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Keywords

deep-sea offshore wind power; reliability evaluation; wind speed; offshore platform; model predictive control

Abstract

With higher wind speeds and broader development space, deep-sea offshore wind power demonstrates significant potential for growth. To address the reliability and optimization challenges associated with integrating deep-sea offshore wind power into marine platform power systems under the impact of wind speed and wind power fluctuations, initially, the correlation between wind speeds at different heights above sea level is investigated, establishing a relationship between wind speeds at various heights and those at 10 meters. Subsequently, an optimized wind power storage dispatching method is proposed. By considering the system reliability, energy storage limit, and other constraints, the model predictive control algorithm is used to solve the dispatching. Finally, the Roy Billinton test system (RBTS) system is utilized to verify the impact of wind power integration on system reliability and the effectiveness of the proposed wind power storage dispatching model. The results indicate that the wind speed correction at hub height is crucial for system reliability evaluation. The rational utilization and dispatching of energy storage can significantly enhance reliability, providing a valuable supplement to the reliability evaluation of deep-sea offshore wind power.

DOI

10.19781/j.issn.1673-9140.2025.01.016

First Page

155

Last Page

162

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