<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/5795" mdate="2011-01-26 00:00:00"> <author>Saeid Nahi and Seyed Mohammad Hossein Nabavi</author> <title>Estimated Production Potential Types of Wind Turbines Connected to the Network Using Random Numbers Simulation</title> <pages>197 - 204</pages> <year>2011</year> <volume>5</volume> <number>1</number> <journal>International Journal of Computer and Systems Engineering</journal> <ee>https://publications.waset.org/pdf/5795</ee> <url>https://publications.waset.org/vol/49</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <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.</abstract> <index>Open Science Index 49, 2011</index> </article>