@article{(Open Science Index):https://publications.waset.org/pdf/5795,
	  title     = {Estimated Production Potential Types of Wind Turbines Connected to the Network Using Random Numbers Simulation},
	  author    = {Saeid Nahi and  Seyed Mohammad Hossein Nabavi},
	  country	= {},
	  institution	= {},
	  abstract     = {Nowadays, power systems, energy generation by wind
has been very important. Noting that the production of electrical
energy by wind turbines on site to several factors (such as wind speed
and profile site for the turbines, especially off the wind input speed,
wind rated speed and wind output speed disconnect) is dependent. On
the other hand, several different types of turbines in the market there.
Therefore, selecting a turbine that its capacity could also answer the
need for electric consumers the efficiency is high something is
important and necessary. In this context, calculating the amount of
wind power to help optimize overall network, system operation, in
determining the parameters of wind power is very important.
In this article, to help calculate the amount of wind power plant,
connected to the national network in the region Manjil wind,
selecting the best type of turbine and power delivery profile
appropriate to the network using Monte Carlo method has been.
In this paper, wind speed data from the wind site in Manjil, as minute
and during the year has been. Necessary simulations based on
Random Numbers Simulation method and repeat, using the software
MATLAB and Excel has been done.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {5},
	  number    = {1},
	  year      = {2011},
	  pages     = {197 - 204},
	  ee        = {https://publications.waset.org/pdf/5795},
	  url   	= {https://publications.waset.org/vol/49},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 49, 2011},
	}