Method to generate correlated samples of wind speed / wind power generation

Abstract

The need to develop methods for simulating the production of wind power plants is due to the fact that measurements of wind speeds, i.e. wind power production, are often not available, or the measurement sample is not large enough for the needs of various analyzes in the power system, the number and complexity of which increases in parallel with the growth of the share of wind power plants in the system. This paper describes the developed method for generating correlated patterns of wind speeds, i.e. wind power generation. The methods are applicable to the generation of simultaneous data at the level of an individual location (for each wind turbine) or multiple locations, whereby the generated data successfully reproduces the desired probability density functions and the level of interdependence between the data given in the form of a correlation factor matrix. The proposed method can find its application in various probabilistic analyzes of the operation of the power system with wind farms, such as probabilistic power flows.

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