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

• Main Authors: Michał Jasiński, Tomasz Sikorski, Paweł Kostyła, Dominika Kaczorowska, Zbigniew Leonowicz, Jacek Rezmer, Jarosław Szymańda, Przemysław Janik, Daniel Bejmert, Marek Rybiański, Elżbieta Jasińska
• Format: Article
• Language: English
• Published: MDPI AG 2019-09-01
• Series: Energies
• Subjects: power quality; voltage variations; PV system; aggregation times; correlation analysis
• Online Access: https://www.mdpi.com/1996-1073/12/18/3547
• ISSN: 1996-1073

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.