Affiliation:
1. School of Energy, Power and Mechanical Engineering, North China Electric Power University, Beijing, China
Abstract
The maintenance costs of offshore wind turbines operated under the irregular, non-stationary conditions limit the development of offshore wind power industry. Unlike onshore wind farms, the weather conditions (wind and waves) have greater impacts on the operation and maintenance of offshore wind farm. Accessibility is a key factor related to the operation and maintenance of offshore wind turbine. Considering the impact of weather conditions on the maintenance activities, the Markov method and dynamic time window are applied to represent the weather conditions, and an index used to evaluate the maintenance accessibility is then proposed. As the wind turbine is a multi-component complex system, this article uses the opportunistic maintenance strategy to optimize the preventive maintenance age and opportunistic maintenance age for the main components of the wind turbine. Taking the minimum expectation cost as objective function, this strategy integrates the maintenance work of the key components. Finally, an offshore wind farm is taken for simulation case study of this strategy; the results showed that the maintenance cost of opportunistic maintenance strategy is 10% lower than that of the preventive maintenance strategy, verifying the effectiveness of the opportunistic maintenance.
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference24 articles.
1. A multivariate Markov Weather Model for O&M Simulation of Offshore Wind Parks
2. Liu C (2008) Stochastic Processes. Wuhan, China: Huazhong University of Science and Technology Press, pp. 42–45.
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