Harmonic Distortion Prediction Model of a Grid-Tie Photovoltaic Inverter Using an Artificial Neural Network
1
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, J.J. Strossmayer University of Osijek, Osijek 31000, Croatia
2
Faculty of Technical Sciences, University of Novi Sad, Novi Sad 21000, Serbia
*
Author to whom correspondence should be addressed.
Energies 2019, 12(5), 790; https://doi.org/10.3390/en12050790
Received: 4 February 2019 / Revised: 22 February 2019 / Accepted: 23 February 2019 / Published: 27 February 2019
(This article belongs to the Section Electrical Power and Energy System)
Expanding the number of photovoltaic (PV) systems integrated into a grid raises many concerns regarding protection, system safety, and power quality. In order to monitor the effects of the current harmonics generated by PV systems, this paper presents long-term current harmonic distortion prediction models. The proposed models use a multilayer perceptron neural network, a type of artificial neural network (ANN), with input parameters that are easy to measure in order to predict current harmonics. The models were trained with one-year worth of measurements of power quality at the point of common coupling of the PV system with the distribution network and the meteorological parameters measured at the test site. A total of six different models were developed, tested, and validated regarding a number of hidden layers and input parameters. The results show that the model with three input parameters and two hidden layers generates the best prediction performance.
View Full-Text
Keywords:
power quality; photovoltaic system; current harmonics prediction; artificial neural network
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Žnidarec, M.; Klaić, Z.; Šljivac, D.; Dumnić, B. Harmonic Distortion Prediction Model of a Grid-Tie Photovoltaic Inverter Using an Artificial Neural Network. Energies 2019, 12, 790. https://doi.org/10.3390/en12050790
AMA Style
Žnidarec M, Klaić Z, Šljivac D, Dumnić B. Harmonic Distortion Prediction Model of a Grid-Tie Photovoltaic Inverter Using an Artificial Neural Network. Energies. 2019; 12(5):790. https://doi.org/10.3390/en12050790
Chicago/Turabian StyleŽnidarec, Matej; Klaić, Zvonimir; Šljivac, Damir; Dumnić, Boris. 2019. "Harmonic Distortion Prediction Model of a Grid-Tie Photovoltaic Inverter Using an Artificial Neural Network" Energies 12, no. 5: 790. https://doi.org/10.3390/en12050790
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
Search more from Scilit
