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文章摘要
海上风机综合检修优化策略
Optimization strategy for comprehensive maintenance of offshore wind turbines
Received:June 04, 2019  Revised:June 04, 2019
DOI:
中文关键词: 海上风机  运维策略  备件优化  联合优化  循环利用
英文关键词: Offshore Wind turbines, Maintenance strategy, pare parts optimization, joint optimization  Recycling
基金项目:国家自然科学基金资助项目(51707112);上海绿色能源并网工程技术研究中心(13DZ2251900)
Author NameAffiliationE-mail
Huang Lingling Shanghai University of Electric Power xunjianxj@126.com 
Xun Jian* Shanghai University of Electric Power xunjianxj@126.com 
Wang Hao Jurong City Power Supply Branch of State Grid Jiangsu Electric Power xunjianxj@126.com 
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中文摘要:
      风机的维护策略与备件配置是海上风电场维护优化的两个重要内容。文章针对海上风机维护策略和备件联合优化的问题,提出了一种兼顾部件离线维护与循环使用的齿轮箱综合检修优化策略。在此策略的基础上,结合风电机组部件的状态劣化过程与海上维护的可及性约束,建立以运维变量和备件变量为决策变量,以单位时间单位设备平均费用率最小为目标的优化模型,并采用遗传算法和蒙特卡罗仿真相结合的方法对该优化问题进行求解。算例结果表明:该综合策略有效的提高部件可用率,降低运维成本,验证了综合检修优化策略的有效性。
英文摘要:
      Maintenance strategy and spare parts allocation of wind turbines are two important aspects of maintenance optimization of offshore wind farms. Aiming at the problem of joint optimization of maintenance strategy and spare parts for offshore wind turbines, this paper puts forward a comprehensive maintenance optimization strategy for gearbox, which takes both off-line maintenance and recycling of components into account. On the basis of this strategy, combined with the deterioration process of wind turbine components and the accessibility constraints of offshore maintenance, an optimization model is established, which takes operation and maintenance variables and spare parts variables as decision variables and takes the minimum average cost rate per unit time as objective. The optimization problem is solved by combining genetic algorithm with Monte Carlo simulation. The results show that the integrated maintenance strategy can effectively improve the availability of components and reduce the cost of operation and maintenance, which verifies the effectiveness of the integrated maintenance optimization strategy.
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