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Article

Influence of Measurement Aggregation Algorithms on Power Quality Assessment and Correlation Analysis in Electrical Power Network with PV Power Plant

1
Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
2
TAURON Ekoenergia Ltd., 58-500 Jelenia Góra, Poland
3
Center of Energy Technology, 58-100 Świdnica, Poland
4
Association of Polish Power Engineers—Branch in Lubin, 59-300 Lubin, Poland
*
Authors to whom correspondence should be addressed.
Energies 2019, 12(18), 3547; https://doi.org/10.3390/en12183547
Received: 21 August 2019 / Revised: 10 September 2019 / Accepted: 10 September 2019 / Published: 16 September 2019
Recently a number of changes were introduced in amendment to standard EN 50160 related to power quality (PQ) including 1 min aggregation intervals and the obligation to consider 100% of measured data taken for the assessment of voltage variation in a low voltage (LV) supply terminal. Classical power quality assessment can be extended using a correlation analysis so that relations between power quality parameters and external indices such as weather conditions or power demand can be revealed. This paper presents the results of a comparative investigation of the application of 1 and 10 min aggregation times in power quality assessment as well as in the correlation analysis of power quality parameters and weather conditions and the energy production of a 100 kW photovoltaic (PV) power plant connected to a LV network. The influence of the 1 min aggregation time on the result of the PQ assessment as well as the correlation matrix in comparison with the 10 min aggregation algorithm is presented and discussed. View Full-Text
Keywords: power quality; voltage variations; PV system; aggregation times; correlation analysis power quality; voltage variations; PV system; aggregation times; correlation analysis
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MDPI and ACS Style

Jasiński, M.; Sikorski, T.; Kostyła, P.; Kaczorowska, D.; Leonowicz, Z.; Rezmer, J.; Szymańda, J.; Janik, P.; Bejmert, D.; Rybiański, M.; Jasińska, E. Influence of Measurement Aggregation Algorithms on Power Quality Assessment and Correlation Analysis in Electrical Power Network with PV Power Plant. Energies 2019, 12, 3547. https://doi.org/10.3390/en12183547

AMA Style

Jasiński M, Sikorski T, Kostyła P, Kaczorowska D, Leonowicz Z, Rezmer J, Szymańda J, Janik P, Bejmert D, Rybiański M, Jasińska E. Influence of Measurement Aggregation Algorithms on Power Quality Assessment and Correlation Analysis in Electrical Power Network with PV Power Plant. Energies. 2019; 12(18):3547. https://doi.org/10.3390/en12183547

Chicago/Turabian Style

Jasiński, Michał, Tomasz Sikorski, Paweł Kostyła, Dominika Kaczorowska, Zbigniew Leonowicz, Jacek Rezmer, Jarosław Szymańda, Przemysław Janik, Daniel Bejmert, Marek Rybiański, and Elżbieta Jasińska. 2019. "Influence of Measurement Aggregation Algorithms on Power Quality Assessment and Correlation Analysis in Electrical Power Network with PV Power Plant" Energies 12, no. 18: 3547. https://doi.org/10.3390/en12183547

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