Impact Evaluation of Grid-Connected PV Systems on PQ Parameters by Comparative Analysis based on Inferential Statistics

German Osma-Pinto, María García-Rodríguez, Jeisson Moreno-Vargas and Cesar Duarte-Gualdrón
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German Osma-Pinto: School of Electrical, Electronics, and Telecommunications Engineering, Universidad Industrial de Santander, Bucaramanga 680002, Colombia
María García-Rodríguez: School of Electrical, Electronics, and Telecommunications Engineering, Universidad Industrial de Santander, Bucaramanga 680002, Colombia
Jeisson Moreno-Vargas: School of Electrical, Electronics, and Telecommunications Engineering, Universidad Industrial de Santander, Bucaramanga 680002, Colombia
Cesar Duarte-Gualdrón: School of Electrical, Electronics, and Telecommunications Engineering, Universidad Industrial de Santander, Bucaramanga 680002, Colombia

Energies, 2020, vol. 13, issue 7, 1-19

Abstract: The intermittent injection of power and the nature of power electronic devices used for photovoltaic (PV) systems can affect the power quality (PQ) of the grid to which they are connected. This study proposes to quantify and evaluate the impact of PV injection on the PQ of a low-voltage (LV) network by applying a statistical analysis through hypothesis testing for the mean comparison of populations of parameters with and without a PV system. The effects of PV power injection and load demand at the point of common coupling on PQ are monitored. The methodology includes the selection and monitoring of PQ, the use of a matrix for classification of data with similar load and PV power injection conditions, and the application of the Wilcoxon rank sum test. This methodology was applied to evaluate the impact of a 9.8 kWp PV system on the PQ of an LV network.

Keywords: power quality; photovoltaic; statistical assessment; low-voltage network (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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