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D2.3 A wind farm ancillary service algorithm with optimal fatigue distribution

Huang, Liang

Zenodoプレプリント2026-06-17#エネルギー転換Origin: EU経営インパクト: コスト削減対象セクター: power
DOI: 10.5281/zenodo.20725444
原典: https://zenodo.org/records/20725444
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🤖 gxceed AI 要約

日本語

本論文は、風力発電所が系統安定化サービス(慣性応答、周波数支援)を提供する際に、風車の機械的疲労を低減する制御アルゴリズムを提案する。シミュレーションにより、グリッド側DC電圧制御がマシン側制御より疲労が少ないことを示し、風車群への適用効果を確認した。

English

This paper proposes a wind farm ancillary service algorithm that minimizes mechanical fatigue by selecting grid-side DC voltage control and using energy reservation. Simulations show effectiveness in balancing frequency support and turbine lifetime.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

日本では洋上風力発電の導入拡大が進んでおり、系統安定化と設備寿命の両立は実務上の課題。本論文の制御手法は、風力発電事業者のメンテナンスコスト削減に寄与する可能性がある。

In the global GX context

As wind power penetration grows globally, this work addresses the trade-off between grid support and turbine fatigue, offering a control strategy that can improve operational efficiency and reduce maintenance costs for wind farm operators.

👥 読者別の含意

🔬研究者:Provides a control algorithm for wind farm ancillary services with fatigue optimization, useful for those working on wind turbine control and grid integration.

🏢実務担当者:Wind farm operators can apply the grid-side DC voltage control scheme to extend turbine life while providing grid support.

📄 Abstract(原文)

Ancillary services like inertial response and frequency support are crucial for power systems because they keep the power system stable, reliable, and resilient, especially as more renewable energy (like wind energy) replaces traditional power plants. However, when the wind turbine generators are equipped with the ancillary service function, they need to rapidly change the output power to support the grid frequency variation. As a result, the mechanical torque of the turbine side is changed dynamically. When a larger torque is added to the turbine’s shaft, it might increase the mechanical stress and fatigue of the turbine, which eventually might reduce its lifetime. In order to analyse the impact of the grid-side ancillary service on the mechanical fatigue of the turbine, a full wind turbine generator model, including the aerodynamic wind turbine model, the drive train model, the permanent magnet synchronous generator (PMSG) model, and the back-to-back converter model, is built initially in this task. Then, the two general types of converter control schemes (i.e., machine-side DC voltage control and grid-side DC voltage control) are applied to the developed full wind turbine model. Based on the simulation studies, test results demonstrate that the mechanical stresses by using both control methods are generally identical, but the machine-side DC voltage control leads to a slightly higher mechanical stress compared with the grid-side DC voltage control scheme. According to the above studies, the grid-side DC voltage control scheme with ancillary service is used to minimize fatigue. Besides, a wind farm ancillary service control algorithm based on high-speed side or low-speed side energy reservation is also developed. Finally, the developed wind farm ancillary service control algorithm is applied to a multiple-wind turbine system to show the effectiveness of the ancillary service function and fatigue optimization.

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