdong Power Grid Company Ltd., Gaungzhou, 510000, China
2 Department of Electrical Engineering, Tsinghua University, Beijing, 100084, China

* Corresponding Author: Lifu Ding. Email:

(This article belongs to the Special Issue: Integrated Technology Development and Application of Wind Power Systems)

Energy Engineering 2025, 122(7), 2571-2587. https://doi.org/10.32604/ee.2025.065716

Received 20 March 2025; Accepted 30 April 2025; Issue published 27 June 2025

Abstract

This paper addresses the complexity of wake control in large-scale wind farms by proposing a partitioning control algorithm utilizing the FLORIDyn (FLOW Redirection and Induction Dynamics) dynamic wake model. First, the impact of wakes on turbine effective wind speed is analyzed, leading to a quantitative method for assessing wake interactions. Based on these interactions, a partitioning method divides the wind farm into smaller, computationally manageable zones. Subsequently, a heuristic control algorithm is developed for yaw optimization within each partition, reducing the overall computational burden associated with multi-turbine optimization. The algorithm’s effectiveness is evaluated through case studies on 11-turbine and 28-turbine wind farms, demonstrating power generation increases of 9.78% and 1.78%, respectively, compared to baseline operation. The primary innovation lies in coupling the higher-fidelity dynamic FLORIDyn wake model with a graph-based partitioning strategy and a computationally efficient heuristic optimization, enabling scalable and accurate yaw control for large wind farms, overcoming limitations associated with simplified models or centralized optimization approaches.

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Keywords

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