一种复杂气象条件下的海上风电场可靠性评估方法
By generating random wind speed and wave height sequences, a time-varying fault model and a dynamic maintenance opportunity model for components are constructed, solving the problem of dynamic changes in meteorological conditions in the reliability assessment of offshore wind farms and achieving a more accurate reliability assessment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INST OF ELECTRONICS & INFORMATION ENG OF UESTC IN GUANGDONG
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing reliability assessment methods for offshore wind farms are insufficient to reflect the dynamic changes in the probability of failure and the maintenance and recovery process under complex weather conditions, and they also fail to adequately identify weather-related interruptions in maintenance initiation conditions and processes, leading to discrepancies between assessment results and actual conditions.
By acquiring historical meteorological data, generating random wind speed and significant wave height sequences, constructing a time-varying fault model for components, combining it with a dynamic maintenance opportunity model, and using the sequential Monte Carlo algorithm to simulate the operating status of offshore wind farms, reliability indicators are evaluated.
It can more accurately reflect the time-varying characteristics of wind turbine component failure rate and maintenance process under complex weather conditions, thus improving the rationality and engineering applicability of offshore wind farm reliability assessment.
Smart Images
Figure CN122413633A_ABST