journal article·2025-02-10Open access

Determining Signatures for Energy Mix Produced by Photovoltaic Systems and Wind Turbines

Branislav Šarkan, Jacek Caban, Arkadiusz Małek, Andrzej Marciniak

Applied Sciences· Volume 15· Issue 4

Abstract

The article contains an analysis of power generation by a photovoltaic system with a peak power of 3 MWp and a wind turbine with a power of 3.45 MW. The acquired time series of generated power was analyzed using traditional and modern analytical methods. The power generated by these two Renewable Energy Sources was characterized separately and then by their mix. In this article, the power signature was defined as the power generated by the photovoltaic system and the wind turbine in the state space over a period of one month. The state space was extracted from the results of cluster analysis. The experiment with clustering was carried out into 10 classes. The K-Means clustering algorithm was used to determine the clusters in a variant without prior labeling of classes with the method of learning without the participation of the teacher. In this way, the trajectories of the power generation process from two Renewable Energy Sources were determined in the 10-state space. Knowing which class each data record belongs to, the frequencies of staying in each state were determined. The computational algorithm presented in the article may have great practical application in balancing the power grid powered by energy produced from renewable sources.
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Research context

OpenAlex topics: Solar Radiation and Photovoltaics · Photovoltaic System Optimization Techniques · Photovoltaic Systems and Sustainability

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Road and Urban Transport, Faculty of Operation and Economics of Transport and Communications, University of Žilina, Univerzitná 8215/1, 01026 Žilina, Slovakia

Department of Automation, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland

Department of Transportation and Informatics, WSEI University, 20-209 Lublin, Poland

Funding

Research on the possibilities of implementing the measurement of particulate matter in exhaust gases of road vehicles during emission control in the conditions of the Slovak Republic

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