中国电力 ›› 2016, Vol. 49 ›› Issue (8): 74-80.DOI: 10.11930/j.issn.1004-9649.2016.08.074.07

• 新能源 • 上一篇    下一篇

基于可及度评估的海上风机机会维修策略

符杨1,许伟欣1,刘璐洁1,赵华2,庞莉萍3   

  1. 1. 上海电力学院 电气工程学院,上海 200090;
    2. 国网上海市电力公司 金山供电公司,上海 200540;
    3. 国网上海市区供电公司,上海 200056
  • 收稿日期:2015-09-18 出版日期:2016-08-10 发布日期:2016-08-12
  • 通讯作者: 上海市重点支撑公关计划项目(13160500800);上海市科委科技创新项目(14DZ1200905);上海绿色能源并网工程技术研究中心(13DZ2251900)
  • 作者简介:符杨(1968—),男,江苏南通人,博士,教授,从事海上风电运行维护、城市电网规划、变压器状态检测与故障诊断、风力发电与并网技术等研究。

An Opportunistic Maintenance Strategy for Offshore Wind Turbine Based on Accessibility Evaluation

FU Yang1, XU Weixin1, LIU Lujie1, ZHAO Hua2, PANG Liping3   

  1. 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
    2. State Grid Jinshan Electric Power Supply Company, Shanghai 200540, China;
    3. State Grid Shanghai Urban Electric Power Supply Company, Shanghai 200056, China
  • Received:2015-09-18 Online:2016-08-10 Published:2016-08-12
  • Contact: This work is supported by Shanghai Key-supported Research Program(No. 13160500800); Shanghai Science and Technology Innovation Program (No. 14DZ1200905); Shanghai Green Energy Grid Connected Technology Engineering Research Center (No. 13DZ2251900).

摘要: 海上风电机组的维修费用较高,在一定程度上限制了海上风电产业的发展。针对此现象,提出一种将故障维修与预防性维修相结合的机会维修策略。考虑海上天气情况对维修活动的影响,采用马尔科夫法和动态时间窗描述海上天气状况,提出可及度指标评估海上风电机组维修的可及性。运用蒙特卡洛法模拟部件的随机故障,并选择合适的周期,以周期内成本期望值最小为目标,对仅考虑更换措施以及考虑不完全维修、更换措施的机会维修策略的维修阈值进行优化。以某海上风电机组为例进行仿真,结果表明,考虑不完全维修、更换措施的机会维修策略对降低海上风电维修成本的效果更为可观,从而证明该策略的有效性。

关键词: 风力发电, 海上风机, 机会维修, 马尔科夫, 动态时间窗, 可及度指标

Abstract: Maintenance of offshore wind power plants is known to be expensive and costly and limits the development of offshore wind power industry to a certain extent. In order to solve this problem, the paper proposes an opportunistic maintenance method, which can function both correction and prevention. Considering the impact of weather conditions on the maintenance activities, this method applies the Markov method and dynamic time window to represent the weather conditions, and the index used to evaluate the maintenance accessibility is then proposed. During the investigation, the Monte Carlo method is applied to simulate the component failures and select the appropriate cycle. Taking the minimum expectation cost as objective function, the opportunistic maintenance is optimized by considering the strategy of the perfect maintenance and the strategy of both perfect and imperfect maintenance. An offshore wind farm is taken for simulation case study, and the simulation results indicate that the opportunistic maintenance considering both perfect and imperfect strategies is more economical, which proves the effectiveness of the method.

Key words: wind power, offshore wind turbines, opportunistic maintenance, Markov, dynamic time window, maintenance accessibility (OWMA) index

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