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

**Michał Jasi ´nski 1,\*, Tomasz Sikorski 1,\*, Paweł Kostyła 1, Dominika Kaczorowska 1, Zbigniew Leonowicz 1, Jacek Rezmer 1, Jarosław Szyma ´nda 1, Przemysław Janik 2, Daniel Bejmert 2, Marek Rybia ´nski 3 and El ˙zbieta Jasi ´nska 4**


Received: 21 August 2019; Accepted: 10 September 2019; Published: 16 September 2019

**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
