Newest papers

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

Portuguese

A integração confiável e rentável de grandes parques eólicos offshore em sistemas de energia é amplamente influenciada por operações de manutenção. Até à data, os produtores de energia dependem principalmente de informações de nível agrícola (por exemplo, sinais de saúde, geração de energia, condições meteorológicas) para o planejamento de manutenção de frotas de turbinas eólicas. Propomos considerar informações adicionais de nível de rede em operações de manutenção, como cortes de geração e preços de mercado. Períodos de cortes de alta geração ou preços negativos de eletricidade podem ser vistos como oportunidades de manutenção preventiva, uma vez que os ativos estão totalmente ou parcialmente fechados devido a restrições impostas pela rede de turbinas eólicas. Primeiro, estabelecemos analiticamente que o acesso

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.

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

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

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange