This paper addresses design and development of an artificial neural network based system for prediction of wind energy produced by wind turbines. Now in the last decade, renewable energy emerged as an additional alternative source for electrical power generation. We need to assess wind power generation capacity by wind turbines because of its nonexhaustible nature. The power generation by elect...

In this paper, the performance analysis of wind turbine as a distributed generation unit is presented. In this study a model of wind power is driven by an induction machine. Wind power that is distributed generation is capable of supplying power to ac power distribution network. Wind power generation system is modeled and simulated using Matlab Simulink software such that it can be suitable for...

Renewable wind generation presents many challenges for accurate and timely generation forecasts due to site topology, turbine layout and their potential wake effects and local network constraints, particularly for generators operating in fast changing, low or high wind resource conditions. Internationally, short term generation forecasting for wind power plants has become a critical issue for m...

Iran is a country completely dependent on fossil fuel resources. In order to obtain a diversity of energy sources, it requires other resources, especially renewable energy. Utilization of wind energy appears to be one of the most efficient ways of achieving sustainable development. The quantification of wind potential is a pivotal and essential initial step while developing strategies for the de...

With the expansion of wind farm installations in most countries all over the world, the power generation has already significantly influenced on the stability and security of the power grid after gridconnection. Wind power forecasting is an effective method for guarantees stability of the power output from wind farm. This paper proposed an improved GM(1,1) based prediction method, and focuses o...

The amount of wind power generation aims for three millions kWh by 2010 in Japan. It is very few offshore construction in Japan compared with European countries. It is generally said that offshore wind energy is greater than in land area, and few disturbance. In Japan, suitable construction sites for wind power generation in land are decreasing, then, the construction of wind power generation i...

The Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind turbine control methods, and transmission system operation requirements. These differences are even greater for aggregated wind power generation in power systems with high wind...

Abstract The power generation of wind energy conversion system (WECS) is varied with wind speed. Although wind power generation is not dispatch able, an accurate forecasting method of wind power generation for WECS can help the power system operator to reduce operating costs of power system. The artificial neural network is one of the best tools applied to forecast. This paper uses the back pro...