IJMCR ISSN: 2321–3124
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Article Published In Vol.2 (Sept-Oct-2014)

Short and Mid-Term Wind Power Forecasting with ANN-PSO

Author : Hossein Lotfi,Mohammadbaghernaghibi, Toktam Lotfi and Sadegh Hesari

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Wind energy as a source of renewable energy and with the low pollution had a significant growth in recent years. One of the main problems in the use of wind turbines , is rapid changes in output power of these turbines. The wind power depends on the wind speed, which is a random variable and irregular, For efficient operation of wind power units accurate short-term forecasts are essential. The knowledge of future power generation frome wind turbines is useful for schedulers, transmission operators and energy traders. This paper presents a wind power prediction model based on Elman neural network -Particles swarm optimization algorithm. The Data have been used For two sites stanford and chester in the USA in 2008 and 2009. These data include: wind speed, temperature, output power.

Keywords: Artificial Neural Network(ANN), Particles Swarm Optimization(Pso), Wind power plant, Foreastin

 

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