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From Market Signals to Maintenance Decisions: Grid-Informed Maintenance Optimization in Offshore Wind Farms

Keyi Wang, Robert Mieth, Ahmed Aziz Ezzat · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.28167 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

到目前为止,电力生产商主要依靠农场级信息(例如,健康信号,发电,天气状况)来规划风力涡轮机车队的维护。我们建议在电力系统的维护中考虑额外的电网级信息,如发电缩减和市场定价。高发电缩减或负电价的时期可以被视为预防性维护的机会,因为资产因风力涡轮机车队的限制而完全或部分关闭。我们首先分析确认,市场信息的获取在风力发电和市场定价下进行维护的计划具有非负经济价值,为处理市场和电网信息作为维护的机会提供了理论基础。然后,我们制定了一个网络知情的机遇性维护计划模型,以确保在美国的混合式混合式合用电池上获得的信息,在农场

Machine translation (Meta M2M100); the English original follows.

Abstract

The reliable and cost-effective integration of large-scale offshore wind farms into power systems is largely influenced by maintenance operations. To date, power producers primarily rely on farm-level information (e.g., health signals, power generation, weather conditions) for maintenance planning of wind turbine fleets. We propose to consider additional grid-level information in maintenance operations, such as generation curtailment and market pricing. Periods of high generation curtailment or negative electricity pricing can be viewed as opportunities for preventive maintenance, since assets are fully or partially shut down due to grid-imposed constraints. We first analytically establish that access to market information has non-negative economic value for maintenance scheduling under a stylized setting, providing a theoretical foundation for treating market and grid information as a maintenance opportunity. We then formulate a grid-informed opportunistic maintenance scheduling model as a receding-horizon mixed integer linear program that jointly leverages both farm- and grid-level signals under realistic conditions to determine a maintenance plan for offshore wind turbines. Considering a 600-MW offshore wind farm in the United States, our proposed method reduces annual maintenance costs by up to 10%, while enhancing asset availability and resource utilization, relative to advanced maintenance models that solely rely on farm-level information.

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Topics: Offshore wind power, Wind power, Grid, Turbine, Stylized fact, Scheduling (production processes)

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