according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...

In designing for a system’s lifecycle considerations, longterm energy needs often become an important limiting factor. Shifting from conventional energy sources (e.g. fossil fuels) toward renewable sources (e.g. wind and solar) has become a popular means for focusing on the lifecycle of large-scale systems like automobiles and the national electrical grid. This same shift in small, low-power sy...

Given the substitution process of generators using renewable energy sources instead of conventional generators in modern power systems, this paper proposes a Monte Carlo based method to determine an optimal level of this change. At first, LOLE index of the system was calculated without wind power to obtain the reference index. Then, the wind turbine units are replaced with the conventional gene...

in this paper, optimal design of hybrid solar-wind- diesel energy system with battery storage for reliable load in arsoon village in ardabil is presented. the village has 35 households that mean daily energy consumption is estimated 63.4 kwh. in this design optimization is implemented, considering loss of power supply probability (lpsp) index for reliable load providing, with minimum total cons...

The volatile nature of wind power generation creates challenges in achieving secure grid operations. It is, therefore, necessary to accurately predict and its uncertainty quantification. Wind forecasting usually depends on speed prediction the wind-to-power conversion process. However, most current models only consider portions uncertainty. This paper develops an integrative framework for predi...

In this research paper, a 10 minute period measured wind speed data at 10 m, 30 m, and 40 m heights are presented for one of the major provinces of Iran. Four stations in Khuzestan- Abadan, Hosseyneh, Mahshahr, and Shushtar- are analyzed to determine the potential of wind power generation in this province. From the primary evaluation and by determining mean wind speed and also the Weibull f...

The many advantages of renewable energies—especially wind—such as abundance, permanence, and lack of pollution, have encouraged many industrialized and developing countries to focus more on these clean sources of energy. The purpose of this study is to prioritize and rank 13 cities of the Fars province in Iran in terms of their suitability for the construction of a wind farm. Six important ...

Abstract Wind power output has a high degree of randomness, so it is difficult to describe accurately with some typical probability distribution. The extreme values influence the sample’s general non-parametric kernel density estimation method, and estimated results are relatively conservative. A wind interval prediction method based on robust proposed improve compactness accuracy prediction. I...