The Problem of Power Variations in Wind Turbines Operating under Variable Wind Speeds over Time and the Need for Wind Energy Storage Systems

Cristian Paul Chioncel, Elisabeta Spunei () and Gelu-Ovidiu Tirian
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Cristian Paul Chioncel: Department of Engineering Sciences, Faculty of Engineering, Babes-Bolyai University, 400028 Cluj-Napoca, Romania
Elisabeta Spunei: Department of Engineering Sciences, Faculty of Engineering, Babes-Bolyai University, 400028 Cluj-Napoca, Romania
Gelu-Ovidiu Tirian: Faculty of Engineering Hunedoara, Polytechnic University of Timisoara, 300006 Timisoara, Romania

Energies, 2024, vol. 17, issue 20, 1-21

Abstract: One of the most important and efficient sources of green electricity is catching air currents through wind turbine technology. Wind power plants are located in areas where the energy potential of the wind is high but it varies. The time variation of the wind generates fluctuations in the power produced by the wind farms that is injected into the grid. This elevates, depending on the intensity, problems of network stability and the need for balancing energy, thus raising both technical and cost issues. The present paper analyzes the behavior of a wind turbine (WT) over time in varying wind speed conditions, highlighting that without automation algorithms, a WT is far from the operation at the maximum power point (MPP). However, even when it is brought to operate at MPP, there are still significant variations in the power injected into the network. These power variations can be compensated if the wind system has energy storage facilities for the captured wind. All of these assumptions are analyzed using improved mathematical models and processed in simulations, with experimental data used as input from a wind turbine with an installed power of 2.5 [MW] in operation on the Romanian Black Sea coastal area. Consequently, the paper demonstrates that during an operation in the optimal area, from an energy perspective, the wind turbine’s maximum power point requires a storage system for the captured wind energy.

Keywords: wind system; wind turbine; time-varying wind speeds; peak power points and power gaps; wind energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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