عنوان مقاله [English]
Renewable Wind power plants are among the cleanest centers of electricity generation which have a special advantage over fossil power plants (nonrenewable) due to the replacement of wind with fossil fuels to generate electricity. Since in a wind farm 25 to 30 percent of the total cost is related to maintenance and repair costs, it will be possible to welcome wind turbine technology only by managing costs so that upon reducing these costs, the acceptance of this technology will grow. The failure rate of large turbines is much higher than the average and small ones; as a result, the cost of maintaining and repairing these turbines increases non-linearly with the increasing capacity of power plants; therefore, reducing maintenance costs in these power plants is of particular importance. Process equipment maintenance
enables network services to be available when needed and to ensure that maintenance services retain their asset value as capital. Traditionally,
maintenance activities are carried out in different ways by different people Van. Wind turbines are one of the growing sources of renewable energy production in today's world, which constantly needs to reduce operating and maintenance costs. In this paper, the Agent-based modelling approach is used to solve the problem of optimizing the potential (capacity) of maintenance services in a renewable wind power station. The results of the proposed model confirm that the founding approach provides a suitable platform for dealing with the complexities of the problem including system dynamics and system uncertainties such as parameters and pattern and wind time in the region. The
development of different scenarios and the analysis of cost sensitivity in terms of the number of allocated service resources indicated that a 3-point increase in the capacity to provide maintenance services would lead to a minimum amount of costs and increase system efficiency.