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Paper Information

Journal:   JOURNAL OF ENERGY MANAGEMENT   SPRING 2017 , Volume 7 , Number 1 ; Page(s) 2 To 13.
 
Paper: 

ECONOMIC ESTIMATION OF RESERVE REQUIREMENTS OF WIND FARMS WITH USING NEURAL NETWORKS TO PREDICT WIND SPEED

 
 
Author(s):  KHOSRAVI SAM, EMARATI MOHAMMAD REZA, FADAEI NEJAD ROOH ALAH*, KEI NIA FARSHID
 
* 
 
Abstract: 

Nowadays, increasing the renewable energy applications in power system, especially wind power, has caused higher imbalance probability between generation and demand. Therefore, an accurate estimateion of wind farm reserve requirements and the reserve cost reduction in power systems with high wind power penetration is very important. In this paper, the reserve requirements of a wind farm is estimated by using a probabilistic approach. Reserve requirements of wind farm are divided into two categories provided by fast-responsive and slow-responsive resources. Indeed the purpose of this division is decreasing the cost of reserve provision by reducing the use of fast-responsive resources that is more expensive in comparison with slow-responsive resources. Wind speed prediction has been done by the ANN (Artificial Neural Network) and ARIMA (Autoregressive Integrated Moving Average), with using real measured data on a wind farm in the state of Pennsylvania. In this study, the Reserve requirements of wind farms and the cost of provision of reserve requirements will be reduced by using artificial neural networks that is a method based on artificial intelligence and is more accurate than statistical and traditional method ARIMA.

 
Keyword(s): WIND SPEEDS PREDICTIONS, RESERVE, UNCERTAINTY OF WIND ENERGY, WIND FARM, COST OF PROVISION OF RESERVES
 
References: 
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