Methods of calculating electric power generation by wind turbines and their influence on wind speed

Author:

Bekirov E. A.1,Voskresenskaya S. N.1,Ramazanova Z. U.2,Bekirov O. S.1

Affiliation:

1. V.I. Vernadsky Crimean Federal University

2. Limited Liability Company «CRIMEA-IREY»

Abstract

RELEVANCE of the study lies in the analysis of the influence of specifying the wind speed interval on the calculation of electricity generation by certain wind turbines used in the Crimea. PURPOSE. Analysis of techniques that can be used to estimate electric power generation by wind turbines in various cases, as well as an assessment of the impact on the accuracy of the forecast of the speed indication interval when using "semi-aggregated" data. METHODS. Analytical and computational methods were used in the study, in particular, the variable substitution method, Rayleigh distribution, and the Milewski method. RESULTS. In the article the methods of calculating the electric power generation for three cases are considered. The first case uses primary observational data, so it is applicable only when a weather station is directly present in the area. The second case describes the course of calculations when the wind characteristics sensors are partially shaded and when the terrain is more complex. Here it is necessary to classify the degree of openness of the wind speed sensor. If the site is located far from weather stations or weather posts, the third method is used. In this case, the choice of interpolation nodes of the indicators of potential power generation can be quite complex. We also evaluated the effect of wind speed on electricity generation by a wind turbine. The number of aggregation intervals and the aggregation interval itself were changed, and the results were found for two wind turbines USW56-100 and T600-48, common in the Crimea. CONCLUSIONS. Wind energy is one of the promising areas, but often because of the differences between the forecast data and the actual, there are difficulties in integrating into the overall energy system. Therefore, it is important to develop methods for estimating the generation and accuracy in their use.

Publisher

Kazan State Power Engineering University

Reference19 articles.

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3. Ke Zhang, Xiao Li, Jie Su. Variable Support Segment-Based Short-Term Wind Speed Forecasting. Energies. 2022. 15. 4067. 10.3390/en15114067.

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