电力系统自动化2025，Vol.49Issue(22)：170-181,12.DOI:10.7500/AEPS20240227003
考虑海洋环境影响的风电机组两阶段滚动优化维护策略
Two-stage Rolling Optimization Maintenance Strategy for Wind Turbines Considering Influence of Marine Environment
摘要
Abstract
Aiming at the maintenance decision-making problem of offshore wind turbines under the influence of complex marine environments,a two-stage rolling optimization maintenance decision-making method for wind turbines is proposed.Firstly,considering the time-series correlation of multi-dimensional variables in the marine environment,an improved generative adversarial network is used to generate monthly marine environment scenarios for short-term maintenance.Then,accounting for historical seasonal variation characteristics,stochastic sampling is performed on typical monthly scenarios to form marine environment scenarios for long-term maintenance.Secondly,the reliability of turbine components and maintenance waiting time under the influence of the marine environment are considered to reflect the influence of uncertain marine environment scenarios on the maintenance efficiency of wind turbines.Subsequently,a two-stage rolling preventive maintenance model for long-term and short-term maintenance of offshore wind turbines is established to obtain the optimal maintenance strategy under the influence of uncertain marine environment conditions.Finally,simulations are conducted to validate the effectiveness of the proposed maintenance decision-making model and method,and the influence of uncertainties in marine environment scenarios on the maintenance strategy is analyzed.关键词
海上风电机组/海洋环境/维护/滚动优化/生成对抗网络Key words
offshore wind turbine/marine environment/maintenance/rolling optimization/generative adversarial network引用本文复制引用
刘璐洁,单国优,陈龙,符杨,黄玲玲,王昊..考虑海洋环境影响的风电机组两阶段滚动优化维护策略[J].电力系统自动化,2025,49(22):170-181,12.基金项目
国家自然科学基金资助项目(52177097) （52177097）
上海市教育委员会科研创新计划资助项目(2021-01-07-00-07-E00122) （2021-01-07-00-07-E00122）
上海市教育发展基金会和上海市教育委员会"曙光计划"资助项目(23SG49). This work is supported by National Natural Science Foundation of China(No.52177097),the Scientific Research and Innovation Plan Program of Shanghai Education Commission(No.2021-01-07-00-07-E00122),and Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission(No.23SG49). （23SG49）
