Wind farm active wake control via concurrent yaw and tip-speed ratio optimization

Amir Hosseini, Daniel Trevor Cannon and Ahmad Vasel-Be-Hagh

Applied Energy, 2025, vol. 377, issue PD, No S0306261924020087

Abstract: Aerodynamic loss, also known as wake loss, is the most significant loss hindering wind energy from rising beyond its current single-digit percent contribution to global electricity generation. This research explores the effectiveness of integrating real-time yaw and tip-speed ratio (TSR) optimizations to address this issue. This combined adaptive control strategy, which has never been investigated before, amplifies the advantages of individual yaw and TSR optimizations while addressing some of their challenges. The proposed adaptive optimization strategy leverages particle swarm optimization and the FLOw Redirection and Induction in Steady State (FLORIS) model to continuously adjust individual wind turbines' yaw angle and TSR based on real-time wind conditions. This optimization algorithm enhances the farm's energy production by dynamically misaligning a subset of the turbine's rotor to redirect their wake away from their downstream counterparts. Simultaneously, it decreases the tip-speed ratio of a different subgroup of turbines to non-optimal conditions, leaving more power in their wake for their downstream counterparts to harvest. According to the models, implementing the integrated yaw-TSR optimization at Lillgrund, an offshore wind farm in Sweden, increased the annual energy production (AEP) by 4.85 %. This improvement surpassed the outcomes predicted for individual yaw or TSR optimizations, which yielded a 3.9 % and 2.7 % increase, respectively. This also decreased the farm-averaged yaw misalignment and TSR, which offer essential structural and environmental advantages.

Keywords: Wind energy; Renewable energy; Wind farm; Optimization; Yaw control; TSR control (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261924020087
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:377:y:2025:i:pd:s0306261924020087

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2024.124625

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().