Long- and Short-Term Comparative Analysis of Renewable Energy Sources

Dawid Buła, Dariusz Grabowski, Andrzej Lange, Marcin Maciążek and Marian Pasko
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Dawid Buła: Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland
Dariusz Grabowski: Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland
Andrzej Lange: Department of Electrical, Power, Electronic and Control Engineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
Marcin Maciążek: Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland
Marian Pasko: Faculty of Electrical Engineering, Silesian University of Technology, 44-100 Gliwice, Poland

Energies, 2020, vol. 13, issue 14, 1-18

Abstract: Network working conditions are influenced noticeably by the connection of renewable energy sources to distribution networks. This becomes more and more important due to the increase in renewable energy source penetration over the last few years. This in turn can lead to a mass effect. As a result, the classical open network model with simple unidirectional direction of energy flow has been replaced with an active model that includes many local energy sources. This paper deals with the analysis of long- and short-term changes in power and energy generated by three types of renewable energy sources with similar rated power and which operate in the same region (i.e., located no more than tens of kilometers away). The obtained results can be a starting point for a broader evaluation of the influence of renewable energy sources on power quality in power systems, which can be both positive (supply reliability) and negative (voltage fluctuations and higher harmonics in current and voltage waveforms). It is important not only to correctly place but also to assure the diversity of such sources as it has been confirmed by the source variability coefficient. The long-term analysis allows us also to estimate the annual repeatability of energy production and, furthermore, the profitability of investment in renewable sources in a given region.

Keywords: harmonic distortion; power quality; renewable energy sources (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: 2020
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