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

• New Energy • Previous Articles     Next Articles

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).

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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