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New Wind Speed Modeling in Order to Generation Adequacy Assessment of Wind Turbine in Defencive Sites | ||
| علوم و فناوریهای پدافند نوین | ||
| Article 5, Volume 6, Issue 2 - Serial Number 20, September 2015, Pages 119-125 PDF (284.42 K) | ||
| Authors | ||
| alireza abedi; mohammad sadegh sepasian* ; mohsen talebpoor; abdolali hagiri | ||
| Receive Date: 30 January 2019, Revise Date: 16 July 2025, Accept Date: 30 January 2019 | ||
| Abstract | ||
| Power supply of military sites with high reliability is an important issue since power stations and distributing networks are possible to be attacked and disturbed by the enemy. Thus, distributed generation units especially wind energy are used for the needed power supply. However, the intermittence and uncertainty of wind speed has an impressive effect on wind turbine power output and generation adequacy assessment. To obtain accurate result for generation adequacy assesment, it is very important to develop suitable model for wind speed. In this paper, wind speed is modeled with time series as well as hourly Weibull Pdf in which the former item has a lower accuracy and computational time in comparision with the latter one with inverse properties. In order to overcome the mentioned problem, this paper proposes a novel model for wind speed clustering pattern using self-organized neural network followed by Monte Carlo simulation for generation adequacy assessment which has better accuracy and computation time than those two hourly Weibull Pdf and time series method. The Roy Billinton Test System (RBTS) was used in the studie as military network and HLI adequacy assessment is done with Monte Carlo simulation. | ||
| Keywords | ||
| Wind Speed; Clustering with Neural Network; Monte Carlo Simulation; Adequacy Assessment | ||
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