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文章摘要
考虑台风天气影响的海上风电机组预防性维护策略
Preventive maintenance strategy of offshore wind turbine considering the impact of typhoon weather
Received:May 04, 2023  Revised:May 25, 2023
DOI:10.19753/j.issn1001-1390.2025.11.017
中文关键词: 海上风电机组  台风天气  预防性维护策略  冲击退化模型  役龄回退  多维变量二分法
英文关键词: offshore wind turbine, typhoon weather, preventive maintenance strategy, impact degradation model, service age fallback, multi-dimensional variable dichotomy
基金项目:国家自然科学基金项目(52177097);上海市教育委员会科研创新计划项目(2021-01-07-00-07-E00122)
Author NameAffiliationE-mail
LIU Lujie School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China susiellj@163.com 
LI Chuanwen School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China 1793137535@qq.com 
FU Yang* School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China mfudong@126.com 
HUANG Lingling School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China linglinghuang82@126.com 
GENG Fuhai State Power Investment Group Shanghai Energy Technology Development Co., Ltd., Shanghai 200233, China gengfuhai@spic.com.cn 
PANG Liping State Grid Shanghai Urban Power Supply Company, Shanghai 200122, China judy_98@sina.com 
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中文摘要:
      我国海上风电集群化发展的沿海海域是台风天气影响严重的区域。针对台风天气影响下的海上风电机组维护问题,提出了考虑台风天气影响的海上风电机组预防性维护策略。文中提出了考虑部件退化状态与台风冲击相依的部件可靠度,进而构建考虑可靠度影响的维护役龄回退模型,量化台风冲击对机组部件退化以及维护的影响。根据役龄回退模型评估维护效能,以机组全寿命周期内的维护成本最低为目标,在海上可及时间、维护方式等约束下,建立考虑台风天气影响的海上风电机组预防性维护模型,优化可变维护阈值,并基于改进多维变量二分法对模型求解。仿真结果表明,所提模型能够有效降低海上风电机组维护成本以及故障损失,提高了维护效益。
英文摘要:
      The coastal areas where offshore wind power clustering is developing in China are severely affected by typhoon weather. For the maintenance of offshore wind turbines under the influence of typhoon weather, this paper proposes a preventive maintenance strategy for offshore wind turbines considering the influence of typhoon weather. Firstly, a component reliability model considering the dependence of component degradation status and typhoon impact is proposed, and then, a maintenance age regression model considering the 〖JP+2〗impact of typhoon impact is constructed to quantify the impact of typhoon impact on unit component degradation and maintenance. The maintenance efficiency is evaluated according to the service life regression model. With the lowest maintenance cost within life cycle of the unit as the goal, under the constraints of offshore accessibility time, maintenance mode, etc., a preventive maintenance model for offshore wind turbine units considering the impact of typhoon weather is established, and the variable maintenance threshold is optimized. The model is solved based on the improved multi-dimensional variable dichotomy. The simulation results show that the model proposed in this paper can effectively reduce the maintenance costs and fault losses of offshore wind turbines, and improve maintenance efficiency.
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