Reliability Analysis And Maintenance Optimization Research Of Wind Power Generation System Base On Markov Process

In recent years, the rapid development of wind power industry in the world, wind power has become an indispensable important power in renewable energy generation industry. The structure of large wind turbine is becoming increasingly complex, along with the unit operation condition and environment more complicated, lead to the high failure rate of the wind power generation system. The traditional maintenance mode of the wind farm also gradually exposed its shortcomings, which makes the reliability of the wind power system is difficult to be guaranteed, and the wind power utilization rate is not high. Aiming at the problems of reliability evaluation and operational maintenance for the wind power generation system, in this paper, the reliability analysis and maintenance strategy optimization of wind power generation system was carried out, the specific research work was shown below.First of all, the operation principle and fault mechanism of the doubly-fed induction wind turbines were analyzed, the main failure types of key components were summarized, a new method was proposed for tracing the reliability and recognizing the system weak parts using the fault tree analysis. The fault tree evaluation model of wind power generation system was established based on system structure and fault tree analysis theory, and reliability of the system was evaluated quantitatively by the minimal cut set method in the fault tree. The reliability index of the wind power generation system and the direct allocation of the various components were obtained by using the reliability and tracking algorithm of the fault tree, and given the improvement measures of the system reliability.Secondly, the reliability model of main fault components in the doubly fed wind power generation system was built, taking into account the situation of incomplete between the system components, the Markov reliability model of directed-network based on reliability theory for wind power system was proposed. The state transition diagram was established by using the relationship of the state transition, then, the reliability of the system was analyzed by using Markov process method. The expressions of various transient and steady state index were given, on this basis, the relationship between component failure rate and repair rate changes on the availability of the system was discussed deeply.Finally, the process of the transfer of the fault state and operation state was analyzed, the reliability model was established of doubly fed system. The influence of detection time for system availability was discussed, the repair model of the double fed induction generation system was established by using Markov process. Based on the comprehensive consideration of the reliability and economy of the system, the maintenance time and maintenance strategy are optimized. The numerical analysis shows that the optimization strategy can reduce the maintenance cost of the whole life cycle and improve the operation efficiency of the power enterprises.