Interdependence and persistence analysis of wind speed time series from different locations in croatia
Abstract
In this paper, an analysis of the mutual dependence of wind speeds at different locations in Croatia was carried out. For the purposes of the calculation, wind speed measurement data from 10 locations in Croatia spatially distributed in counties with the best wind potential were used. These are average 10-minute wind speed data measured at a height of 50m above ground level. The analysis of interdependence of temporal wind speeds from different locations in Croatia, depending on the mutual distance between locations, points to a decrease in interdependence between wind speeds with increasing distance between locations. The results of the statistical analysis for locations from Croatia show good agreement with the results of similar studies. In the second part of the paper, autocorrelation functions for wind speeds at the considered locations are presented. The obtained autocorrelation functions were estimated by an analytical expression consisting of an exponential part (used to model wind persistence at smaller time shifts) and a part used to model the cyclic repetition of wind speeds if the same is present at larger time shifts. Based on the results of the statistical analysis of interdependence and persistence of time wind speed series, analytical expressions are defined that describe the considered dependencies. The obtained analytical expressions can be used to simulate wind speeds/production of wind farms from different locations in Croatia for the purposes of studies in which the influence of wind farms on the operation of the power system is considered.
Damir Jakus
Full Professor | Department of Power Grids and Substations
Researcher and a full professor at the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture in Split. His research interests include power system optimization and planning, RES integration, electricity market modeling.
Josip Vasilj
Associate Professor | Department of Power Grids and Substations
Researcher and Associate Professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split, where he teaches courses related to engineering economics, power system analysis, power grids and machine learning. His research focus is the application of advanced numerical methods to problems in the analysis and planning of power system operations.
Ranko Goić
Full Professor | Department of Power Grids and Substations
Full professor at the Faculty of Electrical Engineering, Mechanical Engineering, and Naval Architecture in Split exeperienced in transmission and distribution networks, renewable energy sources (RES), power system planing and economics