Title :
Optimization maintenance of wind turbines using Markov decision processes
Author :
Wu, Yan-ru ; Zhao, Hong-shan
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
As the wind power industry is getting more mature, and wind farms are taking their place as one of the mainstream options for new power generation, the demands for ensuring the wind turbines of reliable and economical operation are getting higher. Maintenance is indispensable to the core business objectives of the wind industry. Maintenance optimization is a means to determine the most cost-effective maintenance strategy. After studied the exiting maintenance method of wind turbines, this brief paper presents a method which incorporates modeling of equipment deterioration, inspection and minor & preventive maintenance for optimal maintenance decision. Using Markov decision processes, we provide an optimal cost-effective maintenance policy including maintenance actions based on the condition revealed at the time of inspection and inspection interval. Furthermore, an example is presented to illustrate the implementation of proposed method.
Keywords :
Markov processes; maintenance engineering; optimisation; power generation economics; wind turbines; Markov decision processes; economical operation; inspection interval; optimal cost-effective maintenance policy; optimal maintenance decision; optimization maintenance method; preventive maintenance; wind farms; wind power industry; wind turbines; Inspection; Markov processes; Optimization; Preventive maintenance; Wind power generation; Wind turbines; Condition-based maintenance; Cost-effective solution; Gearbox; Optimization maintenance; Semi-Markov Decision Processes; Wind turbines;
Conference_Titel :
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-5938-4
DOI :
10.1109/POWERCON.2010.5666092