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

Michał Jasiński, Tomasz Sikorski, Paweł Kostyła, Dominika Kaczorowska, Zbigniew Leonowicz, Jacek Rezmer, Jarosław Szymańda, Przemysław Janik, Daniel Bejmert, Marek Rybiański and Elżbieta Jasińska
Additional contact information
Michał Jasiński: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Tomasz Sikorski: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Paweł Kostyła: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Dominika Kaczorowska: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Zbigniew Leonowicz: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Jacek Rezmer: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Jarosław Szymańda: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
Przemysław Janik: TAURON Ekoenergia Ltd., 58-500 Jelenia Góra, Poland
Daniel Bejmert: TAURON Ekoenergia Ltd., 58-500 Jelenia Góra, Poland
Marek Rybiański: Center of Energy Technology, 58-100 Świdnica, Poland
Elżbieta Jasińska: Association of Polish Power Engineers—Branch in Lubin, 59-300 Lubin, Poland

Energies, 2019, vol. 12, issue 18, 1-18

Abstract: 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.

Keywords: power quality; voltage variations; PV system; aggregation times; correlation analysis (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: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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